An Exception was encountered at 'In [23]'.

ACCESS-OM3 and ACCESS-OM2 timeseries¶

Includes both scalar variables and spatial averages of 2d variables.

In [1]:

parameters

# These first two cells must be in all notebooks!
# It allows us to run all the notebooks at once, this cell has a tag "parameters" which allows us to pass in 
# arguments externally using papermill (see mkfigs.sh for details)

# Set esm_file to the datastore for the main experiment of interest
# esm_file = "/g/data/ol01/outputs/access-om3-25km/25km-iaf-test-for-AK-expt-7df5ef4c/datastore.json"
# esm_file = "/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf-1.0-beta-5165c0f8/datastore.json"
# esm_file = "/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test3v2-00532b88/datastore.json"
esm_file = "/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test4-d28e0359/datastore.json"

# papermill settings. *No need to modify these if running interactively.* 
papermill = False                      # `cwd` and `nbname` will be populated by papermill.
cwd = None                             # current working directory 
nbname = None                          # notebook name

# These first two cells must be in all notebooks! # It allows us to run all the notebooks at once, this cell has a tag "parameters" which allows us to pass in # arguments externally using papermill (see mkfigs.sh for details) # Set esm_file to the datastore for the main experiment of interest # esm_file = "/g/data/ol01/outputs/access-om3-25km/25km-iaf-test-for-AK-expt-7df5ef4c/datastore.json" # esm_file = "/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf-1.0-beta-5165c0f8/datastore.json" # esm_file = "/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test3v2-00532b88/datastore.json" esm_file = "/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test4-d28e0359/datastore.json" # papermill settings. *No need to modify these if running interactively.* papermill = False # `cwd` and `nbname` will be populated by papermill. cwd = None # current working directory nbname = None # notebook name

In [2]:

injected-parameters

# Parameters
esm_file = "/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151/datastore.json"
papermill = True
cwd = "/g/data/tm70/cyb561/access-om3-paper-1-runs/MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151/notebooks/mkfigs_output_MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151/"
nbname = "timeseries.ipynb"

# Parameters esm_file = "/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151/datastore.json" papermill = True cwd = "/g/data/tm70/cyb561/access-om3-paper-1-runs/MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151/notebooks/mkfigs_output_MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151/" nbname = "timeseries.ipynb"

In [3]:

import os
if not papermill: 
    import nci_ipynb  # requires conda/analysis3-26.03 or later
    cwd = nci_ipynb.dir()
    nbname = nci_ipynb.name()
    os.chdir(cwd)
import mkfigs_bootstrap  # noqa: adds external/access-model-mkfigs/src to sys.path (stop-gap)
from mkfigs import MkmdWriter
mkmd = MkmdWriter(esm_file, nbname, str(cwd), pm=papermill)

import os if not papermill: import nci_ipynb # requires conda/analysis3-26.03 or later cwd = nci_ipynb.dir() nbname = nci_ipynb.name() os.chdir(cwd) import mkfigs_bootstrap # noqa: adds external/access-model-mkfigs/src to sys.path (stop-gap) from mkfigs import MkmdWriter mkmd = MkmdWriter(esm_file, nbname, str(cwd), pm=papermill)

In [4]:

%matplotlib inline
from model_agnostic import patch_broken_conda_env, patch_dask_workers
patch_broken_conda_env()  # conda env workaround; no-op on healthy envs

import pandas as pd
import intake
import xarray as xr
import numpy as np
import cf_xarray as cfxr
import pint_xarray
from pint import application_registry as ureg
import cf_xarray.units
import cftime
import xgcm
import os

import matplotlib.pyplot as plt
import cmocean as cm
import cartopy.crs as ccrs
import cartopy.feature as cft

from dask.distributed import Client

%matplotlib inline from model_agnostic import patch_broken_conda_env, patch_dask_workers patch_broken_conda_env() # conda env workaround; no-op on healthy envs import pandas as pd import intake import xarray as xr import numpy as np import cf_xarray as cfxr import pint_xarray from pint import application_registry as ureg import cf_xarray.units import cftime import xgcm import os import matplotlib.pyplot as plt import cmocean as cm import cartopy.crs as ccrs import cartopy.feature as cft from dask.distributed import Client

In [5]:

xr.set_options(keep_attrs=True); # cf_xarray works best when xarray keeps attributes by default

xr.set_options(keep_attrs=True); # cf_xarray works best when xarray keeps attributes by default

In [6]:

client = Client(threads_per_worker=1)
patch_dask_workers(client)  # patch workers too
client

client = Client(threads_per_worker=1) patch_dask_workers(client) # patch workers too client

Out[6]:

Client

Client-79336961-8668-11f1-9586-00000083fe80

Connection method: Cluster object	Cluster type: distributed.LocalCluster
Dashboard: http://127.0.0.1:8787/status

Launch dashboard in JupyterLab

Cluster Info

LocalCluster

52bd3e79

Dashboard: http://127.0.0.1:8787/status	Workers: 16
Total threads: 16	Total memory: 188.56 GiB
Status: running	Using processes: True

Scheduler Info

Scheduler

Scheduler-86d5cc45-f24c-428e-974d-a33e707a0dc2

Comm: tcp://127.0.0.1:36393	Workers: 0
Dashboard: http://127.0.0.1:8787/status	Total threads: 0
Started: Just now	Total memory: 0 B

Workers

Worker: 0

Comm: tcp://127.0.0.1:45417	Total threads: 1
Dashboard: http://127.0.0.1:41659/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:34301
Local directory: /jobfs/174557272.gadi-pbs/dask-scratch-space/worker-aovk2t00

Worker: 1

Comm: tcp://127.0.0.1:43647	Total threads: 1
Dashboard: http://127.0.0.1:46479/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:42629
Local directory: /jobfs/174557272.gadi-pbs/dask-scratch-space/worker-tx06urjp

Worker: 2

Comm: tcp://127.0.0.1:41127	Total threads: 1
Dashboard: http://127.0.0.1:33415/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:37227
Local directory: /jobfs/174557272.gadi-pbs/dask-scratch-space/worker-huanwzic

Worker: 3

Comm: tcp://127.0.0.1:36457	Total threads: 1
Dashboard: http://127.0.0.1:39427/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:37229
Local directory: /jobfs/174557272.gadi-pbs/dask-scratch-space/worker-km34h39a

Worker: 4

Comm: tcp://127.0.0.1:35601	Total threads: 1
Dashboard: http://127.0.0.1:43069/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:33849
Local directory: /jobfs/174557272.gadi-pbs/dask-scratch-space/worker-ihw4qijm

Worker: 5

Comm: tcp://127.0.0.1:35369	Total threads: 1
Dashboard: http://127.0.0.1:37711/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:35045
Local directory: /jobfs/174557272.gadi-pbs/dask-scratch-space/worker-e_kx89dy

Worker: 6

Comm: tcp://127.0.0.1:39157	Total threads: 1
Dashboard: http://127.0.0.1:45621/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:41657
Local directory: /jobfs/174557272.gadi-pbs/dask-scratch-space/worker-3zd47i_4

Worker: 7

Comm: tcp://127.0.0.1:38349	Total threads: 1
Dashboard: http://127.0.0.1:34977/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:42207
Local directory: /jobfs/174557272.gadi-pbs/dask-scratch-space/worker-w8wst7kj

Worker: 8

Comm: tcp://127.0.0.1:45107	Total threads: 1
Dashboard: http://127.0.0.1:40085/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:36671
Local directory: /jobfs/174557272.gadi-pbs/dask-scratch-space/worker-587_bifd

Worker: 9

Comm: tcp://127.0.0.1:33673	Total threads: 1
Dashboard: http://127.0.0.1:40937/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:43351
Local directory: /jobfs/174557272.gadi-pbs/dask-scratch-space/worker-ue0annmg

Worker: 10

Comm: tcp://127.0.0.1:33699	Total threads: 1
Dashboard: http://127.0.0.1:34341/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:41433
Local directory: /jobfs/174557272.gadi-pbs/dask-scratch-space/worker-6g99i3wz

Worker: 11

Comm: tcp://127.0.0.1:33377	Total threads: 1
Dashboard: http://127.0.0.1:45491/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:44327
Local directory: /jobfs/174557272.gadi-pbs/dask-scratch-space/worker-4d_a7616

Worker: 12

Comm: tcp://127.0.0.1:45679	Total threads: 1
Dashboard: http://127.0.0.1:43825/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:44403
Local directory: /jobfs/174557272.gadi-pbs/dask-scratch-space/worker-euyvf7bm

Worker: 13

Comm: tcp://127.0.0.1:34729	Total threads: 1
Dashboard: http://127.0.0.1:44965/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:39349
Local directory: /jobfs/174557272.gadi-pbs/dask-scratch-space/worker-4xx5jq8_

Worker: 14

Comm: tcp://127.0.0.1:37731	Total threads: 1
Dashboard: http://127.0.0.1:38565/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:46599
Local directory: /jobfs/174557272.gadi-pbs/dask-scratch-space/worker-nb66ol6w

Worker: 15

Comm: tcp://127.0.0.1:40789	Total threads: 1
Dashboard: http://127.0.0.1:40965/status	Memory: 11.78 GiB
Nanny: tcp://127.0.0.1:43921
Local directory: /jobfs/174557272.gadi-pbs/dask-scratch-space/worker-z1fvhph9

In [7]:

thisdir = './'

thisdir = './'

In [8]:

IAF = esm_file.find('iaf') > 0
IAF

IAF = esm_file.find('iaf') > 0 IAF

Out[8]:

True

Define data sources¶

In [9]:

catalogs = [
                # '/g/data/ol01/access-om3-output/access-om3-025/25km-iaf-test-for-AK-expt-7df5ef4c/datastore.json',
                '/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf-1.0-beta-5165c0f8/datastore.json',
                '/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test3v2-00532b88/datastore.json',
                # '/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test3v2-COARE-12fab415/datastore.json',
                esm_file,
                '/g/data/zv30/non-cmip/ACCESS-CM3/cm3-run-03-06-2026/cm3-datastore/cm3-datastore.json',  # ACCESS-CM3
            ]
catalogs

catalogs = [ # '/g/data/ol01/access-om3-output/access-om3-025/25km-iaf-test-for-AK-expt-7df5ef4c/datastore.json', '/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf-1.0-beta-5165c0f8/datastore.json', '/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test3v2-00532b88/datastore.json', # '/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test3v2-COARE-12fab415/datastore.json', esm_file, '/g/data/zv30/non-cmip/ACCESS-CM3/cm3-run-03-06-2026/cm3-datastore/cm3-datastore.json', # ACCESS-CM3 ] catalogs

Out[9]:

['/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf-1.0-beta-5165c0f8/datastore.json',
 '/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite-test3v2-00532b88/datastore.json',
 '/g/data/ol01/outputs/access-om3-25km/MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151/datastore.json',
 '/g/data/zv30/non-cmip/ACCESS-CM3/cm3-run-03-06-2026/cm3-datastore/cm3-datastore.json']

In [10]:

datastores = { os.path.normpath(c).split(os.sep)[-2]:
               intake.open_esm_datastore(c, columns_with_iterables=['variable'])
              for c in catalogs }
datastores

datastores = { os.path.normpath(c).split(os.sep)[-2]: intake.open_esm_datastore(c, columns_with_iterables=['variable']) for c in catalogs } datastores

Out[10]:

{'MC_25km_jra_iaf-1.0-beta-5165c0f8': <datastore catalog with 22 dataset(s) from 6042 asset(s)>,
 'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <datastore catalog with 24 dataset(s) from 32927 asset(s)>,
 'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <datastore catalog with 16 dataset(s) from 2908 asset(s)>,
 'cm3-datastore': <cm3-datastore catalog with 22 dataset(s) from 6650 asset(s)>}

In [11]:

# ACCESS-OM2-025 experiment
# use control - see https://forum.access-hive.org.au/t/access-om2-control-experiments/258
if IAF:
    om2expt = '025deg_jra55_iaf_omip2_cycle1'
else:
    om2expt = '025deg_jra55_ryf9091_gadi'
om2cat = intake.cat.access_nri[om2expt]

# ACCESS-OM2-025 experiment # use control - see https://forum.access-hive.org.au/t/access-om2-control-experiments/258 if IAF: om2expt = '025deg_jra55_iaf_omip2_cycle1' else: om2expt = '025deg_jra55_ryf9091_gadi' om2cat = intake.cat.access_nri[om2expt]

Load grid data¶

This is needed for xgcm so we can get spatial averages of non-scalar data.

In [12]:

exptname = os.path.normpath(esm_file).split(os.sep)[-2]
static = xr.open_dataset(datastores[exptname].search(filename="access-om3.mom6.static.nc").df.loc[0, "path"]).drop_vars("time")

exptname = os.path.normpath(esm_file).split(os.sep)[-2] static = xr.open_dataset(datastores[exptname].search(filename="access-om3.mom6.static.nc").df.loc[0, "path"]).drop_vars("time")

/g/data/xp65/public/apps/med_conda/envs/analysis3-26.07/lib/python3.12/site-packages/argopy/utils/lists.py:38: UserWarning: An error occurred while loading the ERDDAP data fetcher, it will not be available !
<class 'ImportError'>
cannot import name '_quote_string_constraints' from 'erddapy.erddapy' (/g/data/xp65/public/apps/med_conda/envs/analysis3-26.07/lib/python3.12/site-packages/erddapy/erddapy.py)
  warnings.warn(
/g/data/xp65/public/apps/med_conda/envs/analysis3-26.07/lib/python3.12/site-packages/argopy/utils/lists.py:50: UserWarning: An error occurred while loading the ArgoVis data fetcher, it will not be available !
<class 'ImportError'>
cannot import name '_quote_string_constraints' from 'erddapy.erddapy' (/g/data/xp65/public/apps/med_conda/envs/analysis3-26.07/lib/python3.12/site-packages/erddapy/erddapy.py)
  warnings.warn(
/g/data/xp65/public/apps/med_conda/envs/analysis3-26.07/lib/python3.12/site-packages/argopy/utils/lists.py:66: UserWarning: An error occurred while loading the GDAC data fetcher, it will not be available !
<class 'ImportError'>
cannot import name '_quote_string_constraints' from 'erddapy.erddapy' (/g/data/xp65/public/apps/med_conda/envs/analysis3-26.07/lib/python3.12/site-packages/erddapy/erddapy.py)
  warnings.warn(
/g/data/xp65/public/apps/med_conda/envs/analysis3-26.07/lib/python3.12/site-packages/argopy/utils/lists.py:91: UserWarning: An error occurred while loading the ERDDAP index fetcher, it will not be available !
<class 'ImportError'>
cannot import name '_quote_string_constraints' from 'erddapy.erddapy' (/g/data/xp65/public/apps/med_conda/envs/analysis3-26.07/lib/python3.12/site-packages/erddapy/erddapy.py)
  warnings.warn(
/g/data/xp65/public/apps/med_conda/envs/analysis3-26.07/lib/python3.12/site-packages/argopy/utils/lists.py:107: UserWarning: An error occurred while loading the GDAC index fetcher, it will not be available !
<class 'ImportError'>
cannot import name '_quote_string_constraints' from 'erddapy.erddapy' (/g/data/xp65/public/apps/med_conda/envs/analysis3-26.07/lib/python3.12/site-packages/erddapy/erddapy.py)
  warnings.warn(
/g/data/xp65/public/apps/med_conda/envs/analysis3-26.07/lib/python3.12/site-packages/xarray/backends/plugins.py:109: RuntimeWarning: Engine 'argo' loading failed:
cannot import name '_quote_string_constraints' from 'erddapy.erddapy' (/g/data/xp65/public/apps/med_conda/envs/analysis3-26.07/lib/python3.12/site-packages/erddapy/erddapy.py)
  external_backend_entrypoints = backends_dict_from_pkg(entrypoints_unique)

WARNING:pint.util:Redefining 'degrees_north' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degrees_N' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degreesN' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degree_north' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degree_N' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degreeN' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degrees_east' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degrees_E' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degreesE' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degree_east' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degree_E' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'degreeE' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

WARNING:pint.util:Redefining 'gpm' (<class 'pint.delegates.txt_defparser.plain.UnitDefinition'>)

In [13]:

# See https://xgcm.readthedocs.io/en/latest/xgcm-examples/03_MOM6/#xgcm-grid-definition
symmetric = True  # True for ACCESS-OM3 2025.08.000 and later

if symmetric:  # ACCESS-OM3 version 2025.08.000 and later: one more q point than h points
    coords={
        'X': {'center': 'xh', 'outer': 'xq'},
        'Y': {'center': 'yh', 'outer': 'yq'},
        # 'Z': { 'inner': 'zl', 'outer': 'zi'}
    }
else:  # ACCESS-OM3 versions prior to 2025.08.000: equal number of q and h points
    coords={
        'X': {'center': 'xh', 'right': 'xq'},
        'Y': {'center': 'yh', 'right': 'yq'},
        # 'Z': { 'inner': 'zl', 'outer': 'zi'}
    }

grid = xgcm.Grid(
    static,
    coords=coords,
    metrics = {
        ('X',): ['dxt', 'dxCu', 'dxCv'], # X distances
        ('Y',): ['dyt', 'dyCu', 'dyCv'], # Y distances
        ('X', 'Y'): ['areacello', 'areacello_cu', 'areacello_cv', 'areacello_bu'] # Areas
    },
    periodic=['X'],
    autoparse_metadata=False
# Note, autoparse_metadata=False is required below for xgcm >= 0.9.0 to prevent xgcm 
# from trying to autoparse non-existent grid information from the file metadata, 
# leading to the error:
# ValueError: Found two coordinates without `c_grid_axis_shift` attribute for axis X
)

# See https://xgcm.readthedocs.io/en/latest/xgcm-examples/03_MOM6/#xgcm-grid-definition symmetric = True # True for ACCESS-OM3 2025.08.000 and later if symmetric: # ACCESS-OM3 version 2025.08.000 and later: one more q point than h points coords={ 'X': {'center': 'xh', 'outer': 'xq'}, 'Y': {'center': 'yh', 'outer': 'yq'}, # 'Z': { 'inner': 'zl', 'outer': 'zi'} } else: # ACCESS-OM3 versions prior to 2025.08.000: equal number of q and h points coords={ 'X': {'center': 'xh', 'right': 'xq'}, 'Y': {'center': 'yh', 'right': 'yq'}, # 'Z': { 'inner': 'zl', 'outer': 'zi'} } grid = xgcm.Grid( static, coords=coords, metrics = { ('X',): ['dxt', 'dxCu', 'dxCv'], # X distances ('Y',): ['dyt', 'dyCu', 'dyCv'], # Y distances ('X', 'Y'): ['areacello', 'areacello_cu', 'areacello_cv', 'areacello_bu'] # Areas }, periodic=['X'], autoparse_metadata=False # Note, autoparse_metadata=False is required below for xgcm >= 0.9.0 to prevent xgcm # from trying to autoparse non-existent grid information from the file metadata, # leading to the error: # ValueError: Found two coordinates without `c_grid_axis_shift` attribute for axis X )

Define list of variables and load them¶

In [14]:

fields = { # key is OM3 name, value is OM2 name
    # 'mlotst': 'mld',
    # keys from ncdump -h ctrl_run_25km_0.5/archive/output009/access-om3.mom6.scalar.1day.snap.1962.nc | grep double
    'masso': None, # Mass of liquid ocean
    'soga': 'salt_global_ave',
    'thetaoga': 'temp_global_ave', # BUG: is OM2 potential temperature? https://github.com/ACCESS-Community-Hub/access-om3-paper-1/issues/3#issuecomment-3736872326
    'tosga': 'temp_surface_ave',   # BUG: is OM2 potential temperature? https://github.com/ACCESS-Community-Hub/access-om3-paper-1/issues/3#issuecomment-3736872326
    'sosga': 'salt_surface_ave',
    'speed_max': None,
    'mlotst_max': None,
    'tos_max': None,
    'tos_min': None,
    'sos_max': None,
    'sos_min': None,
    'zos_max': None,
    'zos_min': None, 
    'total_salt_Flux_Added': None,
    'total_salt_Flux_In': None,
    'total_salt_flux': None,
    'net_fresh_water_global_adjustment': None,
    'salt_flux_global_restoring_adjustment': None,
    'total_wfo': None,
    'total_evs': None,
    'total_fsitherm': None,
    'total_precip': None,
    'total_prsn': None,
    'total_lprec': None,
    'total_ficeberg': None,
    'total_friver': None,
    'total_net_massout': None,
    'total_net_massin': None,
}
fields

fields = { # key is OM3 name, value is OM2 name # 'mlotst': 'mld', # keys from ncdump -h ctrl_run_25km_0.5/archive/output009/access-om3.mom6.scalar.1day.snap.1962.nc | grep double 'masso': None, # Mass of liquid ocean 'soga': 'salt_global_ave', 'thetaoga': 'temp_global_ave', # BUG: is OM2 potential temperature? https://github.com/ACCESS-Community-Hub/access-om3-paper-1/issues/3#issuecomment-3736872326 'tosga': 'temp_surface_ave', # BUG: is OM2 potential temperature? https://github.com/ACCESS-Community-Hub/access-om3-paper-1/issues/3#issuecomment-3736872326 'sosga': 'salt_surface_ave', 'speed_max': None, 'mlotst_max': None, 'tos_max': None, 'tos_min': None, 'sos_max': None, 'sos_min': None, 'zos_max': None, 'zos_min': None, 'total_salt_Flux_Added': None, 'total_salt_Flux_In': None, 'total_salt_flux': None, 'net_fresh_water_global_adjustment': None, 'salt_flux_global_restoring_adjustment': None, 'total_wfo': None, 'total_evs': None, 'total_fsitherm': None, 'total_precip': None, 'total_prsn': None, 'total_lprec': None, 'total_ficeberg': None, 'total_friver': None, 'total_net_massout': None, 'total_net_massin': None, } fields

Out[14]:

{'masso': None,
 'soga': 'salt_global_ave',
 'thetaoga': 'temp_global_ave',
 'tosga': 'temp_surface_ave',
 'sosga': 'salt_surface_ave',
 'speed_max': None,
 'mlotst_max': None,
 'tos_max': None,
 'tos_min': None,
 'sos_max': None,
 'sos_min': None,
 'zos_max': None,
 'zos_min': None,
 'total_salt_Flux_Added': None,
 'total_salt_Flux_In': None,
 'total_salt_flux': None,
 'net_fresh_water_global_adjustment': None,
 'salt_flux_global_restoring_adjustment': None,
 'total_wfo': None,
 'total_evs': None,
 'total_fsitherm': None,
 'total_precip': None,
 'total_prsn': None,
 'total_lprec': None,
 'total_ficeberg': None,
 'total_friver': None,
 'total_net_massout': None,
 'total_net_massin': None}

In [15]:

# from https://github.com/COSIMA/cosima-recipes/blob/main/Cooking-Lessons-101-Tutorials/ACCESS-NRI_Intake_Catalog.ipynb
# Speeding up opening your datasets
# Try passing the following argument to your to_dask or to_dataset_dict call:
# See the xarray documentation on Reading multi-file datasets for more details about these arguments.
# https://docs.xarray.dev/en/stable/user-guide/io.html#reading-multi-file-datasets

xarray_combine_by_coords_kwargs=dict(
    compat="override",
    data_vars="minimal",
    coords="minimal"
)

# from https://github.com/COSIMA/cosima-recipes/blob/main/Cooking-Lessons-101-Tutorials/ACCESS-NRI_Intake_Catalog.ipynb # Speeding up opening your datasets # Try passing the following argument to your to_dask or to_dataset_dict call: # See the xarray documentation on Reading multi-file datasets for more details about these arguments. # https://docs.xarray.dev/en/stable/user-guide/io.html#reading-multi-file-datasets xarray_combine_by_coords_kwargs=dict( compat="override", data_vars="minimal", coords="minimal" )

In [16]:

# load data, with lots of workarounds for disambiguation
data = dict()
for k, om2 in fields.items():
    print(k)
    # d = [ ds.search(variable=k).to_dataset_dict(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for ds in datastores ]
    try:
        d = { n: ds.search(variable=k) for n, ds in datastores.items() }
        d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets
    except ValueError:
        try:
            d = { n: ds.search(variable=k, frequency='1mon', variable_cell_methods='.*time: mean.*') for n, ds in datastores.items() }
            d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets
        except:
            try:
                d = { n: ds.search(variable=k, variable_cell_methods='.*time: mean.*') for n, ds in datastores.items() }
                d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets
            except:
                try:
                    d = { n: ds.search(variable=k, variable_cell_methods='.*time: point.*') for n, ds in datastores.items() }
                    d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets
                except:
                    try:
                        d = { n: ds.search(variable=k, variable_cell_methods='.*time: min.*') for n, ds in datastores.items() }
                        d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets
                    except:
                        try:
                            d = { n: ds.search(variable=k, variable_cell_methods='.*time: max.*') for n, ds in datastores.items() }
                            d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets
                        except:
                            print(f'{k} failed')
                            continue
    if om2 is None: # add access-om2 data,with variable name changed to match om3
        d2 = {}
    else:
        # d[om2expt] = om2cat.search(variable=om2).to_dask().rename({om2: k})
        d2 = {om2expt: om2cat.search(variable=om2, frequency=d[list(d.keys())[0]].attrs['intake_esm_attrs:frequency']).to_dask().rename({om2: k})}
    # if d:
    #     data[k] = xr.concat(d, 'time')
    # else:
    #     print(f'no data for {k}')
    # break
    data[k] = d2 | d
    # break

if IAF:
    for vname, d in data.items():
        for expt in d.keys():
            try:
                d[expt] = d[expt].convert_calendar("proleptic_gregorian", use_cftime=True)
            except KeyError:
                pass
data

# load data, with lots of workarounds for disambiguation data = dict() for k, om2 in fields.items(): print(k) # d = [ ds.search(variable=k).to_dataset_dict(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for ds in datastores ] try: d = { n: ds.search(variable=k) for n, ds in datastores.items() } d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets except ValueError: try: d = { n: ds.search(variable=k, frequency='1mon', variable_cell_methods='.*time: mean.*') for n, ds in datastores.items() } d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets except: try: d = { n: ds.search(variable=k, variable_cell_methods='.*time: mean.*') for n, ds in datastores.items() } d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets except: try: d = { n: ds.search(variable=k, variable_cell_methods='.*time: point.*') for n, ds in datastores.items() } d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets except: try: d = { n: ds.search(variable=k, variable_cell_methods='.*time: min.*') for n, ds in datastores.items() } d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets except: try: d = { n: ds.search(variable=k, variable_cell_methods='.*time: max.*') for n, ds in datastores.items() } d = { n: ds.to_dask(xarray_combine_by_coords_kwargs=xarray_combine_by_coords_kwargs) for n, ds in d.items() if ds } # avoid .to_dask() for empty datasets except: print(f'{k} failed') continue if om2 is None: # add access-om2 data,with variable name changed to match om3 d2 = {} else: # d[om2expt] = om2cat.search(variable=om2).to_dask().rename({om2: k}) d2 = {om2expt: om2cat.search(variable=om2, frequency=d[list(d.keys())[0]].attrs['intake_esm_attrs:frequency']).to_dask().rename({om2: k})} # if d: # data[k] = xr.concat(d, 'time') # else: # print(f'no data for {k}') # break data[k] = d2 | d # break if IAF: for vname, d in data.items(): for expt in d.keys(): try: d[expt] = d[expt].convert_calendar("proleptic_gregorian", use_cftime=True) except KeyError: pass data

masso

soga

thetaoga

tosga

sosga

speed_max

mlotst_max

tos_max

tos_min

sos_max

sos_min

zos_max

zos_min

total_salt_Flux_Added

total_salt_Flux_In

total_salt_flux

net_fresh_water_global_adjustment

salt_flux_global_restoring_adjustment

total_wfo

total_evs

total_fsitherm

total_precip

total_prsn

total_lprec

total_ficeberg

total_friver

total_net_massout

total_net_massin

Out[16]:

{'masso': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      masso        (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['masso']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      masso        (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['masso']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      masso        (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['masso']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'soga': {'025deg_jra55_iaf_omip2_cycle1': <xarray.Dataset> Size: 356kB
  Dimensions:      (time: 22280, scalar_axis: 1)
  Coordinates:
    * time         (time) object 178kB 1957-12-31 00:00:00 ... 2018-12-30 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 178kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/17)
      filename:                                 ocean_scalar_snapshot.nc
      title:                                    ACCESS-OM2
      grid_type:                                mosaic
      grid_tile:                                1
      intake_esm_vars:                          ['salt_global_ave']
      intake_esm_attrs:filename:                ocean_scalar_snapshot.nc
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...
      intake_esm_attrs:variable_units:          meter,10^15 Joules,10^15 Joules...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['soga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['soga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:      (time: 10957, scalar_axis: 1)
  Coordinates:
    * time         (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['soga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['soga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'thetaoga': {'025deg_jra55_iaf_omip2_cycle1': <xarray.Dataset> Size: 356kB
  Dimensions:      (time: 22280, scalar_axis: 1)
  Coordinates:
    * time         (time) object 178kB 1957-12-31 00:00:00 ... 2018-12-30 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 178kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/17)
      filename:                                 ocean_scalar_snapshot.nc
      title:                                    ACCESS-OM2
      grid_type:                                mosaic
      grid_tile:                                1
      intake_esm_vars:                          ['temp_global_ave']
      intake_esm_attrs:filename:                ocean_scalar_snapshot.nc
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...
      intake_esm_attrs:variable_units:          meter,10^15 Joules,10^15 Joules...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['thetaoga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['thetaoga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:      (time: 10957, scalar_axis: 1)
  Coordinates:
    * time         (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['thetaoga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['thetaoga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'tosga': {'025deg_jra55_iaf_omip2_cycle1': <xarray.Dataset> Size: 356kB
  Dimensions:      (time: 22280, scalar_axis: 1)
  Coordinates:
    * time         (time) object 178kB 1957-12-31 00:00:00 ... 2018-12-30 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 178kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/17)
      filename:                                 ocean_scalar_snapshot.nc
      title:                                    ACCESS-OM2
      grid_type:                                mosaic
      grid_tile:                                1
      intake_esm_vars:                          ['temp_surface_ave']
      intake_esm_attrs:filename:                ocean_scalar_snapshot.nc
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...
      intake_esm_attrs:variable_units:          meter,10^15 Joules,10^15 Joules...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:      (time: 10957, scalar_axis: 1)
  Coordinates:
    * time         (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'sosga': {'025deg_jra55_iaf_omip2_cycle1': <xarray.Dataset> Size: 356kB
  Dimensions:      (time: 22280, scalar_axis: 1)
  Coordinates:
    * time         (time) object 178kB 1957-12-31 00:00:00 ... 2018-12-30 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 178kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/17)
      filename:                                 ocean_scalar_snapshot.nc
      title:                                    ACCESS-OM2
      grid_type:                                mosaic
      grid_tile:                                1
      intake_esm_vars:                          ['salt_surface_ave']
      intake_esm_attrs:filename:                ocean_scalar_snapshot.nc
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...
      intake_esm_attrs:variable_units:          meter,10^15 Joules,10^15 Joules...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:      (time: 10957, scalar_axis: 1)
  Coordinates:
    * time         (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'speed_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:    (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time       (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh         (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh         (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      speed_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['speed_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:    (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time       (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh         (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh         (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      speed_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['speed_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'cm3-datastore': <xarray.Dataset> Size: 4GB
  Dimensions:    (time: 600, yh: 1152, xh: 1440)
  Coordinates:
    * time       (time) object 5kB 1981-01-16 12:00:00 ... 2030-12-16 12:00:00
    * yh         (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh         (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      speed_max  (time, yh, xh) float32 4GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/17)
      NumFilesInSet:                            1
      title:                                    ACCESS-CM3
      associated_files:                         areacello: access-cm3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['speed_max']
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...},
 'mlotst_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:     (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time        (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh          (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh          (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      mlotst_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['mlotst_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'ocean_mixed_layer...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', 'area:mean yh:mean...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:     (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time        (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh          (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh          (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      mlotst_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['mlotst_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', 'area:mean yh:mean...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 2GB
  Dimensions:     (time: 360, yh: 1152, xh: 1440)
  Coordinates:
    * time        (time) object 3kB 1990-01-16 12:00:00 ... 2019-12-16 12:00:00
    * yh          (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh          (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      mlotst_max  (time, yh, xh) float32 2GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['mlotst_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'ocean_mixed_layer...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', 'area:mean yh:mean...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'cm3-datastore': <xarray.Dataset> Size: 4GB
  Dimensions:     (time: 600, yh: 1152, xh: 1440)
  Coordinates:
    * time        (time) object 5kB 1981-01-16 12:00:00 ... 2030-12-16 12:00:00
    * yh          (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh          (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      mlotst_max  (time, yh, xh) float32 4GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/17)
      NumFilesInSet:                            1
      title:                                    ACCESS-CM3
      associated_files:                         areacello: access-cm3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['mlotst_max']
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', 'area:mean yh:mean...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...},
 'tos_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', 'sea_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'cm3-datastore': <xarray.Dataset> Size: 4GB
  Dimensions:  (time: 600, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1981-01-16 12:00:00 ... 2030-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_max  (time, yh, xh) float32 4GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/17)
      NumFilesInSet:                            1
      title:                                    ACCESS-CM3
      associated_files:                         areacello: access-cm3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_max']
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...},
 'tos_min': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', 'sea_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'cm3-datastore': <xarray.Dataset> Size: 4GB
  Dimensions:  (time: 600, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1981-01-16 12:00:00 ... 2030-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_min  (time, yh, xh) float32 4GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/17)
      NumFilesInSet:                            1
      title:                                    ACCESS-CM3
      associated_files:                         areacello: access-cm3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_min']
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...},
 'sos_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', 'sea_surface_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'cm3-datastore': <xarray.Dataset> Size: 4GB
  Dimensions:  (time: 600, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1981-01-16 12:00:00 ... 2030-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_max  (time, yh, xh) float32 4GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/17)
      NumFilesInSet:                            1
      title:                                    ACCESS-CM3
      associated_files:                         areacello: access-cm3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_max']
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...},
 'sos_min': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', 'sea_surface_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'cm3-datastore': <xarray.Dataset> Size: 4GB
  Dimensions:  (time: 600, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1981-01-16 12:00:00 ... 2030-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_min  (time, yh, xh) float32 4GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/17)
      NumFilesInSet:                            1
      title:                                    ACCESS-CM3
      associated_files:                         areacello: access-cm3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_min']
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...},
 'zos_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'cm3-datastore': <xarray.Dataset> Size: 4GB
  Dimensions:  (time: 600, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1981-01-16 12:00:00 ... 2030-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_max  (time, yh, xh) float32 4GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/17)
      NumFilesInSet:                            1
      title:                                    ACCESS-CM3
      associated_files:                         areacello: access-cm3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_max']
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...},
 'zos_min': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'cm3-datastore': <xarray.Dataset> Size: 4GB
  Dimensions:  (time: 600, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1981-01-16 12:00:00 ... 2030-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_min  (time, yh, xh) float32 4GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/17)
      NumFilesInSet:                            1
      title:                                    ACCESS-CM3
      associated_files:                         areacello: access-cm3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_min']
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...},
 'total_salt_Flux_Added': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:                (time: 20819, scalar_axis: 1)
  Coordinates:
    * time                   (time) object 167kB 1958-01-02 00:00:00 ... 2015-0...
    * scalar_axis            (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_Added  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_Added']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:                (time: 24106, scalar_axis: 1)
  Coordinates:
    * time                   (time) object 193kB 1958-01-02 00:00:00 ... 2024-0...
    * scalar_axis            (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_Added  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_Added']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:                (time: 10957, scalar_axis: 1)
  Coordinates:
    * time                   (time) object 88kB 1990-01-02 00:00:00 ... 2020-01...
    * scalar_axis            (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_Added  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_Added']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:                (time: 18262, scalar_axis: 1)
  Coordinates:
    * time                   (time) object 146kB 1981-01-02 00:00:00 ... 2031-0...
    * scalar_axis            (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_Added  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_Added']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_salt_Flux_In': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:             (time: 20819, scalar_axis: 1)
  Coordinates:
    * time                (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-0...
    * scalar_axis         (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_In  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_In']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:             (time: 24106, scalar_axis: 1)
  Coordinates:
    * time                (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-0...
    * scalar_axis         (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_In  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_In']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:             (time: 10957, scalar_axis: 1)
  Coordinates:
    * time                (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01...
    * scalar_axis         (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_In  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_In']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:             (time: 18262, scalar_axis: 1)
  Coordinates:
    * time                (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-0...
    * scalar_axis         (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_In  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_In']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_salt_flux': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:          (time: 20819, scalar_axis: 1)
  Coordinates:
    * time             (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 0...
    * scalar_axis      (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_flux  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_flux']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:          (time: 24106, scalar_axis: 1)
  Coordinates:
    * time             (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 0...
    * scalar_axis      (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_flux  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_flux']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:          (time: 10957, scalar_axis: 1)
  Coordinates:
    * time             (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00...
    * scalar_axis      (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_flux  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_flux']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:          (time: 18262, scalar_axis: 1)
  Coordinates:
    * time             (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 0...
    * scalar_axis      (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_flux  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_flux']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'net_fresh_water_global_adjustment': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:                            (time: 20819, scalar_axis: 1)
  Coordinates:
    * time                               (time) object 167kB 1958-01-02 00:00:0...
    * scalar_axis                        (scalar_axis) float64 8B 0.0
  Data variables:
      net_fresh_water_global_adjustment  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['net_fresh_water_global_adjust...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:                            (time: 24106, scalar_axis: 1)
  Coordinates:
    * time                               (time) object 193kB 1958-01-02 00:00:0...
    * scalar_axis                        (scalar_axis) float64 8B 0.0
  Data variables:
      net_fresh_water_global_adjustment  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['net_fresh_water_global_adjust...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:                            (time: 10957, scalar_axis: 1)
  Coordinates:
    * time                               (time) object 88kB 1990-01-02 00:00:00...
    * scalar_axis                        (scalar_axis) float64 8B 0.0
  Data variables:
      net_fresh_water_global_adjustment  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['net_fresh_water_global_adjust...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:                            (time: 18262, scalar_axis: 1)
  Coordinates:
    * time                               (time) object 146kB 1981-01-02 00:00:0...
    * scalar_axis                        (scalar_axis) float64 8B 0.0
  Data variables:
      net_fresh_water_global_adjustment  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['net_fresh_water_global_adjust...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'salt_flux_global_restoring_adjustment': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:                                (time: 20819, scalar_axis: 1)
  Coordinates:
    * time                                   (time) object 167kB 1958-01-02 00:...
    * scalar_axis                            (scalar_axis) float64 8B 0.0
  Data variables:
      salt_flux_global_restoring_adjustment  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['salt_flux_global_restoring_ad...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:                                (time: 24106, scalar_axis: 1)
  Coordinates:
    * time                                   (time) object 193kB 1958-01-02 00:...
    * scalar_axis                            (scalar_axis) float64 8B 0.0
  Data variables:
      salt_flux_global_restoring_adjustment  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['salt_flux_global_restoring_ad...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:                                (time: 10957, scalar_axis: 1)
  Coordinates:
    * time                                   (time) object 88kB 1990-01-02 00:0...
    * scalar_axis                            (scalar_axis) float64 8B 0.0
  Data variables:
      salt_flux_global_restoring_adjustment  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['salt_flux_global_restoring_ad...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:                                (time: 18262, scalar_axis: 1)
  Coordinates:
    * time                                   (time) object 146kB 1981-01-02 00:...
    * scalar_axis                            (scalar_axis) float64 8B 0.0
  Data variables:
      salt_flux_global_restoring_adjustment  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['salt_flux_global_restoring_ad...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_wfo': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_wfo    (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_wfo']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_wfo    (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_wfo']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:      (time: 10957, scalar_axis: 1)
  Coordinates:
    * time         (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_wfo    (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_wfo']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_wfo    (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_wfo']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_evs': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_evs    (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_evs']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_evs    (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_evs']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:      (time: 10957, scalar_axis: 1)
  Coordinates:
    * time         (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_evs    (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_evs']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_evs    (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_evs']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_fsitherm': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:         (time: 20819, scalar_axis: 1)
  Coordinates:
    * time            (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_fsitherm  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_fsitherm']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:         (time: 24106, scalar_axis: 1)
  Coordinates:
    * time            (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_fsitherm  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_fsitherm']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:         (time: 10957, scalar_axis: 1)
  Coordinates:
    * time            (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_fsitherm  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_fsitherm']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:         (time: 18262, scalar_axis: 1)
  Coordinates:
    * time            (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_fsitherm  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_fsitherm']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_precip': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:       (time: 20819, scalar_axis: 1)
  Coordinates:
    * time          (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_precip  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_precip']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:       (time: 24106, scalar_axis: 1)
  Coordinates:
    * time          (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_precip  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_precip']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:       (time: 10957, scalar_axis: 1)
  Coordinates:
    * time          (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_precip  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_precip']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:       (time: 18262, scalar_axis: 1)
  Coordinates:
    * time          (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_precip  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_precip']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_prsn': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_prsn   (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_prsn']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_prsn   (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_prsn']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:      (time: 10957, scalar_axis: 1)
  Coordinates:
    * time         (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_prsn   (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_prsn']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_prsn   (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_prsn']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_lprec': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_lprec  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_lprec']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_lprec  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_lprec']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:      (time: 10957, scalar_axis: 1)
  Coordinates:
    * time         (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_lprec  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_lprec']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_lprec  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_lprec']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_ficeberg': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:         (time: 20819, scalar_axis: 1)
  Coordinates:
    * time            (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_ficeberg  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_ficeberg']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:         (time: 24106, scalar_axis: 1)
  Coordinates:
    * time            (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_ficeberg  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_ficeberg']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:         (time: 10957, scalar_axis: 1)
  Coordinates:
    * time            (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_ficeberg  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_ficeberg']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:         (time: 18262, scalar_axis: 1)
  Coordinates:
    * time            (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_ficeberg  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_ficeberg']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_friver': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:       (time: 20819, scalar_axis: 1)
  Coordinates:
    * time          (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_friver  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_friver']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:       (time: 24106, scalar_axis: 1)
  Coordinates:
    * time          (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_friver  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_friver']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:       (time: 10957, scalar_axis: 1)
  Coordinates:
    * time          (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_friver  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_friver']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:       (time: 18262, scalar_axis: 1)
  Coordinates:
    * time          (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_friver  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_friver']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_net_massout': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:            (time: 20819, scalar_axis: 1)
  Coordinates:
    * time               (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01...
    * scalar_axis        (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massout  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massout']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:            (time: 24106, scalar_axis: 1)
  Coordinates:
    * time               (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01...
    * scalar_axis        (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massout  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massout']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:            (time: 10957, scalar_axis: 1)
  Coordinates:
    * time               (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 ...
    * scalar_axis        (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massout  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massout']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:            (time: 18262, scalar_axis: 1)
  Coordinates:
    * time               (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01...
    * scalar_axis        (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massout  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massout']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_net_massin': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:           (time: 20819, scalar_axis: 1)
  Coordinates:
    * time              (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 ...
    * scalar_axis       (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massin  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massin']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:           (time: 24106, scalar_axis: 1)
  Coordinates:
    * time              (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 ...
    * scalar_axis       (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massin  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massin']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:           (time: 10957, scalar_axis: 1)
  Coordinates:
    * time              (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 0...
    * scalar_axis       (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massin  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massin']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:           (time: 18262, scalar_axis: 1)
  Coordinates:
    * time              (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 ...
    * scalar_axis       (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massin  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massin']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point}}

In [17]:

data.keys()

data.keys()

Out[17]:

dict_keys(['masso', 'soga', 'thetaoga', 'tosga', 'sosga', 'speed_max', 'mlotst_max', 'tos_max', 'tos_min', 'sos_max', 'sos_min', 'zos_max', 'zos_min', 'total_salt_Flux_Added', 'total_salt_Flux_In', 'total_salt_flux', 'net_fresh_water_global_adjustment', 'salt_flux_global_restoring_adjustment', 'total_wfo', 'total_evs', 'total_fsitherm', 'total_precip', 'total_prsn', 'total_lprec', 'total_ficeberg', 'total_friver', 'total_net_massout', 'total_net_massin'])

In [18]:

data

data

Out[18]:

{'masso': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      masso        (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['masso']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      masso        (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['masso']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      masso        (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['masso']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'soga': {'025deg_jra55_iaf_omip2_cycle1': <xarray.Dataset> Size: 356kB
  Dimensions:      (time: 22280, scalar_axis: 1)
  Coordinates:
    * time         (time) object 178kB 1957-12-31 00:00:00 ... 2018-12-30 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 178kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/17)
      filename:                                 ocean_scalar_snapshot.nc
      title:                                    ACCESS-OM2
      grid_type:                                mosaic
      grid_tile:                                1
      intake_esm_vars:                          ['salt_global_ave']
      intake_esm_attrs:filename:                ocean_scalar_snapshot.nc
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...
      intake_esm_attrs:variable_units:          meter,10^15 Joules,10^15 Joules...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['soga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['soga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:      (time: 10957, scalar_axis: 1)
  Coordinates:
    * time         (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['soga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      soga         (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['soga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'thetaoga': {'025deg_jra55_iaf_omip2_cycle1': <xarray.Dataset> Size: 356kB
  Dimensions:      (time: 22280, scalar_axis: 1)
  Coordinates:
    * time         (time) object 178kB 1957-12-31 00:00:00 ... 2018-12-30 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 178kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/17)
      filename:                                 ocean_scalar_snapshot.nc
      title:                                    ACCESS-OM2
      grid_type:                                mosaic
      grid_tile:                                1
      intake_esm_vars:                          ['temp_global_ave']
      intake_esm_attrs:filename:                ocean_scalar_snapshot.nc
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...
      intake_esm_attrs:variable_units:          meter,10^15 Joules,10^15 Joules...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['thetaoga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['thetaoga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:      (time: 10957, scalar_axis: 1)
  Coordinates:
    * time         (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['thetaoga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      thetaoga     (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['thetaoga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'tosga': {'025deg_jra55_iaf_omip2_cycle1': <xarray.Dataset> Size: 356kB
  Dimensions:      (time: 22280, scalar_axis: 1)
  Coordinates:
    * time         (time) object 178kB 1957-12-31 00:00:00 ... 2018-12-30 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 178kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/17)
      filename:                                 ocean_scalar_snapshot.nc
      title:                                    ACCESS-OM2
      grid_type:                                mosaic
      grid_tile:                                1
      intake_esm_vars:                          ['temp_surface_ave']
      intake_esm_attrs:filename:                ocean_scalar_snapshot.nc
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...
      intake_esm_attrs:variable_units:          meter,10^15 Joules,10^15 Joules...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:      (time: 10957, scalar_axis: 1)
  Coordinates:
    * time         (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      tosga        (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'sosga': {'025deg_jra55_iaf_omip2_cycle1': <xarray.Dataset> Size: 356kB
  Dimensions:      (time: 22280, scalar_axis: 1)
  Coordinates:
    * time         (time) object 178kB 1957-12-31 00:00:00 ... 2018-12-30 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 178kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/17)
      filename:                                 ocean_scalar_snapshot.nc
      title:                                    ACCESS-OM2
      grid_type:                                mosaic
      grid_tile:                                1
      intake_esm_vars:                          ['salt_surface_ave']
      intake_esm_attrs:filename:                ocean_scalar_snapshot.nc
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   time: point,time: point,time: p...
      intake_esm_attrs:variable_units:          meter,10^15 Joules,10^15 Joules...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:      (time: 10957, scalar_axis: 1)
  Coordinates:
    * time         (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      sosga        (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sosga']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'speed_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:    (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time       (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh         (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh         (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      speed_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['speed_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:    (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time       (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh         (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh         (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      speed_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['speed_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'cm3-datastore': <xarray.Dataset> Size: 4GB
  Dimensions:    (time: 600, yh: 1152, xh: 1440)
  Coordinates:
    * time       (time) object 5kB 1981-01-16 12:00:00 ... 2030-12-16 12:00:00
    * yh         (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh         (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      speed_max  (time, yh, xh) float32 4GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/17)
      NumFilesInSet:                            1
      title:                                    ACCESS-CM3
      associated_files:                         areacello: access-cm3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['speed_max']
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...},
 'mlotst_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:     (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time        (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh          (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh          (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      mlotst_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['mlotst_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'ocean_mixed_layer...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', 'area:mean yh:mean...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:     (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time        (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh          (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh          (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      mlotst_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['mlotst_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', 'area:mean yh:mean...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 2GB
  Dimensions:     (time: 360, yh: 1152, xh: 1440)
  Coordinates:
    * time        (time) object 3kB 1990-01-16 12:00:00 ... 2019-12-16 12:00:00
    * yh          (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh          (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      mlotst_max  (time, yh, xh) float32 2GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['mlotst_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'ocean_mixed_layer...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', 'area:mean yh:mean...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'cm3-datastore': <xarray.Dataset> Size: 4GB
  Dimensions:     (time: 600, yh: 1152, xh: 1440)
  Coordinates:
    * time        (time) object 5kB 1981-01-16 12:00:00 ... 2030-12-16 12:00:00
    * yh          (yh) float64 9kB -81.58 -81.52 -81.45 ... 89.74 89.84 89.95
    * xh          (xh) float64 12kB -279.9 -279.6 -279.4 ... 79.38 79.62 79.88
  Data variables:
      mlotst_max  (time, yh, xh) float32 4GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/17)
      NumFilesInSet:                            1
      title:                                    ACCESS-CM3
      associated_files:                         areacello: access-cm3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['mlotst_max']
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', 'area:mean yh:mean...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...},
 'tos_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', 'sea_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'cm3-datastore': <xarray.Dataset> Size: 4GB
  Dimensions:  (time: 600, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1981-01-16 12:00:00 ... 2030-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_max  (time, yh, xh) float32 4GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/17)
      NumFilesInSet:                            1
      title:                                    ACCESS-CM3
      associated_files:                         areacello: access-cm3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_max']
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...},
 'tos_min': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', 'sea_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'cm3-datastore': <xarray.Dataset> Size: 4GB
  Dimensions:  (time: 600, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1981-01-16 12:00:00 ... 2030-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      tos_min  (time, yh, xh) float32 4GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/17)
      NumFilesInSet:                            1
      title:                                    ACCESS-CM3
      associated_files:                         areacello: access-cm3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['tos_min']
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', 'area:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...},
 'sos_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', 'sea_surface_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'cm3-datastore': <xarray.Dataset> Size: 4GB
  Dimensions:  (time: 600, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1981-01-16 12:00:00 ... 2030-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_max  (time, yh, xh) float32 4GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/17)
      NumFilesInSet:                            1
      title:                                    ACCESS-CM3
      associated_files:                         areacello: access-cm3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_max']
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...},
 'sos_min': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', 'sea_surface_s...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'cm3-datastore': <xarray.Dataset> Size: 4GB
  Dimensions:  (time: 600, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1981-01-16 12:00:00 ... 2030-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      sos_min  (time, yh, xh) float32 4GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/17)
      NumFilesInSet:                            1
      title:                                    ACCESS-CM3
      associated_files:                         areacello: access-cm3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['sos_min']
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', 'area:mean yh:...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...},
 'zos_max': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_max  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_max']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'cm3-datastore': <xarray.Dataset> Size: 4GB
  Dimensions:  (time: 600, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1981-01-16 12:00:00 ... 2030-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_max  (time, yh, xh) float32 4GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/17)
      NumFilesInSet:                            1
      title:                                    ACCESS-CM3
      associated_files:                         areacello: access-cm3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_max']
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          max
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...},
 'zos_min': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 684, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1958-01-16 12:00:00 ... 2014-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 5GB
  Dimensions:  (time: 792, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 6kB 1958-01-16 12:00:00 ... 2023-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_min  (time, yh, xh) float32 5GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/16)
      title:                                    ACCESS-OM3
      associated_files:                         areacello: access-om3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_min']
      intake_esm_attrs:file_id:                 ocean.1mon.nv:2.xh:1440.yh:1152
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...,
  'cm3-datastore': <xarray.Dataset> Size: 4GB
  Dimensions:  (time: 600, yh: 1152, xh: 1440)
  Coordinates:
    * time     (time) object 5kB 1981-01-16 12:00:00 ... 2030-12-16 12:00:00
    * yh       (yh) float64 9kB -81.58 -81.52 -81.45 -81.39 ... 89.74 89.84 89.95
    * xh       (xh) float64 12kB -279.9 -279.6 -279.4 -279.1 ... 79.38 79.62 79.88
  Data variables:
      zos_min  (time, yh, xh) float32 4GB dask.array<chunksize=(12, 1152, 1440), meta=np.ndarray>
  Attributes: (12/17)
      NumFilesInSet:                            1
      title:                                    ACCESS-CM3
      associated_files:                         areacello: access-cm3.mom6.stat...
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['zos_min']
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...
      intake_esm_attrs:variable_units:          ['days', 'days since 1900-01-01...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          min
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1mon.nv:2.xh:1440.yh:1152...},
 'total_salt_Flux_Added': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:                (time: 20819, scalar_axis: 1)
  Coordinates:
    * time                   (time) object 167kB 1958-01-02 00:00:00 ... 2015-0...
    * scalar_axis            (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_Added  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_Added']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:                (time: 24106, scalar_axis: 1)
  Coordinates:
    * time                   (time) object 193kB 1958-01-02 00:00:00 ... 2024-0...
    * scalar_axis            (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_Added  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_Added']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:                (time: 10957, scalar_axis: 1)
  Coordinates:
    * time                   (time) object 88kB 1990-01-02 00:00:00 ... 2020-01...
    * scalar_axis            (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_Added  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_Added']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:                (time: 18262, scalar_axis: 1)
  Coordinates:
    * time                   (time) object 146kB 1981-01-02 00:00:00 ... 2031-0...
    * scalar_axis            (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_Added  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_Added']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_salt_Flux_In': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:             (time: 20819, scalar_axis: 1)
  Coordinates:
    * time                (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-0...
    * scalar_axis         (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_In  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_In']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:             (time: 24106, scalar_axis: 1)
  Coordinates:
    * time                (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-0...
    * scalar_axis         (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_In  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_In']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:             (time: 10957, scalar_axis: 1)
  Coordinates:
    * time                (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01...
    * scalar_axis         (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_In  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_In']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:             (time: 18262, scalar_axis: 1)
  Coordinates:
    * time                (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-0...
    * scalar_axis         (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_Flux_In  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_Flux_In']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_salt_flux': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:          (time: 20819, scalar_axis: 1)
  Coordinates:
    * time             (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 0...
    * scalar_axis      (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_flux  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_flux']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:          (time: 24106, scalar_axis: 1)
  Coordinates:
    * time             (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 0...
    * scalar_axis      (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_flux  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_flux']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:          (time: 10957, scalar_axis: 1)
  Coordinates:
    * time             (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00...
    * scalar_axis      (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_flux  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_flux']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:          (time: 18262, scalar_axis: 1)
  Coordinates:
    * time             (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 0...
    * scalar_axis      (scalar_axis) float64 8B 0.0
  Data variables:
      total_salt_flux  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_salt_flux']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'net_fresh_water_global_adjustment': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:                            (time: 20819, scalar_axis: 1)
  Coordinates:
    * time                               (time) object 167kB 1958-01-02 00:00:0...
    * scalar_axis                        (scalar_axis) float64 8B 0.0
  Data variables:
      net_fresh_water_global_adjustment  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['net_fresh_water_global_adjust...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:                            (time: 24106, scalar_axis: 1)
  Coordinates:
    * time                               (time) object 193kB 1958-01-02 00:00:0...
    * scalar_axis                        (scalar_axis) float64 8B 0.0
  Data variables:
      net_fresh_water_global_adjustment  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['net_fresh_water_global_adjust...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:                            (time: 10957, scalar_axis: 1)
  Coordinates:
    * time                               (time) object 88kB 1990-01-02 00:00:00...
    * scalar_axis                        (scalar_axis) float64 8B 0.0
  Data variables:
      net_fresh_water_global_adjustment  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['net_fresh_water_global_adjust...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:                            (time: 18262, scalar_axis: 1)
  Coordinates:
    * time                               (time) object 146kB 1981-01-02 00:00:0...
    * scalar_axis                        (scalar_axis) float64 8B 0.0
  Data variables:
      net_fresh_water_global_adjustment  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['net_fresh_water_global_adjust...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'salt_flux_global_restoring_adjustment': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:                                (time: 20819, scalar_axis: 1)
  Coordinates:
    * time                                   (time) object 167kB 1958-01-02 00:...
    * scalar_axis                            (scalar_axis) float64 8B 0.0
  Data variables:
      salt_flux_global_restoring_adjustment  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['salt_flux_global_restoring_ad...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:                                (time: 24106, scalar_axis: 1)
  Coordinates:
    * time                                   (time) object 193kB 1958-01-02 00:...
    * scalar_axis                            (scalar_axis) float64 8B 0.0
  Data variables:
      salt_flux_global_restoring_adjustment  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['salt_flux_global_restoring_ad...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:                                (time: 10957, scalar_axis: 1)
  Coordinates:
    * time                                   (time) object 88kB 1990-01-02 00:0...
    * scalar_axis                            (scalar_axis) float64 8B 0.0
  Data variables:
      salt_flux_global_restoring_adjustment  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['salt_flux_global_restoring_ad...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:                                (time: 18262, scalar_axis: 1)
  Coordinates:
    * time                                   (time) object 146kB 1981-01-02 00:...
    * scalar_axis                            (scalar_axis) float64 8B 0.0
  Data variables:
      salt_flux_global_restoring_adjustment  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['salt_flux_global_restoring_ad...
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_wfo': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_wfo    (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_wfo']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_wfo    (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_wfo']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:      (time: 10957, scalar_axis: 1)
  Coordinates:
    * time         (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_wfo    (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_wfo']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_wfo    (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_wfo']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_evs': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_evs    (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_evs']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_evs    (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_evs']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:      (time: 10957, scalar_axis: 1)
  Coordinates:
    * time         (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_evs    (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_evs']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_evs    (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_evs']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_fsitherm': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:         (time: 20819, scalar_axis: 1)
  Coordinates:
    * time            (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_fsitherm  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_fsitherm']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:         (time: 24106, scalar_axis: 1)
  Coordinates:
    * time            (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_fsitherm  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_fsitherm']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:         (time: 10957, scalar_axis: 1)
  Coordinates:
    * time            (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_fsitherm  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_fsitherm']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:         (time: 18262, scalar_axis: 1)
  Coordinates:
    * time            (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_fsitherm  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_fsitherm']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_precip': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:       (time: 20819, scalar_axis: 1)
  Coordinates:
    * time          (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_precip  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_precip']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:       (time: 24106, scalar_axis: 1)
  Coordinates:
    * time          (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_precip  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_precip']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:       (time: 10957, scalar_axis: 1)
  Coordinates:
    * time          (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_precip  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_precip']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:       (time: 18262, scalar_axis: 1)
  Coordinates:
    * time          (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_precip  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_precip']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_prsn': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_prsn   (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_prsn']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_prsn   (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_prsn']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:      (time: 10957, scalar_axis: 1)
  Coordinates:
    * time         (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_prsn   (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_prsn']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_prsn   (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_prsn']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_lprec': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:      (time: 20819, scalar_axis: 1)
  Coordinates:
    * time         (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_lprec  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_lprec']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:      (time: 24106, scalar_axis: 1)
  Coordinates:
    * time         (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_lprec  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_lprec']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:      (time: 10957, scalar_axis: 1)
  Coordinates:
    * time         (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_lprec  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_lprec']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:      (time: 18262, scalar_axis: 1)
  Coordinates:
    * time         (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:00:00
    * scalar_axis  (scalar_axis) float64 8B 0.0
  Data variables:
      total_lprec  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_lprec']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_ficeberg': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:         (time: 20819, scalar_axis: 1)
  Coordinates:
    * time            (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_ficeberg  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_ficeberg']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:         (time: 24106, scalar_axis: 1)
  Coordinates:
    * time            (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_ficeberg  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_ficeberg']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:         (time: 10957, scalar_axis: 1)
  Coordinates:
    * time            (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_ficeberg  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_ficeberg']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:         (time: 18262, scalar_axis: 1)
  Coordinates:
    * time            (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00...
    * scalar_axis     (scalar_axis) float64 8B 0.0
  Data variables:
      total_ficeberg  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_ficeberg']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_friver': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:       (time: 20819, scalar_axis: 1)
  Coordinates:
    * time          (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_friver  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_friver']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:       (time: 24106, scalar_axis: 1)
  Coordinates:
    * time          (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_friver  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_friver']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:       (time: 10957, scalar_axis: 1)
  Coordinates:
    * time          (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 00:00:00
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_friver  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_friver']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:       (time: 18262, scalar_axis: 1)
  Coordinates:
    * time          (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 00:0...
    * scalar_axis   (scalar_axis) float64 8B 0.0
  Data variables:
      total_friver  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_friver']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_net_massout': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:            (time: 20819, scalar_axis: 1)
  Coordinates:
    * time               (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01...
    * scalar_axis        (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massout  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massout']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:            (time: 24106, scalar_axis: 1)
  Coordinates:
    * time               (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01...
    * scalar_axis        (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massout  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massout']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:            (time: 10957, scalar_axis: 1)
  Coordinates:
    * time               (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 ...
    * scalar_axis        (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massout  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massout']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:            (time: 18262, scalar_axis: 1)
  Coordinates:
    * time               (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01...
    * scalar_axis        (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massout  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massout']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point},
 'total_net_massin': {'MC_25km_jra_iaf-1.0-beta-5165c0f8': <xarray.Dataset> Size: 333kB
  Dimensions:           (time: 20819, scalar_axis: 1)
  Coordinates:
    * time              (time) object 167kB 1958-01-02 00:00:00 ... 2015-01-01 ...
    * scalar_axis       (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massin  (time, scalar_axis) float64 167kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massin']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['sea_water_mass', '', '', '', ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'MC_25km_jra_iaf+wombatlite-test3v2-00532b88': <xarray.Dataset> Size: 386kB
  Dimensions:           (time: 24106, scalar_axis: 1)
  Coordinates:
    * time              (time) object 193kB 1958-01-02 00:00:00 ... 2024-01-01 ...
    * scalar_axis       (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massin  (time, scalar_axis) float64 193kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massin']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['Celsius', 'kg', 'kg m-2 s-1',...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point,
  'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151': <xarray.Dataset> Size: 175kB
  Dimensions:           (time: 10957, scalar_axis: 1)
  Coordinates:
    * time              (time) object 88kB 1990-01-02 00:00:00 ... 2020-01-01 0...
    * scalar_axis       (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massin  (time, scalar_axis) float64 88kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/14)
      title:                                    ACCESS-OM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massin']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_standard_name:  ['', '', '', 'sea_water_salinit...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg m-2 s-1', 'kg m-2 s-1', ''...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1,
  'cm3-datastore': <xarray.Dataset> Size: 292kB
  Dimensions:           (time: 18262, scalar_axis: 1)
  Coordinates:
    * time              (time) object 146kB 1981-01-02 00:00:00 ... 2031-01-01 ...
    * scalar_axis       (scalar_axis) float64 8B 0.0
  Data variables:
      total_net_massin  (time, scalar_axis) float64 146kB dask.array<chunksize=(365, 1), meta=np.ndarray>
  Attributes: (12/15)
      title:                                    ACCESS-CM3
      grid_type:                                regular
      grid_tile:                                N/A
      intake_esm_vars:                          ['total_net_massin']
      intake_esm_attrs:file_id:                 ocean.1day.scalar_axis:1
      intake_esm_attrs:frequency:               1day
      ...                                       ...
      intake_esm_attrs:variable_cell_methods:   ['time: point', 'time: point', ...
      intake_esm_attrs:variable_units:          ['kg', 'kg m-2 s-1', 'kg m-2 s-...
      intake_esm_attrs:realm:                   ocean
      intake_esm_attrs:temporal_label:          point
      intake_esm_attrs:_data_format_:           netcdf
      intake_esm_dataset_key:                   ocean.1day.scalar_axis:1.point}}

Plot timeseries¶

In [19]:

# set date range
# trange = slice(cftime.DatetimeNoLeap(1900, 1, 1, 0, 0, 0, 0),
#                cftime.DatetimeNoLeap(1960, 1, 1, 0, 0, 0, 0))
trange = slice(None, None)  # all available

# set date range # trange = slice(cftime.DatetimeNoLeap(1900, 1, 1, 0, 0, 0, 0), # cftime.DatetimeNoLeap(1960, 1, 1, 0, 0, 0, 0)) trange = slice(None, None) # all available

In [20]:

for k, d in data.items():
    print(k)
    fname = thisdir+k+'_'+list(d.values())[-1][k].attrs['long_name'].replace(' ', '_').replace('/','_')+'.png'
    # print(fname)
    if False: #os.path.isfile(fname):
        print(f'---- skipping existing file {fname}')
    else:
        plt.figure(figsize=(10,5))
        ax = plt.subplot(111)
        for n, ds in d.items():
            dat = ds[k].sel(time=trange)
            if dat.cell_methods.find('time: mean') >= 0:
                # calculate spatial average if needed
                if 'depth' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average
                    dat = grid.average(dat, ['X', 'Y', 'Z'])
                elif 'longitude' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average
                    dat = grid.average(dat, ['X', 'Y'])
            elif dat.cell_methods.find('time: max') >= 0:
                dat = dat.cf.max(dim=['longitude', 'latitude'])
            elif dat.cell_methods.find('time: min') >= 0:
                dat = dat.cf.min(dim=['longitude', 'latitude'])
            # dat = dat - dat.isel(time=0)
            dat.load()
            # if int((dat.time[1]-dat.time[0]).values/1e9/60/60/24) == 1:
            #     label = 'daily'
            # else:
            #     label = 'monthly mean' # possible BUG: plausible guess
            # p = dat.plot(label=' '.join([n, label]), linewidth=1)
            p = dat.plot(linewidth=.7)
            dat.cf.resample(time='1YE').mean('time').plot(
                color=p[-1].get_color(),
                linewidth=2,
                label=n
            )
            # dat.cf.rolling(time=12, center=True).mean('time').plot()
            # dat.cf.rolling(time='1YE', center=True).mean('time').plot()
        # NB: title from first item (OM3), but y axis label from last item (may be OM2)
        # plt.title(k+': '+list(d.values())[0][k].attrs['long_name'])
        plt.title(f'{k}: {dat.attrs["long_name"]}')
        plt.xlabel('')
        plt.autoscale(enable=True, axis='x', tight=True)
        plt.legend()
        # # Shrink current axis's height from the bottom
        # box = ax.get_position()
        # ax.set_position([box.x0, box.y0 + box.height * 0.4,
        #                  box.width, box.height * 0.6])
        # # Put a legend below current axis
        # ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.08))
        # # try:
        #     plt.savefig(fname, dpi=150)
        #     print(f'saved {fname}')
        # except FileNotFoundError:
        #     print(f'*** FileNotFoundError when saving {fname}')
        # break
    mkmd.savefig(plt.gcf(), f"Timeseries: {k}", "ACCESS-OM3 global model timeseries. [GitHub issue: Global average annual mean time series](https://github.com/ACCESS-Community-Hub/access-om3-paper-1/issues/3)")

for k, d in data.items(): print(k) fname = thisdir+k+'_'+list(d.values())[-1][k].attrs['long_name'].replace(' ', '_').replace('/','_')+'.png' # print(fname) if False: #os.path.isfile(fname): print(f'---- skipping existing file {fname}') else: plt.figure(figsize=(10,5)) ax = plt.subplot(111) for n, ds in d.items(): dat = ds[k].sel(time=trange) if dat.cell_methods.find('time: mean') >= 0: # calculate spatial average if needed if 'depth' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average dat = grid.average(dat, ['X', 'Y', 'Z']) elif 'longitude' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average dat = grid.average(dat, ['X', 'Y']) elif dat.cell_methods.find('time: max') >= 0: dat = dat.cf.max(dim=['longitude', 'latitude']) elif dat.cell_methods.find('time: min') >= 0: dat = dat.cf.min(dim=['longitude', 'latitude']) # dat = dat - dat.isel(time=0) dat.load() # if int((dat.time[1]-dat.time[0]).values/1e9/60/60/24) == 1: # label = 'daily' # else: # label = 'monthly mean' # possible BUG: plausible guess # p = dat.plot(label=' '.join([n, label]), linewidth=1) p = dat.plot(linewidth=.7) dat.cf.resample(time='1YE').mean('time').plot( color=p[-1].get_color(), linewidth=2, label=n ) # dat.cf.rolling(time=12, center=True).mean('time').plot() # dat.cf.rolling(time='1YE', center=True).mean('time').plot() # NB: title from first item (OM3), but y axis label from last item (may be OM2) # plt.title(k+': '+list(d.values())[0][k].attrs['long_name']) plt.title(f'{k}: {dat.attrs["long_name"]}') plt.xlabel('') plt.autoscale(enable=True, axis='x', tight=True) plt.legend() # # Shrink current axis's height from the bottom # box = ax.get_position() # ax.set_position([box.x0, box.y0 + box.height * 0.4, # box.width, box.height * 0.6]) # # Put a legend below current axis # ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.08)) # # try: # plt.savefig(fname, dpi=150) # print(f'saved {fname}') # except FileNotFoundError: # print(f'*** FileNotFoundError when saving {fname}') # break mkmd.savefig(plt.gcf(), f"Timeseries: {k}", "ACCESS-OM3 global model timeseries. [GitHub issue: Global average annual mean time series](https://github.com/ACCESS-Community-Hub/access-om3-paper-1/issues/3)")

masso

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/jobfs/174557272.gadi-pbs/ipykernel_1054086/423038875.py:8: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  plt.figure(figsize=(10,5))

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In [21]:

# just plot soga, omitting 25km-iaf-test-for-AK-expt-7df5ef4c
for k, d in data.items():
    if k != "soga":
        continue
    print(k)
    fname = thisdir+k+'_'+list(d.values())[-1][k].attrs['long_name'].replace(' ', '_').replace('/','_')+'.png'
    # print(fname)
    if False: #os.path.isfile(fname):
        print(f'---- skipping existing file {fname}')
    else:
        plt.figure(figsize=(10,5))
        ax = plt.subplot(111)
        for n, ds in d.items():
            if n == "25km-iaf-test-for-AK-expt-7df5ef4c":
                continue
            dat = ds[k].sel(time=trange)
            if dat.cell_methods.find('time: mean') >= 0:
                # calculate spatial average if needed
                if 'depth' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average
                    dat = grid.average(dat, ['X', 'Y', 'Z'])
                elif 'longitude' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average
                    dat = grid.average(dat, ['X', 'Y'])
            elif dat.cell_methods.find('time: max') >= 0:
                dat = dat.cf.max(dim=['longitude', 'latitude'])
            elif dat.cell_methods.find('time: min') >= 0:
                dat = dat.cf.min(dim=['longitude', 'latitude'])
            # dat = dat - dat.isel(time=0)
            dat.load()
            # if int((dat.time[1]-dat.time[0]).values/1e9/60/60/24) == 1:
            #     label = 'daily'
            # else:
            #     label = 'monthly mean' # possible BUG: plausible guess
            # p = dat.plot(label=' '.join([n, label]), linewidth=1)
            p = dat.plot(linewidth=.7)
            dat.cf.resample(time='1YE').mean('time').plot(
                color=p[-1].get_color(),
                linewidth=2,
                label=n
            )
            # dat.cf.rolling(time=12, center=True).mean('time').plot()
            # dat.cf.rolling(time='1YE', center=True).mean('time').plot()
        # NB: title from first item (OM3), but y axis label from last item (may be OM2)
        # plt.title(k+': '+list(d.values())[0][k].attrs['long_name'])
        plt.title(f'{k}: {dat.attrs["long_name"]}')
        plt.xlabel('')
        plt.autoscale(enable=True, axis='x', tight=True)
        plt.legend()
        # # Shrink current axis's height from the bottom
        # box = ax.get_position()
        # ax.set_position([box.x0, box.y0 + box.height * 0.4,
        #                  box.width, box.height * 0.6])
        # # Put a legend below current axis
        # ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.08))
        # # try:
        #     plt.savefig(fname, dpi=150)
        #     print(f'saved {fname}')
        # except FileNotFoundError:
        #     print(f'*** FileNotFoundError when saving {fname}')
        # break

# just plot soga, omitting 25km-iaf-test-for-AK-expt-7df5ef4c for k, d in data.items(): if k != "soga": continue print(k) fname = thisdir+k+'_'+list(d.values())[-1][k].attrs['long_name'].replace(' ', '_').replace('/','_')+'.png' # print(fname) if False: #os.path.isfile(fname): print(f'---- skipping existing file {fname}') else: plt.figure(figsize=(10,5)) ax = plt.subplot(111) for n, ds in d.items(): if n == "25km-iaf-test-for-AK-expt-7df5ef4c": continue dat = ds[k].sel(time=trange) if dat.cell_methods.find('time: mean') >= 0: # calculate spatial average if needed if 'depth' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average dat = grid.average(dat, ['X', 'Y', 'Z']) elif 'longitude' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average dat = grid.average(dat, ['X', 'Y']) elif dat.cell_methods.find('time: max') >= 0: dat = dat.cf.max(dim=['longitude', 'latitude']) elif dat.cell_methods.find('time: min') >= 0: dat = dat.cf.min(dim=['longitude', 'latitude']) # dat = dat - dat.isel(time=0) dat.load() # if int((dat.time[1]-dat.time[0]).values/1e9/60/60/24) == 1: # label = 'daily' # else: # label = 'monthly mean' # possible BUG: plausible guess # p = dat.plot(label=' '.join([n, label]), linewidth=1) p = dat.plot(linewidth=.7) dat.cf.resample(time='1YE').mean('time').plot( color=p[-1].get_color(), linewidth=2, label=n ) # dat.cf.rolling(time=12, center=True).mean('time').plot() # dat.cf.rolling(time='1YE', center=True).mean('time').plot() # NB: title from first item (OM3), but y axis label from last item (may be OM2) # plt.title(k+': '+list(d.values())[0][k].attrs['long_name']) plt.title(f'{k}: {dat.attrs["long_name"]}') plt.xlabel('') plt.autoscale(enable=True, axis='x', tight=True) plt.legend() # # Shrink current axis's height from the bottom # box = ax.get_position() # ax.set_position([box.x0, box.y0 + box.height * 0.4, # box.width, box.height * 0.6]) # # Put a legend below current axis # ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.08)) # # try: # plt.savefig(fname, dpi=150) # print(f'saved {fname}') # except FileNotFoundError: # print(f'*** FileNotFoundError when saving {fname}') # break

soga

# same as above, except initial value is subtracted for k, d in data.items(): print(k) fname = thisdir+k+'_'+list(d.values())[-1][k].attrs['long_name'].replace(' ', '_').replace('/','_')+'-IC.png' # print(fname) if False: #os.path.isfile(fname): print(f'---- skipping existing file {fname}') else: plt.figure(figsize=(10,5)) ax = plt.subplot(111) for n, ds in d.items(): dat = ds[k].sel(time=trange) if dat.cell_methods.find('time: mean') >= 0: # calculate spatial average if needed if 'depth' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average dat = grid.average(dat, ['X', 'Y', 'Z']) elif 'longitude' in dat.cf.coords: # https://xgcm.readthedocs.io/en/latest/grid_metrics.html?highlight=average#Grid-aware-(weighted)-average dat = grid.average(dat, ['X', 'Y']) elif dat.cell_methods.find('time: max') >= 0: dat = dat.cf.max(dim=['longitude', 'latitude']) elif dat.cell_methods.find('time: min') >= 0: dat = dat.cf.min(dim=['longitude', 'latitude']) dat = dat - dat.isel(time=0) dat.load() # if int((dat.time[1]-dat.time[0]).values/1e9/60/60/24) == 1: # label = 'daily' # else: # label = 'monthly mean' # possible BUG: plausible guess # p = dat.plot(label=' '.join([n, label]), linewidth=1) p = dat.plot(linewidth=.7) dat.cf.resample(time='1YE').mean('time').plot( color=p[-1].get_color(), linewidth=2, label=n ) # dat.cf.rolling(time=12, center=True).mean('time').plot() # dat.cf.rolling(time='1YE', center=True).mean('time').plot() # NB: title from first item (OM3), but y axis label from last item (may be OM2) # plt.title(k+': '+list(d.values())[0][k].attrs['long_name']) plt.title(f'{k}: {dat.attrs["long_name"]} minus initial') plt.xlabel('') plt.autoscale(enable=True, axis='x', tight=True) plt.legend() # # Shrink current axis's height from the bottom # box = ax.get_position() # ax.set_position([box.x0, box.y0 + box.height * 0.4, # box.width, box.height * 0.6]) # # Put a legend below current axis # ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.08)) # # try: # plt.savefig(fname, dpi=150) # print(f'saved {fname}') # except FileNotFoundError: # print(f'*** FileNotFoundError when saving {fname}') # break

Water balance checks¶

https://github.com/ACCESS-NRI/access-om3-configs/issues/920

In [22]:

esm_name = os.path.normpath(esm_file).split(os.sep)[-2]
esm_name

esm_name = os.path.normpath(esm_file).split(os.sep)[-2] esm_name

Out[22]:

'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151'

Execution using papermill encountered an exception here and stopped:

In [23]:

masked_areacello = static['areacello'] + 0*data['tos_max'][esm_name].tos_max.isel(time=0)

masked_areacello = static['areacello'] + 0*data['tos_max'][esm_name].tos_max.isel(time=0)

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
Cell In[23], line 1
----> 1 masked_areacello = static['areacello'] + 0*data['tos_max'][esm_name].tos_max.isel(time=0)

KeyError: 'MC_25km_jra_iaf+wombatlite_bs1-mpudig-backscat1-4c21c151'

In [ ]:

masked_areacello.plot()

masked_areacello.plot()

In [ ]:

total_ocean_area = masked_areacello.sum().load()

total_ocean_area = masked_areacello.sum().load()

In [ ]:

total_fsitherm = data['total_fsitherm'][esm_name]['total_fsitherm'].load()

total_fsitherm = data['total_fsitherm'][esm_name]['total_fsitherm'].load()

In [ ]:

total_fsitherm.plot()

total_fsitherm.plot()

In [ ]:

try:
    net_fresh_water_global_adjustment = (data['net_fresh_water_global_adjustment'][esm_name]['net_fresh_water_global_adjustment'] * total_ocean_area).load()
    net_fresh_water_global_adjustment.plot()
    (net_fresh_water_global_adjustment - total_fsitherm).plot()
except KeyError:
    pass

try: net_fresh_water_global_adjustment = (data['net_fresh_water_global_adjustment'][esm_name]['net_fresh_water_global_adjustment'] * total_ocean_area).load() net_fresh_water_global_adjustment.plot() (net_fresh_water_global_adjustment - total_fsitherm).plot() except KeyError: pass