ACCESS-ESM1-5 output prepared for CMIP6
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/thetao_Omon_ACCESS-ESM1-5_piControl_r1i1p1f1_gn.yaml")
ds=cat.netcdf.read()Metadata
| title | ACCESS-ESM1-5 output prepared for CMIP6 |
| location | /shared/cmip6/data/piControl/ocean/mon/Omon/thetao/CSIRO.ACCESS-ESM1-5/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/thetao_Omon_ACCESS-ESM1-5_piControl_r1i1p1f1_gn.yaml |
| last updated | 2020-09-24 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 360, j: 300, lev: 50, time: 10800, vertices: 4)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 3.287e+05 3.287e+05
* lev (lev) float64 5.0 15.0 25.0 ... 5.499e+03 5.831e+03
* j (j) int32 0 1 2 3 4 5 6 ... 293 294 295 296 297 298 299
* i (i) int32 0 1 2 3 4 5 6 ... 353 354 355 356 357 358 359
latitude (j, i) float64 dask.array<chunksize=(300, 360), meta=np.ndarray>
longitude (j, i) float64 dask.array<chunksize=(300, 360), meta=np.ndarray>
Dimensions without coordinates: bnds, vertices
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(120, 2), meta=np.ndarray>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(120, 50, 2), meta=np.ndarray>
vertices_latitude (time, j, i, vertices) float64 dask.array<chunksize=(120, 300, 360, 4), meta=np.ndarray>
vertices_longitude (time, j, i, vertices) float64 dask.array<chunksize=(120, 300, 360, 4), meta=np.ndarray>
thetao (time, lev, j, i) float32 dask.array<chunksize=(120, 50, 300, 360), meta=np.ndarray>
Attributes:
Conventions: CF-1.7 CMIP-6.2
activity_id: CMIP
branch_method: standard
branch_time_in_child: 0.0
branch_time_in_parent: 36524.0
creation_date: 2019-11-12T22:25:52Z
data_specs_version: 01.00.30
experiment: pre-industrial control
experiment_id: piControl
external_variables: areacello volcello
forcing_index: 1
frequency: mon
further_info_url: https://furtherinfo.es-doc.org/CMIP6.CSIRO.ACCESS...
grid: native atmosphere N96 grid (145x192 latxlon)
grid_label: gn
history: 2019-11-12T22:25:52Z ; CMOR rewrote data to be co...
initialization_index: 1
institution: Commonwealth Scientific and Industrial Research O...
institution_id: CSIRO
mip_era: CMIP6
nominal_resolution: 250 km
notes: Exp: ESM-piControl; Local ID: PI-01; Variable: th...
parent_activity_id: CMIP
parent_experiment_id: piControl-spinup
parent_mip_era: CMIP6
parent_source_id: ACCESS-ESM1-5
parent_time_units: days since 0001-01-01
parent_variant_label: r1i1p1f1
physics_index: 1
product: model-output
realization_index: 1
realm: ocean
run_variant: forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2,...
source: ACCESS-ESM1.5 (2019):
aerosol: CLASSIC (v1.0)
...
source_id: ACCESS-ESM1-5
source_type: AOGCM
sub_experiment: none
sub_experiment_id: none
table_id: Omon
table_info: Creation Date:(30 April 2019) MD5:e14f55f257cceaf...
title: ACCESS-ESM1-5 output prepared for CMIP6
variable_id: thetao
variant_label: r1i1p1f1
version: v20191112
cmor_version: 3.4.0
tracking_id: hdl:21.14100/d975eb01-bf97-4830-afea-6b97d07920dc
license: CMIP6 model data produced by CSIRO is licensed un...xarray.Dataset
- bnds: 2
- i: 360
- j: 300
- lev: 50
- time: 10800
- vertices: 4
- time(time)float6415.5 45.0 ... 3.287e+05 3.287e+05
- bounds :
- time_bnds
- units :
- days since 101-01-01
- calendar :
- proleptic_gregorian
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.550000e+01, 4.500000e+01, 7.450000e+01, ..., 3.286415e+05, 3.286720e+05, 3.287025e+05]) - lev(lev)float645.0 15.0 ... 5.499e+03 5.831e+03
- bounds :
- lev_bnds
- units :
- m
- axis :
- Z
- positive :
- down
- long_name :
- ocean depth coordinate
- standard_name :
- depth
array([5.000000e+00, 1.500000e+01, 2.500000e+01, 3.500000e+01, 4.500000e+01, 5.500000e+01, 6.500000e+01, 7.500000e+01, 8.500000e+01, 9.500000e+01, 1.050000e+02, 1.150000e+02, 1.250000e+02, 1.350000e+02, 1.450000e+02, 1.550000e+02, 1.650000e+02, 1.750000e+02, 1.850000e+02, 1.950000e+02, 2.050000e+02, 2.168468e+02, 2.413490e+02, 2.807807e+02, 3.432505e+02, 4.273156e+02, 5.367156e+02, 6.654141e+02, 8.127816e+02, 9.690651e+02, 1.130935e+03, 1.289605e+03, 1.455770e+03, 1.622926e+03, 1.801558e+03, 1.984855e+03, 2.182905e+03, 2.388417e+03, 2.610935e+03, 2.842564e+03, 3.092205e+03, 3.351295e+03, 3.628058e+03, 3.913264e+03, 4.214495e+03, 4.521918e+03, 4.842566e+03, 5.166130e+03, 5.499245e+03, 5.831294e+03]) - j(j)int320 1 2 3 4 5 ... 295 296 297 298 299
- units :
- 1
- long_name :
- cell index along second dimension
array([ 0, 1, 2, ..., 297, 298, 299], dtype=int32)
- i(i)int320 1 2 3 4 5 ... 355 356 357 358 359
- units :
- 1
- long_name :
- cell index along first dimension
array([ 0, 1, 2, ..., 357, 358, 359], dtype=int32)
- latitude(j, i)float64dask.array<chunksize=(300, 360), meta=np.ndarray>
- standard_name :
- latitude
- long_name :
- latitude
- units :
- degrees_north
- bounds :
- vertices_latitude
Array Chunk Bytes 864.00 kB 864.00 kB Shape (300, 360) (300, 360) Count 445 Tasks 1 Chunks Type float64 numpy.ndarray - longitude(j, i)float64dask.array<chunksize=(300, 360), meta=np.ndarray>
- standard_name :
- longitude
- long_name :
- longitude
- units :
- degrees_east
- bounds :
- vertices_longitude
Array Chunk Bytes 864.00 kB 864.00 kB Shape (300, 360) (300, 360) Count 445 Tasks 1 Chunks Type float64 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(120, 2), meta=np.ndarray>
Array Chunk Bytes 172.80 kB 1.92 kB Shape (10800, 2) (120, 2) Count 270 Tasks 90 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(120, 50, 2), meta=np.ndarray>
Array Chunk Bytes 8.64 MB 96.00 kB Shape (10800, 50, 2) (120, 50, 2) Count 360 Tasks 90 Chunks Type float64 numpy.ndarray - vertices_latitude(time, j, i, vertices)float64dask.array<chunksize=(120, 300, 360, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 37.32 GB 414.72 MB Shape (10800, 300, 360, 4) (120, 300, 360, 4) Count 360 Tasks 90 Chunks Type float64 numpy.ndarray - vertices_longitude(time, j, i, vertices)float64dask.array<chunksize=(120, 300, 360, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 37.32 GB 414.72 MB Shape (10800, 300, 360, 4) (120, 300, 360, 4) Count 360 Tasks 90 Chunks Type float64 numpy.ndarray - thetao(time, lev, j, i)float32dask.array<chunksize=(120, 50, 300, 360), meta=np.ndarray>
- standard_name :
- sea_water_potential_temperature
- long_name :
- Sea Water Potential Temperature
- comment :
- Diagnostic should be contributed even for models using conservative temperature as prognostic field.
- units :
- degC
- cell_methods :
- area: mean where sea time: mean
- cell_measures :
- area: areacello volume: volcello
- history :
- 2019-11-12T22:25:49Z altered by CMOR: replaced missing value flag (-1e+20) with standard missing value (1e+20).
Array Chunk Bytes 233.28 GB 2.59 GB Shape (10800, 50, 300, 360) (120, 50, 300, 360) Count 270 Tasks 90 Chunks Type float32 numpy.ndarray
- Conventions :
- CF-1.7 CMIP-6.2
- activity_id :
- CMIP
- branch_method :
- standard
- branch_time_in_child :
- 0.0
- branch_time_in_parent :
- 36524.0
- creation_date :
- 2019-11-12T22:25:52Z
- data_specs_version :
- 01.00.30
- experiment :
- pre-industrial control
- experiment_id :
- piControl
- external_variables :
- areacello volcello
- forcing_index :
- 1
- frequency :
- mon
- further_info_url :
- https://furtherinfo.es-doc.org/CMIP6.CSIRO.ACCESS-ESM1-5.piControl.none.r1i1p1f1
- grid :
- native atmosphere N96 grid (145x192 latxlon)
- grid_label :
- gn
- history :
- 2019-11-12T22:25:52Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.
- initialization_index :
- 1
- institution :
- Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia
- institution_id :
- CSIRO
- mip_era :
- CMIP6
- nominal_resolution :
- 250 km
- notes :
- Exp: ESM-piControl; Local ID: PI-01; Variable: thetao (['pot_temp'])
- parent_activity_id :
- CMIP
- parent_experiment_id :
- piControl-spinup
- parent_mip_era :
- CMIP6
- parent_source_id :
- ACCESS-ESM1-5
- parent_time_units :
- days since 0001-01-01
- parent_variant_label :
- r1i1p1f1
- physics_index :
- 1
- product :
- model-output
- realization_index :
- 1
- realm :
- ocean
- run_variant :
- forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)
- source :
- ACCESS-ESM1.5 (2019): aerosol: CLASSIC (v1.0) atmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m) atmosChem: none land: CABLE2.4 landIce: none ocean: ACCESS-OM2 (MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m) ocnBgchem: WOMBAT (same grid as ocean) seaIce: CICE4.1 (same grid as ocean)
- source_id :
- ACCESS-ESM1-5
- source_type :
- AOGCM
- sub_experiment :
- none
- sub_experiment_id :
- none
- table_id :
- Omon
- table_info :
- Creation Date:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371
- title :
- ACCESS-ESM1-5 output prepared for CMIP6
- variable_id :
- thetao
- variant_label :
- r1i1p1f1
- version :
- v20191112
- cmor_version :
- 3.4.0
- tracking_id :
- hdl:21.14100/d975eb01-bf97-4830-afea-6b97d07920dc
- license :
- CMIP6 model data produced by CSIRO is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.