CNRM-CM6-1-HR model output prepared for CMIP6 / CMIP piControl
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_CNRM-CM6-1-HR_piControl_r1i1p1f2_gn.yaml")
ds=cat.netcdf.read()Metadata
| title | CNRM-CM6-1-HR model output prepared for CMIP6 / CMIP piControl |
| location | /shared/cmip6/data/piControl/ocean/mon/Omon/thetao/CNRM-CERFACS.CNRM-CM6-1-HR/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/thetao_Omon_CNRM-CM6-1-HR_piControl_r1i1p1f2_gn.yaml |
| last updated | 2020-10-12 |
Dataset Contents
<xarray.Dataset>
Dimensions: (axis_nbounds: 2, lev: 75, nvertex: 4, time: 3600, x: 1442, y: 1050)
Coordinates:
lat (y, x) float32 dask.array<chunksize=(1050, 1442), meta=np.ndarray>
lon (y, x) float32 dask.array<chunksize=(1050, 1442), meta=np.ndarray>
* lev (lev) float64 0.5058 1.556 2.668 ... 5.698e+03 5.902e+03
* time (time) float64 15.5 45.0 74.5 ... 1.095e+05 1.095e+05 1.096e+05
Dimensions without coordinates: axis_nbounds, nvertex, x, y
Data variables:
bounds_lon (time, y, x, nvertex) float32 dask.array<chunksize=(60, 1050, 1442, 4), meta=np.ndarray>
bounds_lat (time, y, x, nvertex) float32 dask.array<chunksize=(60, 1050, 1442, 4), meta=np.ndarray>
lev_bounds (time, lev, axis_nbounds) float64 dask.array<chunksize=(60, 75, 2), meta=np.ndarray>
time_bounds (time, axis_nbounds) float64 dask.array<chunksize=(60, 2), meta=np.ndarray>
thetao (time, lev, y, x) float32 dask.array<chunksize=(60, 75, 1050, 1442), meta=np.ndarray>
Attributes:
Conventions: CF-1.7 CMIP-6.2
creation_date: 2019-05-02T22:24:42Z
description: DECK: control
title: CNRM-CM6-1-HR model output prepared for CMIP6 / C...
activity_id: CMIP
contact: contact.cmip@meteo.fr
data_specs_version: 01.00.21
dr2xml_version: 1.16
experiment_id: piControl
experiment: pre-industrial control
external_variables: areacello volcello
forcing_index: 2
frequency: mon
further_info_url: https://furtherinfo.es-doc.org/CMIP6.CNRM-CERFACS...
grid: native ocean tri-polar grid with 1.47 M ocean cells
grid_label: gn
nominal_resolution: 25 km
initialization_index: 1
institution_id: CNRM-CERFACS
institution: CNRM (Centre National de Recherches Meteorologiqu...
license: CMIP6 model data produced by CNRM-CERFACS is lice...
mip_era: CMIP6
parent_experiment_id: p i C o n t r o l - s p i n u p
parent_mip_era: CMIP6
parent_activity_id: C M I P
parent_source_id: CNRM-CM6-1-HR
parent_time_units: days since 1850-01-01 00:00:00
parent_variant_label: r1i1p1f2
branch_method: standard
branch_time_in_parent: 91311.0
branch_time_in_child: 0.0
physics_index: 1
product: model-output
realization_index: 1
realm: ocean
references: http://www.umr-cnrm.fr/cmip6/references
source: CNRM-CM6-1-HR (2017): aerosol: prescribed monthl...
source_id: CNRM-CM6-1-HR
source_type: AOGCM
sub_experiment_id: none
sub_experiment: none
table_id: Omon
variable_id: thetao
variant_label: r1i1p1f2
EXPID: CNRM-CM6-1-HR_piControl_r1i1p1f2
CMIP6_CV_version: cv=6.2.3.0-7-g2019642
dr2xml_md5sum: 45d4369d889ddfb8149d771d8625e9ec
xios_commit: 1442-shuffle
nemo_gelato_commit: f14d6d368174f0e_8250e198106a168
arpege_minor_version: 6.3.3
history: none
tracking_id: hdl:21.14100/7ca47a5e-c88a-43e5-8063-754f83d94675xarray.Dataset
- axis_nbounds: 2
- lev: 75
- nvertex: 4
- time: 3600
- x: 1442
- y: 1050
- lat(y, x)float32dask.array<chunksize=(1050, 1442), meta=np.ndarray>
- standard_name :
- latitude
- long_name :
- Latitude
- units :
- degrees_north
- bounds :
- bounds_lat
Array Chunk Bytes 6.06 MB 6.06 MB Shape (1050, 1442) (1050, 1442) Count 295 Tasks 1 Chunks Type float32 numpy.ndarray - lon(y, x)float32dask.array<chunksize=(1050, 1442), meta=np.ndarray>
- standard_name :
- longitude
- long_name :
- Longitude
- units :
- degrees_east
- bounds :
- bounds_lon
Array Chunk Bytes 6.06 MB 6.06 MB Shape (1050, 1442) (1050, 1442) Count 295 Tasks 1 Chunks Type float32 numpy.ndarray - lev(lev)float640.5058 1.556 ... 5.902e+03
- name :
- lev
- long_name :
- Vertical T levels
- units :
- m
- positive :
- down
- bounds :
- lev_bounds
array([5.057600e-01, 1.555855e+00, 2.667682e+00, 3.856280e+00, 5.140361e+00, 6.543034e+00, 8.092518e+00, 9.822750e+00, 1.177368e+01, 1.399104e+01, 1.652532e+01, 1.942980e+01, 2.275762e+01, 2.655830e+01, 3.087456e+01, 3.574020e+01, 4.118002e+01, 4.721189e+01, 5.385064e+01, 6.111284e+01, 6.902168e+01, 7.761116e+01, 8.692943e+01, 9.704131e+01, 1.080303e+02, 1.200000e+02, 1.330758e+02, 1.474062e+02, 1.631645e+02, 1.805499e+02, 1.997900e+02, 2.211412e+02, 2.448906e+02, 2.713564e+02, 3.008875e+02, 3.338628e+02, 3.706885e+02, 4.117938e+02, 4.576256e+02, 5.086399e+02, 5.652923e+02, 6.280260e+02, 6.972586e+02, 7.733683e+02, 8.566789e+02, 9.474479e+02, 1.045854e+03, 1.151991e+03, 1.265861e+03, 1.387377e+03, 1.516364e+03, 1.652568e+03, 1.795671e+03, 1.945295e+03, 2.101027e+03, 2.262422e+03, 2.429025e+03, 2.600380e+03, 2.776039e+03, 2.955570e+03, 3.138565e+03, 3.324641e+03, 3.513446e+03, 3.704657e+03, 3.897982e+03, 4.093159e+03, 4.289952e+03, 4.488155e+03, 4.687581e+03, 4.888070e+03, 5.089479e+03, 5.291683e+03, 5.494575e+03, 5.698061e+03, 5.902058e+03]) - time(time)float6415.5 45.0 ... 1.095e+05 1.096e+05
- axis :
- T
- standard_name :
- time
- long_name :
- Time axis
- calendar :
- gregorian
- units :
- days since 1850-01-01 00:00:00
- time_origin :
- 1850-01-01 00:00:00
- bounds :
- time_bounds
array([1.550000e+01, 4.500000e+01, 7.450000e+01, ..., 1.094965e+05, 1.095270e+05, 1.095575e+05])
- bounds_lon(time, y, x, nvertex)float32dask.array<chunksize=(60, 1050, 1442, 4), meta=np.ndarray>
Array Chunk Bytes 87.21 GB 1.45 GB Shape (3600, 1050, 1442, 4) (60, 1050, 1442, 4) Count 240 Tasks 60 Chunks Type float32 numpy.ndarray - bounds_lat(time, y, x, nvertex)float32dask.array<chunksize=(60, 1050, 1442, 4), meta=np.ndarray>
Array Chunk Bytes 87.21 GB 1.45 GB Shape (3600, 1050, 1442, 4) (60, 1050, 1442, 4) Count 240 Tasks 60 Chunks Type float32 numpy.ndarray - lev_bounds(time, lev, axis_nbounds)float64dask.array<chunksize=(60, 75, 2), meta=np.ndarray>
- units :
- m
Array Chunk Bytes 4.32 MB 72.00 kB Shape (3600, 75, 2) (60, 75, 2) Count 240 Tasks 60 Chunks Type float64 numpy.ndarray - time_bounds(time, axis_nbounds)float64dask.array<chunksize=(60, 2), meta=np.ndarray>
Array Chunk Bytes 57.60 kB 960 B Shape (3600, 2) (60, 2) Count 180 Tasks 60 Chunks Type float64 numpy.ndarray - thetao(time, lev, y, x)float32dask.array<chunksize=(60, 75, 1050, 1442), meta=np.ndarray>
- standard_name :
- sea_water_potential_temperature
- long_name :
- Sea Water Potential Temperature
- units :
- degC
- online_operation :
- average
- cell_methods :
- area: mean where sea time: mean
- interval_operation :
- 900 s
- interval_write :
- 1 month
- description :
- Diagnostic should be contributed even for models using conservative temperature as prognostic field.
- history :
- none
- cell_measures :
- area: areacello volume: volcello
Array Chunk Bytes 1.64 TB 27.25 GB Shape (3600, 75, 1050, 1442) (60, 75, 1050, 1442) Count 180 Tasks 60 Chunks Type float32 numpy.ndarray
- Conventions :
- CF-1.7 CMIP-6.2
- creation_date :
- 2019-05-02T22:24:42Z
- description :
- DECK: control
- title :
- CNRM-CM6-1-HR model output prepared for CMIP6 / CMIP piControl
- activity_id :
- CMIP
- contact :
- contact.cmip@meteo.fr
- data_specs_version :
- 01.00.21
- dr2xml_version :
- 1.16
- experiment_id :
- piControl
- experiment :
- pre-industrial control
- external_variables :
- areacello volcello
- forcing_index :
- 2
- frequency :
- mon
- further_info_url :
- https://furtherinfo.es-doc.org/CMIP6.CNRM-CERFACS.CNRM-CM6-1-HR.piControl.none.r1i1p1f2
- grid :
- native ocean tri-polar grid with 1.47 M ocean cells
- grid_label :
- gn
- nominal_resolution :
- 25 km
- initialization_index :
- 1
- institution_id :
- CNRM-CERFACS
- institution :
- CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France)
- license :
- CMIP6 model data produced by CNRM-CERFACS is licensed under a Creative Commons Attribution-NonCommercial-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) and at http://www.umr-cnrm.fr/cmip6/. 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.
- mip_era :
- CMIP6
- parent_experiment_id :
- p i C o n t r o l - s p i n u p
- parent_mip_era :
- CMIP6
- parent_activity_id :
- C M I P
- parent_source_id :
- CNRM-CM6-1-HR
- parent_time_units :
- days since 1850-01-01 00:00:00
- parent_variant_label :
- r1i1p1f2
- branch_method :
- standard
- branch_time_in_parent :
- 91311.0
- branch_time_in_child :
- 0.0
- physics_index :
- 1
- product :
- model-output
- realization_index :
- 1
- realm :
- ocean
- references :
- http://www.umr-cnrm.fr/cmip6/references
- source :
- CNRM-CM6-1-HR (2017): aerosol: prescribed monthly fields computed by TACTIC_v2 scheme atmos: Arpege 6.3 (T359; Gaussian Reduced with 181724 grid points in total distributed over 360 latitude circles (with 720 grid points per latitude circle between 32.2degN and 32.2degS reducing to 18 grid points per latitude circle at 89.6degN and 89.6degS); 91 levels; top level 78.4 km) atmosChem: OZL_v2 land: Surfex 8.0c ocean: Nemo 3.6 (eORCA025, tripolar primarily 1/4deg; 1442 x 1050 longitude/latitude; 75 levels; top grid cell 0-1 m) seaIce: Gelato 6.1
- source_id :
- CNRM-CM6-1-HR
- source_type :
- AOGCM
- sub_experiment_id :
- none
- sub_experiment :
- none
- table_id :
- Omon
- variable_id :
- thetao
- variant_label :
- r1i1p1f2
- EXPID :
- CNRM-CM6-1-HR_piControl_r1i1p1f2
- CMIP6_CV_version :
- cv=6.2.3.0-7-g2019642
- dr2xml_md5sum :
- 45d4369d889ddfb8149d771d8625e9ec
- xios_commit :
- 1442-shuffle
- nemo_gelato_commit :
- f14d6d368174f0e_8250e198106a168
- arpege_minor_version :
- 6.3.3
- history :
- none
- tracking_id :
- hdl:21.14100/7ca47a5e-c88a-43e5-8063-754f83d94675