CNRM-CM5 model output prepared for CMIP5 historical
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/msftmyz_Omon_CNRM-CM5_historical_r9i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | CNRM-CM5 model output prepared for CMIP5 historical |
| location | /shared/cmip5/data/historical/ocean/mon/Omon/msftmyz/CNRM-CERFACS.CNRM-CM5/r9i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/msftmyz_Omon_CNRM-CM5_historical_r9i1p1.yaml |
| last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (basin: 3, bnds: 2, lat: 292, lev: 42, time: 1872)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 5.69e+04 5.693e+04 5.696e+04
region (basin) |S21 dask.array<chunksize=(3,), meta=np.ndarray>
* lev (lev) float64 5.022 15.08 25.16 ... 4.752e+03 5.051e+03 5.35e+03
* lat (lat) float64 -78.29 -78.09 -77.88 -77.67 ... 89.56 89.84 89.98
Dimensions without coordinates: basin, bnds
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, 42, 2), meta=np.ndarray>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(120, 292, 2), meta=np.ndarray>
msftmyz (time, basin, lev, lat) float32 dask.array<chunksize=(120, 3, 42, 292), meta=np.ndarray>
Attributes:
institution: CNRM (Centre National de Recherches Meteorologiqu...
institute_id: CNRM-CERFACS
experiment_id: historical
source: CNRM-CM5 2010 Atmosphere: ARPEGE-Climat (V5.2.1, ...
model_id: CNRM-CM5
forcing: GHG, SA, Sl, Vl, BC, OC
parent_experiment_id: piControl
parent_experiment_rip: r9ip
branch_time: 164359.0
contact: for all but decadal predictions : contact.CMIP5@m...
comment: Soil layers depth scheme is specific for mrlsl an...
references: See http://www.cnrm.meteo.fr/cmip5 - Follow model...
initialization_method: 1
physics_version: 1
tracking_id: 28756075-bf6f-4278-97da-be9db527dff8
product: output
experiment: historical
frequency: mon
creation_date: 2011-11-12T15:51:13Z
history: 2011-11-12T15:51:13Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Omon (26 July 2011) 25bb94a0408beca44c0f5b6...
title: CNRM-CM5 model output prepared for CMIP5 historical
parent_experiment: pre-industrial control
modeling_realm: ocean
realization: 9
cmor_version: 2.7.1xarray.Dataset
- basin: 3
- bnds: 2
- lat: 292
- lev: 42
- time: 1872
- time(time)float6415.5 45.0 ... 5.693e+04 5.696e+04
- bounds :
- time_bnds
- units :
- days since 1850-01-01 00:00:00
- calendar :
- gregorian
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 5.69015e+04, 5.69320e+04, 5.69625e+04]) - region(basin)|S21dask.array<chunksize=(3,), meta=np.ndarray>
- long_name :
- ocean basin
- standard_name :
- region
Array Chunk Bytes 63 B 63 B Shape (3,) (3,) Count 49 Tasks 1 Chunks Type |S21 numpy.ndarray - lev(lev)float645.022 15.08 ... 5.051e+03 5.35e+03
- bounds :
- lev_bnds
- units :
- m
- axis :
- Z
- positive :
- down
- long_name :
- ocean depth coordinate
- standard_name :
- depth
array([5.021590e+00, 1.507854e+01, 2.516046e+01, 3.527829e+01, 4.544776e+01, 5.569149e+01, 6.604198e+01, 7.654591e+01, 8.727029e+01, 9.831118e+01, 1.098062e+02, 1.219519e+02, 1.350285e+02, 1.494337e+02, 1.657285e+02, 1.846975e+02, 2.074254e+02, 2.353862e+02, 2.705341e+02, 3.153741e+02, 3.729655e+02, 4.468009e+02, 5.405022e+02, 6.573229e+02, 7.995496e+02, 9.679958e+02, 1.161806e+03, 1.378661e+03, 1.615291e+03, 1.868071e+03, 2.133517e+03, 2.408583e+03, 2.690780e+03, 2.978166e+03, 3.269278e+03, 3.563041e+03, 3.858676e+03, 4.155628e+03, 4.453502e+03, 4.752021e+03, 5.050990e+03, 5.350272e+03]) - lat(lat)float64-78.29 -78.09 ... 89.84 89.98
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-78.29248 , -78.087822, -77.879631, ..., 89.562836, 89.839638, 89.978043])
- time_bnds(time, bnds)float64dask.array<chunksize=(120, 2), meta=np.ndarray>
Array Chunk Bytes 29.95 kB 1.92 kB Shape (1872, 2) (120, 2) Count 48 Tasks 16 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(120, 42, 2), meta=np.ndarray>
Array Chunk Bytes 1.26 MB 80.64 kB Shape (1872, 42, 2) (120, 42, 2) Count 64 Tasks 16 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(120, 292, 2), meta=np.ndarray>
Array Chunk Bytes 8.75 MB 560.64 kB Shape (1872, 292, 2) (120, 292, 2) Count 64 Tasks 16 Chunks Type float64 numpy.ndarray - msftmyz(time, basin, lev, lat)float32dask.array<chunksize=(120, 3, 42, 292), meta=np.ndarray>
- standard_name :
- ocean_meridional_overturning_mass_streamfunction
- long_name :
- Ocean Meridional Overturning Mass Streamfunction
- comment :
- differs from CMIP3 because it includes mass.
- units :
- kg s-1
- original_name :
- 1035*(zomsfglo, zomsfatl, zomsfipc)
- original_units :
- kg/s
- history :
- 2011-11-12T15:51:13Z altered by CMOR: Converted units from 'kg/s' to 'kg s-1'.
- cell_methods :
- time: mean longitude: mean
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CNRM-CM5_historical_r0i0p0.nc
Array Chunk Bytes 275.50 MB 17.66 MB Shape (1872, 3, 42, 292) (120, 3, 42, 292) Count 48 Tasks 16 Chunks Type float32 numpy.ndarray
- institution :
- CNRM (Centre National de Recherches Meteorologiques, Meteo-France, Toulouse,&
- institute_id :
- CNRM-CERFACS
- experiment_id :
- historical
- source :
- CNRM-CM5 2010 Atmosphere: ARPEGE-Climat (V5.2.1, TL127L31); Ocean: &
- model_id :
- CNRM-CM5
- forcing :
- GHG, SA, Sl, Vl, BC, OC
- parent_experiment_id :
- piControl
- parent_experiment_rip :
- r9ip
- branch_time :
- 164359.0
- contact :
- for all but decadal predictions : contact.CMIP5@meteo.fr - METEO-FRANCE, CNRM/GMGEC/ASTER, CNRS URA 1357, 42 Av. Coriolis F-31057 TOULOUSE CEDEX 1 &
- comment :
- Soil layers depth scheme is specific for mrlsl and tsl - see variable-level comments. &
- references :
- See http://www.cnrm.meteo.fr/cmip5 - Follow model description link
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- 28756075-bf6f-4278-97da-be9db527dff8
- product :
- output
- experiment :
- historical
- frequency :
- mon
- creation_date :
- 2011-11-12T15:51:13Z
- history :
- 2011-11-12T15:51:13Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Omon (26 July 2011) 25bb94a0408beca44c0f5b601258a94e
- title :
- CNRM-CM5 model output prepared for CMIP5 historical
- parent_experiment :
- pre-industrial control
- modeling_realm :
- ocean
- realization :
- 9
- cmor_version :
- 2.7.1