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/tauvo_Omon_CNRM-CM5_historical_r2i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | CNRM-CM5 model output prepared for CMIP5 historical |
location | /shared/cmip5/data/historical/ocean/mon/Omon/tauvo/CNRM-CERFACS.CNRM-CM5/r2i1p1 |
tags | gridded,global,model,monthly |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tauvo_Omon_CNRM-CM5_historical_r2i1p1.yaml |
last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, i: 362, j: 292, time: 1872, vertices: 4) Coordinates: * time (time) float64 15.5 45.0 74.5 ... 5.69e+04 5.693e+04 5.696e+04 * j (j) int32 1 2 3 4 5 6 7 8 ... 285 286 287 288 289 290 291 292 * i (i) int32 1 2 3 4 5 6 7 8 ... 355 356 357 358 359 360 361 362 lat (j, i) float32 dask.array<chunksize=(292, 362), meta=np.ndarray> lon (j, i) float32 dask.array<chunksize=(292, 362), meta=np.ndarray> Dimensions without coordinates: bnds, vertices Data variables: time_bnds (time, bnds) float64 dask.array<chunksize=(120, 2), meta=np.ndarray> lat_vertices (time, j, i, vertices) float32 dask.array<chunksize=(120, 292, 362, 4), meta=np.ndarray> lon_vertices (time, j, i, vertices) float32 dask.array<chunksize=(120, 292, 362, 4), meta=np.ndarray> tauvo (time, j, i) float32 dask.array<chunksize=(120, 292, 362), 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: r2ip branch_time: 36524.0 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: 353e36fa-ae42-40df-b26c-da1916732672 product: output experiment: historical frequency: mon creation_date: 2011-11-09T18:56:13Z history: 2011-11-09T18:56:13Z 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: 2 cmor_version: 2.7.1
xarray.Dataset
- bnds: 2
- i: 362
- j: 292
- time: 1872
- vertices: 4
- 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])
- j(j)int321 2 3 4 5 6 ... 288 289 290 291 292
- units :
- 1
- long_name :
- cell index along second dimension
array([ 1, 2, 3, ..., 290, 291, 292], dtype=int32)
- i(i)int321 2 3 4 5 6 ... 358 359 360 361 362
- units :
- 1
- long_name :
- cell index along first dimension
array([ 1, 2, 3, ..., 360, 361, 362], dtype=int32)
- lat(j, i)float32dask.array<chunksize=(292, 362), meta=np.ndarray>
- standard_name :
- latitude
- long_name :
- latitude coordinate
- units :
- degrees_north
- bounds :
- lat_vertices
Array Chunk Bytes 422.82 kB 422.82 kB Shape (292, 362) (292, 362) Count 75 Tasks 1 Chunks Type float32 numpy.ndarray - lon(j, i)float32dask.array<chunksize=(292, 362), meta=np.ndarray>
- standard_name :
- longitude
- long_name :
- longitude coordinate
- units :
- degrees_east
- bounds :
- lon_vertices
Array Chunk Bytes 422.82 kB 422.82 kB Shape (292, 362) (292, 362) Count 75 Tasks 1 Chunks Type float32 numpy.ndarray
- 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 - lat_vertices(time, j, i, vertices)float32dask.array<chunksize=(120, 292, 362, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 3.17 GB 202.95 MB Shape (1872, 292, 362, 4) (120, 292, 362, 4) Count 64 Tasks 16 Chunks Type float32 numpy.ndarray - lon_vertices(time, j, i, vertices)float32dask.array<chunksize=(120, 292, 362, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 3.17 GB 202.95 MB Shape (1872, 292, 362, 4) (120, 292, 362, 4) Count 64 Tasks 16 Chunks Type float32 numpy.ndarray - tauvo(time, j, i)float32dask.array<chunksize=(120, 292, 362), meta=np.ndarray>
- standard_name :
- surface_downward_y_stress
- long_name :
- Surface Downward Y Stress
- comment :
- This is the stress on the liquid ocean from overlying atmosphere, sea ice, ice shelf, etc.
- units :
- N m-2
- original_name :
- tauvo
- original_units :
- N/m2
- history :
- 2011-11-09T18:56:13Z altered by CMOR: Converted units from 'N/m2' to 'N m-2'.
- cell_methods :
- time: mean area: mean where sea
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CNRM-CM5_historical_r0i0p0.nc
Array Chunk Bytes 791.51 MB 50.74 MB Shape (1872, 292, 362) (120, 292, 362) 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 :
- r2ip
- branch_time :
- 36524.0
- 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 :
- 353e36fa-ae42-40df-b26c-da1916732672
- product :
- output
- experiment :
- historical
- frequency :
- mon
- creation_date :
- 2011-11-09T18:56:13Z
- history :
- 2011-11-09T18:56:13Z 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 :
- 2
- cmor_version :
- 2.7.1