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