CNRM-CM5-2 model output prepared for CMIP5 pre-industrial control

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-CM5-2_piControl_r1i1p4.yaml") ds=cat.netcdf.read()

Metadata

title CNRM-CM5-2 model output prepared for CMIP5 pre-industrial control
location /shared/cmip5/data/piControl/ocean/mon/Omon/thetao/CNRM-CERFACS.CNRM-CM5-2/r1i1p4
tags gridded,global,model,monthly
catalog_dir https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/thetao_Omon_CNRM-CM5-2_piControl_r1i1p4.yaml
last updated 2015-01-16

Dataset Contents

<xarray.Dataset>
Dimensions:       (bnds: 2, i: 362, j: 292, lev: 42, time: 840, vertices: 4)
Coordinates:
  * time          (time) float64 15.5 45.0 74.5 ... 2.552e+04 2.555e+04
  * lev           (lev) float64 5.022 15.08 25.16 ... 5.051e+03 5.35e+03
  * 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>
    lev_bnds      (time, lev, bnds) float64 dask.array<chunksize=(120, 42, 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>
    thetao        (time, lev, j, i) float32 dask.array<chunksize=(120, 42, 292, 362), meta=np.ndarray>
Attributes:
    institution:            CNRM (Centre National de Recherches Meteorologiqu...
    institute_id:           CNRM-CERFACS
    experiment_id:          piControl
    source:                 CNRM-CM5-2 2010 Atmosphere: ARPEGE-Climat (V5.2.3...
    model_id:               CNRM-CM5-2
    forcing:                N/A
    parent_experiment_id:   N/A
    parent_experiment_rip:  r1i1p4
    branch_time:            0.0
    contact:                contact.CMIP5@meteo.fr - METEO-FRANCE, CNRM/GMGEC...
    comment:                Soil layers depth scheme is specific for mrlsl an...
    references:             This is an updated version of the model used for ...
    initialization_method:  1
    physics_version:        4
    tracking_id:            5d927e31-f9e2-4992-bed5-cd8e0e440da2
    product:                output
    experiment:             pre-industrial control
    frequency:              mon
    creation_date:          2013-03-20T10:46:33Z
    history:                2013-03-20T10:46:33Z CMOR rewrote data to comply ...
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Omon (26 July 2011) e26ed05e72b60ab734809dc...
    title:                  CNRM-CM5-2 model output prepared for CMIP5 pre-in...
    parent_experiment:      N/A
    modeling_realm:         ocean
    realization:            1
    cmor_version:           2.7.1