bcc-csm1-1-m 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/hus_Amon_bcc-csm1-1-m_historical_r2i1p1.yaml") ds=cat.netcdf.read()

Metadata

title bcc-csm1-1-m model output prepared for CMIP5 historical
location /shared/cmip5/data/historical/atmos/mon/Amon/hus/BCC.bcc-csm1-1-m/r2i1p1
tags gridded,global,model,monthly
catalog_dir https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/hus_Amon_bcc-csm1-1-m_historical_r2i1p1.yaml
last updated 2017-07-11

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, lat: 160, lon: 320, plev: 17, time: 1956)
Coordinates:
  * time       (time) float64 15.5 45.0 74.5 ... 4.668e+03 4.699e+03 4.73e+03
  * plev       (plev) float64 1e+05 9.25e+04 8.5e+04 7e+04 ... 3e+03 2e+03 1e+03
  * lat        (lat) float64 -89.14 -88.03 -86.91 -85.79 ... 86.91 88.03 89.14
  * lon        (lon) float64 0.0 1.125 2.25 3.375 ... 355.5 356.6 357.8 358.9
Dimensions without coordinates: bnds
Data variables:
    time_bnds  (time, bnds) float64 dask.array<chunksize=(360, 2), meta=np.ndarray>
    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(360, 160, 2), meta=np.ndarray>
    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(360, 320, 2), meta=np.ndarray>
    hus        (time, plev, lat, lon) float32 dask.array<chunksize=(360, 17, 160, 320), meta=np.ndarray>
Attributes:
    institution:            Beijing Climate Center(BCC),China Meteorological ...
    institute_id:           BCC
    experiment_id:          historical
    source:                 bcc-csm1-1-m:atmosphere:  BCC_AGCM2.2 (T106L26); ...
    model_id:               bcc-csm1-1-m
    forcing:                Nat Ant GHG SD Oz Sl Vl SS Ds BC OC
    parent_experiment_id:   piControl
    parent_experiment_rip:  r1i1p1
    branch_time:            270.0
    contact:                Dr. Tongwen Wu (twwu@cma.gov.cn)
    history:                Output from monthly mean data 2012-03-12T02:28:35...
    comment:                The main difference between BCC-CSM1-1-M and BCC-...
    initialization_method:  1
    physics_version:        1
    tracking_id:            06345589-3c72-4691-8605-4fe2e2bb95f5
    product:                output
    experiment:             historical
    frequency:              mon
    creation_date:          2012-03-12T02:28:40Z
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Amon (11 April 2011) 1cfdc7322cf2f4a3261482...
    title:                  bcc-csm1-1-m model output prepared for CMIP5 hist...
    parent_experiment:      pre-industrial control
    modeling_realm:         atmos
    realization:            2
    cmor_version:           2.5.6