MIROC5 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_MIROC5_piControl_r1i1p1.yaml") ds=cat.netcdf.read()

Metadata

title MIROC5 model output prepared for CMIP5 pre-industrial control
location /shared/cmip5/data/piControl/ocean/mon/Omon/thetao/MIROC.MIROC5/r1i1p1
tags gridded,global,model,monthly
catalog_dir https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/thetao_Omon_MIROC5_piControl_r1i1p1.yaml
last updated 2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:       (bnds: 2, lev: 50, rlat: 224, rlon: 256, time: 8040, vertices: 4)
Coordinates:
  * time          (time) float64 15.5 45.0 74.5 ... 2.445e+05 2.445e+05
  * lev           (lev) float64 1.25 3.75 7.5 ... 5.125e+03 5.375e+03 5.55e+03
  * rlat          (rlat) float64 -88.08 -85.91 -85.41 ... 85.41 85.91 88.08
  * rlon          (rlon) float64 -0.7031 0.7031 2.109 ... 355.1 356.5 357.9
    lat           (rlat, rlon) float32 dask.array<chunksize=(224, 256), meta=np.ndarray>
    lon           (rlat, rlon) float32 dask.array<chunksize=(224, 256), meta=np.ndarray>
Dimensions without coordinates: bnds, vertices
Data variables:
    time_bnds     (time, bnds) float64 dask.array<chunksize=(12, 2), meta=np.ndarray>
    lev_bnds      (time, lev, bnds) float64 dask.array<chunksize=(12, 50, 2), meta=np.ndarray>
    sigma         (time, lev) float64 dask.array<chunksize=(12, 50), meta=np.ndarray>
    eta           (time, rlat, rlon) float32 dask.array<chunksize=(12, 224, 256), meta=np.ndarray>
    depth         (time, rlat, rlon) float32 dask.array<chunksize=(12, 224, 256), meta=np.ndarray>
    depth_c       (time) float64 50.0 50.0 50.0 50.0 ... 50.0 50.0 50.0 50.0
    nsigma        (time) int32 8 8 8 8 8 8 8 8 8 8 8 8 ... 8 8 8 8 8 8 8 8 8 8 8
    zlev          (time, lev) float64 dask.array<chunksize=(12, 50), meta=np.ndarray>
    sigma_bnds    (time, lev, bnds) float64 dask.array<chunksize=(12, 50, 2), meta=np.ndarray>
    zlev_bnds     (time, lev, bnds) float64 dask.array<chunksize=(12, 50, 2), meta=np.ndarray>
    rlat_bnds     (time, rlat, bnds) float64 dask.array<chunksize=(12, 224, 2), meta=np.ndarray>
    rlon_bnds     (time, rlon, bnds) float64 dask.array<chunksize=(12, 256, 2), meta=np.ndarray>
    lat_vertices  (time, rlat, rlon, vertices) float32 dask.array<chunksize=(12, 224, 256, 4), meta=np.ndarray>
    lon_vertices  (time, rlat, rlon, vertices) float32 dask.array<chunksize=(12, 224, 256, 4), meta=np.ndarray>
    thetao        (time, lev, rlat, rlon) float32 dask.array<chunksize=(12, 50, 224, 256), meta=np.ndarray>
Attributes:
    institution:            AORI (Atmosphere and Ocean Research Institute, Th...
    institute_id:           MIROC
    experiment_id:          piControl
    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...
    model_id:               MIROC5
    forcing:                N/A
    parent_experiment_id:   N/A
    parent_experiment_rip:  N/A
    branch_time:            0.0
    contact:                Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seit...
    references:             Watanabe et al., 2010: Improved climate simulatio...
    initialization_method:  1
    physics_version:        1
    tracking_id:            c32b2772-dc17-4cc9-8877-4cfa7a2ac78d
    product:                output
    experiment:             pre-industrial control
    frequency:              mon
    creation_date:          2011-09-16T10:07:46Z
    history:                2011-09-16T10:07:46Z CMOR rewrote data to comply ...
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Omon (26 July 2011) 25bb94a0408beca44c0f5b6...
    title:                  MIROC5 model output prepared for CMIP5 pre-indust...
    parent_experiment:      N/A
    modeling_realm:         ocean
    realization:            1
    cmor_version:           2.7.1