CNRM-CM5 model output prepared for CMIP5 abrupt 4XCO2

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clwvi_Amon_CNRM-CM5_abrupt4xCO2_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	CNRM-CM5 model output prepared for CMIP5 abrupt 4XCO2
location	/shared/cmip5/data/abrupt4xCO2/atmos/mon/Amon/clwvi/CNRM-CERFACS.CNRM-CM5/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clwvi_Amon_CNRM-CM5_abrupt4xCO2_r1i1p1.yaml
last updated	2013-05-23

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, lat: 128, lon: 256, time: 1800)
Coordinates:
  * time       (time) float64 15.5 45.0 74.5 ... 5.471e+04 5.474e+04 5.477e+04
  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93
  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6
Dimensions without coordinates: bnds
Data variables:
    time_bnds  (time, bnds) float64 dask.array<chunksize=(600, 2), meta=np.ndarray>
    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(600, 128, 2), meta=np.ndarray>
    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(600, 256, 2), meta=np.ndarray>
    clwvi      (time, lat, lon) float32 dask.array<chunksize=(600, 128, 256), meta=np.ndarray>
Attributes:
    institution:            CNRM (Centre National de Recherches Meteorologiqu...
    institute_id:           CNRM-CERFACS
    experiment_id:          abrupt4xCO2
    source:                 CNRM-CM5 2010 Atmosphere: ARPEGE-Climat (V5.2.1, ...
    model_id:               CNRM-CM5
    forcing:                GHG (only CO2 abrupt quadrupling)
    parent_experiment_id:   piControl
    parent_experiment_rip:  r1i1p1
    branch_time:            0.0
    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:            a10f0873-5241-4480-815e-542bd46a1d21
    product:                output
    experiment:             abrupt 4XCO2
    frequency:              mon
    creation_date:          2011-03-31T16:05:00Z
    history:                2011-03-31T16:04:58Z CMOR rewrote data to comply ...
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...
    title:                  CNRM-CM5 model output prepared for CMIP5 abrupt 4...
    parent_experiment:      pre-industrial control
    modeling_realm:         atmos
    realization:            1
    cmor_version:           2.5.3

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 128
- lon: 256
- time: 1800

Coordinates: (3)

time
(time)
float64
15.5 45.0 ... 5.474e+04 5.477e+04
bounds :
time_bnds
units :
days since 1850-1-1
calendar :
gregorian
axis :
T
long_name :
time
standard_name :
time
```
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 5.47095e+04, 5.47400e+04,
       5.47705e+04])
```

lat

(lat)

float64

-88.93 -87.54 ... 87.54 88.93

bounds :: lat_bnds
units :: degrees_north
axis :: Y
long_name :: latitude
standard_name :: latitude

array([-88.927734, -87.538704, -86.141472, -84.742386, -83.342598, -81.942467,
       -80.542145, -79.141708, -77.741196, -76.34063 , -74.940025, -73.539391,
       -72.138733, -70.73806 , -69.337372, -67.936676, -66.535965, -65.135254,
       -63.734531, -62.333801, -60.933071, -59.532337, -58.131599, -56.730858,
       -55.330112, -53.929367, -52.528618, -51.127865, -49.727116, -48.326363,
       -46.925606, -45.524849, -44.124092, -42.723335, -41.322575, -39.921818,
       -38.521057, -37.120293, -35.719532, -34.318771, -32.918007, -31.517244,
       -30.11648 , -28.715715, -27.314951, -25.914186, -24.51342 , -23.112656,
       -21.711889, -20.311123, -18.910357, -17.50959 , -16.108824, -14.708057,
       -13.30729 , -11.906524, -10.505756,  -9.104989,  -7.704221,  -6.303454,
        -4.902687,  -3.501919,  -2.101151,  -0.700384,   0.700384,   2.101151,
         3.501919,   4.902687,   6.303454,   7.704221,   9.104989,  10.505756,
        11.906524,  13.30729 ,  14.708057,  16.108824,  17.50959 ,  18.910357,
        20.311123,  21.711889,  23.112656,  24.51342 ,  25.914186,  27.314951,
        28.715715,  30.11648 ,  31.517244,  32.918007,  34.318771,  35.719532,
        37.120293,  38.521057,  39.921818,  41.322575,  42.723335,  44.124092,
        45.524849,  46.925606,  48.326363,  49.727116,  51.127865,  52.528618,
        53.929367,  55.330112,  56.730858,  58.131599,  59.532337,  60.933071,
        62.333801,  63.734531,  65.135254,  66.535965,  67.936676,  69.337372,
        70.73806 ,  72.138733,  73.539391,  74.940025,  76.34063 ,  77.741196,
        79.141708,  80.542145,  81.942467,  83.342598,  84.742386,  86.141472,
        87.538704,  88.927734])

lon
(lon)
float64
0.0 1.406 2.812 ... 357.2 358.6
bounds :
lon_bnds
units :
degrees_east
axis :
X
long_name :
longitude
standard_name :
longitude
```
array([  0.     ,   1.40625,   2.8125 , ..., 355.78125, 357.1875 , 358.59375])
```

Data variables: (4)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(600, 2), meta=np.ndarray>

	Array	Chunk
Bytes	28.80 kB	9.60 kB
Shape	(1800, 2)	(600, 2)
Count	9 Tasks	3 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

dask.array<chunksize=(600, 128, 2), meta=np.ndarray>

	Array	Chunk
Bytes	3.69 MB	1.23 MB
Shape	(1800, 128, 2)	(600, 128, 2)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

dask.array<chunksize=(600, 256, 2), meta=np.ndarray>

	Array	Chunk
Bytes	7.37 MB	2.46 MB
Shape	(1800, 256, 2)	(600, 256, 2)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

clwvi

(time, lat, lon)

float32

dask.array<chunksize=(600, 128, 256), meta=np.ndarray>

standard_name :: atmosphere_cloud_condensed_water_content
long_name :: Condensed Water Path
comment :: mass of condensed (liquid + ice) water in the column divided by the area of the column (not just the area of the cloudy portion of the column). Includes precipitating hydrometeors ONLY if the precipitating hydrometeor affects the calculation of radiative transfer in model.
units :: kg m-2
original_name :: clwvi
cell_methods :: time: mean (interval: 24 hours)
cell_measures :: area: areacella
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CNRM-CM5_abrupt4xCO2_r0i0p0.nc areacella: areacella_fx_CNRM-CM5_abrupt4xCO2_r0i0p0.nc

	Array	Chunk
Bytes	235.93 MB	78.64 MB
Shape	(1800, 128, 256)	(600, 128, 256)
Count	9 Tasks	3 Chunks
Type	float32	numpy.ndarray

Attributes: (28)
institution :
CNRM (Centre National de Recherches Meteorologiques, Meteo-France, Toulouse,France) and CERFACS (Centre Europeen de Recherches et de Formation Avancee en Calcul Scientifique, Toulouse, France)
institute_id :
CNRM-CERFACS
experiment_id :
abrupt4xCO2
source :
CNRM-CM5 2010 Atmosphere: ARPEGE-Climat (V5.2.1, TL127L31); Ocean: NEMO (nemo3.3.v10.6.6P, ORCA1degL42); Sea Ice: GELATO (V5.30); River Routing: TRIP (v1); Land: SURFEX (v5.1.c); Coupler : OASIS 3
model_id :
CNRM-CM5
forcing :
GHG (only CO2 abrupt quadrupling)
parent_experiment_id :
piControl
parent_experiment_rip :
r1i1p1
branch_time :
0.0
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 /for decadal predictions : contact.CMIP5@cerfacs.fr - CERFACS, Climate Modelling And Global Change, URA CERFACS/CNRS No1875, 42 Av. Coriolis F-31057 TOULOUSE CEDEX 1
comment :
Soil layers depth scheme is specific for mrlsl and tsl - see variable-level comments. Atmosphere vertical hybrid coordinate : a_bnds and b_bnds arrays are correct, but a and b values provided are mid-sum of a_bnds and b_bnds, which is a poor approximation compared to the hydrostatic approximation actually used in the model.
references :
See http://www.cnrm.meteo.fr/cmip5 - Follow model description link
initialization_method :
1
physics_version :
1
tracking_id :
a10f0873-5241-4480-815e-542bd46a1d21
product :
output
experiment :
abrupt 4XCO2
frequency :
mon
creation_date :
2011-03-31T16:05:00Z
history :
2011-03-31T16:04:58Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5
title :
CNRM-CM5 model output prepared for CMIP5 abrupt 4XCO2
parent_experiment :
pre-industrial control
modeling_realm :
atmos
realization :
1
cmor_version :
2.5.3