CNRM-CM5 model output prepared for CMIP5 10- or 30-year run initialized in year 2005

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_Omon_CNRM-CM5_decadal2005_r7i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	CNRM-CM5 model output prepared for CMIP5 10- or 30-year run initialized in year 2005
location	/shared/cmip5/data/decadal2005/ocean/mon/Omon/tos/CNRM-CERFACS.CNRM-CM5/r7i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_Omon_CNRM-CM5_decadal2005_r7i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:       (bnds: 2, i: 362, j: 292, time: 360, vertices: 4)
Coordinates:
  * time          (time) float64 15.5 45.0 74.5 ... 1.091e+04 1.094e+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>
    tos           (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:          decadal2005
    source:                 CNRM-CM5 2010 Atmosphere: ARPEGE-Climat (V5.2.1, ...
    model_id:               CNRM-CM5
    forcing:                GHG, SA, Sl, Vl, BC, OC, Ds, SS
    parent_experiment_id:   N/A
    parent_experiment_rip:  N/A
    branch_time:            0.0
    contact:                for all but decadal predictions : contact.CMIP5@m...
    references:             See http://www.cnrm.meteo.fr/cmip5 - Follow model...
    initialization_method:  1
    physics_version:        1
    tracking_id:            98184f49-00ce-4e13-a6d6-b8a605b0a981
    product:                output
    experiment:             10- or 30-year run initialized in year 2005
    frequency:              mon
    creation_date:          2011-05-13T14:58:39Z
    history:                 2011-05-13T14:58:39Z altered by CMOR: Converted ...
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Omon (27 April 2011) 340eddd4fd838d90fa9ffe...
    title:                  CNRM-CM5 model output prepared for CMIP5 10- or 3...
    parent_experiment:      N/A
    modeling_realm:         ocean
    realization:            7
    cmor_version:           2.5.9

xarray.Dataset

Dimensions:
- bnds: 2
- i: 362
- j: 292
- time: 360
- vertices: 4

Coordinates: (5)

time
(time)
float64
15.5 45.0 ... 1.091e+04 1.094e+04
bounds :
time_bnds
units :
days since 2006-01-01 00:00:00
calendar :
gregorian
axis :
T
long_name :
time
standard_name :
time
```
array([   15.5,    45. ,    74.5, ..., 10880.5, 10911. , 10941.5])
```
j
(j)
int32
1 2 3 4 5 6 ... 288 289 290 291 292
units :
1
long_name :
cell index along second dimension
```
array([  1,   2,   3, ..., 290, 291, 292], dtype=int32)
```
i
(i)
int32
1 2 3 4 5 6 ... 358 359 360 361 362
units :
1
long_name :
cell index along first dimension
```
array([  1,   2,   3, ..., 360, 361, 362], dtype=int32)
```

lat

(j, i)

float32

dask.array<chunksize=(292, 362), meta=np.ndarray>

standard_name :: latitude
long_name :: latitude coordinate
units :: degrees_north
bounds :: lat_vertices

	Array	Chunk
Bytes	422.82 kB	422.82 kB
Shape	(292, 362)	(292, 362)
Count	10 Tasks	1 Chunks
Type	float32	numpy.ndarray

lon

(j, i)

float32

dask.array<chunksize=(292, 362), meta=np.ndarray>

standard_name :: longitude
long_name :: longitude coordinate
units :: degrees_east
bounds :: lon_vertices

	Array	Chunk
Bytes	422.82 kB	422.82 kB
Shape	(292, 362)	(292, 362)
Count	10 Tasks	1 Chunks
Type	float32	numpy.ndarray

Data variables: (4)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(120, 2), meta=np.ndarray>

	Array	Chunk
Bytes	5.76 kB	1.92 kB
Shape	(360, 2)	(120, 2)
Count	9 Tasks	3 Chunks
Type	float64	numpy.ndarray

lat_vertices

(time, j, i, vertices)

float32

dask.array<chunksize=(120, 292, 362, 4), meta=np.ndarray>

units :: degrees_north

	Array	Chunk
Bytes	608.86 MB	202.95 MB
Shape	(360, 292, 362, 4)	(120, 292, 362, 4)
Count	12 Tasks	3 Chunks
Type	float32	numpy.ndarray

lon_vertices

(time, j, i, vertices)

float32

dask.array<chunksize=(120, 292, 362, 4), meta=np.ndarray>

units :: degrees_east

	Array	Chunk
Bytes	608.86 MB	202.95 MB
Shape	(360, 292, 362, 4)	(120, 292, 362, 4)
Count	12 Tasks	3 Chunks
Type	float32	numpy.ndarray

tos

(time, j, i)

float32

dask.array<chunksize=(120, 292, 362), meta=np.ndarray>

standard_name :: sea_surface_temperature
long_name :: Sea Surface Temperature
comment :: "this may differ from ""surface temperature"" in regions of sea ice."
units :: K
original_name :: tos
original_units :: degC
history :: 2011-05-13T14:58:39Z altered by CMOR: Converted units from 'degC' to 'K'.
cell_methods :: time: mean
cell_measures :: area: areacello
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CNRM-CM5_decadal2005_r0i0p0.nc areacello: areacello_fx_CNRM-CM5_decadal2005_r0i0p0.nc

	Array	Chunk
Bytes	152.21 MB	50.74 MB
Shape	(360, 292, 362)	(120, 292, 362)
Count	9 Tasks	3 Chunks
Type	float32	numpy.ndarray

Attributes: (27)
institution :
CNRM (Centre National de Recherches Meteorologiques, Meteo-France, Toulouse, France) and CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse, France)
institute_id :
CNRM-CERFACS
experiment_id :
decadal2005
source :
CNRM-CM5 2010 Atmosphere: ARPEGE-Climat (V5.2.1, TL127L31); Ocean: NEMO (V3.2, ORCA1degL42); Sea Ice: GELATO (V5.30); River Routing: TRIP (V1); Land: SURFEX (V5.1.c); Coupler : OASIS (V3)
model_id :
CNRM-CM5
forcing :
GHG, SA, Sl, Vl, BC, OC, Ds, SS
parent_experiment_id :
N/A
parent_experiment_rip :
N/A
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
references :
See http://www.cnrm.meteo.fr/cmip5 - Follow model description link
initialization_method :
1
physics_version :
1
tracking_id :
98184f49-00ce-4e13-a6d6-b8a605b0a981
product :
output
experiment :
10- or 30-year run initialized in year 2005
frequency :
mon
creation_date :
2011-05-13T14:58:39Z
history :
2011-05-13T14:58:39Z altered by CMOR: Converted units from 'degC' to 'K'. 2011-05-13T14:58:39Z CMOR rewrote data to comply with CF standards and CMIP5 requirements. 2011-08-12T21:21:32Z Fixed lat_bounds and lon_bounds.
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table Omon (27 April 2011) 340eddd4fd838d90fa9ffe1345ecbd73
title :
CNRM-CM5 model output prepared for CMIP5 10- or 30-year run initialized in year 2005
parent_experiment :
N/A
modeling_realm :
ocean
realization :
7
cmor_version :
2.5.9