CNRM-CM5 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/tos_day_CNRM-CM5_historical_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	CNRM-CM5 model output prepared for CMIP5 historical
location	/shared/cmip5/data/historical/ocean/day/day/tos/CNRM-CERFACS.CNRM-CM5/r1i1p1
tags	gridded,global,model,daily
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_day_CNRM-CM5_historical_r1i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:       (bnds: 2, i: 362, j: 292, time: 38716, vertices: 4)
Coordinates:
  * time          (time) float64 7.306e+03 7.306e+03 ... 1.315e+04 1.315e+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=(3652, 2), meta=np.ndarray>
    lat_vertices  (time, j, i, vertices) float32 dask.array<chunksize=(3652, 292, 362, 4), meta=np.ndarray>
    lon_vertices  (time, j, i, vertices) float32 dask.array<chunksize=(3652, 292, 362, 4), meta=np.ndarray>
    tos           (time, j, i) float32 dask.array<chunksize=(3652, 292, 362), meta=np.ndarray>
Attributes:
    institution:            CNRM (Centre National de Recherches Meteorologiqu...
    institute_id:           CNRM-CERFACS
    experiment_id:          historical
    source:                 CNRM-CM5 2010 Atmosphere: ARPEGE-Climat (V5.2.1, ...
    model_id:               CNRM-CM5
    forcing:                GHG, SA, Sl, Vl, BC, OC
    parent_experiment_id:   piControl
    parent_experiment_rip:  r1ip
    branch_time:            146097.0
    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:            0afbe64e-a92a-428e-9b8c-dc2785b23e68
    product:                output
    experiment:             historical
    frequency:              day
    creation_date:          2011-10-07T20:10:05Z
    history:                2011-10-07T20:10:05Z CMOR rewrote data to comply ...
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table day (26 July 2011) bab20a38048e324a2439233b...
    title:                  CNRM-CM5 model output prepared for CMIP5 historical
    parent_experiment:      pre-industrial control
    modeling_realm:         ocean
    realization:            1
    cmor_version:           2.7.1

xarray.Dataset

Dimensions:
- bnds: 2
- i: 362
- j: 292
- time: 38716
- vertices: 4

Coordinates: (5)

time
(time)
float64
7.306e+03 7.306e+03 ... 1.315e+04
bounds :
time_bnds
calendar :
gregorian
axis :
T
long_name :
time
standard_name :
time
```
array([ 7305.5,  7306.5,  7307.5, ..., 13146.5, 13147.5, 13148.5])
```
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	50 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	50 Tasks	1 Chunks
Type	float32	numpy.ndarray

Data variables: (4)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(3652, 2), meta=np.ndarray>

	Array	Chunk
Bytes	619.46 kB	58.45 kB
Shape	(38716, 2)	(3653, 2)
Count	33 Tasks	11 Chunks
Type	float64	numpy.ndarray

lat_vertices

(time, j, i, vertices)

float32

dask.array<chunksize=(3652, 292, 362, 4), meta=np.ndarray>

units :: degrees_north

	Array	Chunk
Bytes	65.48 GB	6.18 GB
Shape	(38716, 292, 362, 4)	(3653, 292, 362, 4)
Count	44 Tasks	11 Chunks
Type	float32	numpy.ndarray

lon_vertices

(time, j, i, vertices)

float32

dask.array<chunksize=(3652, 292, 362, 4), meta=np.ndarray>

units :: degrees_east

	Array	Chunk
Bytes	65.48 GB	6.18 GB
Shape	(38716, 292, 362, 4)	(3653, 292, 362, 4)
Count	44 Tasks	11 Chunks
Type	float32	numpy.ndarray

tos

(time, j, i)

float32

dask.array<chunksize=(3652, 292, 362), meta=np.ndarray>

standard_name :: surface_temperature
long_name :: Sea Surface Temperature
comment :: temperature of liquid ocean. Note that the correct standard_name for this variable is ""sea_surface_temperature"", not ""surface_temperature"", but this was discovered too late to correct. To maintain consistency across CMIP5 models, the wrong standard_name will continue to be used.
units :: K
original_name :: tos
original_units :: degC
history :: 2011-10-07T20:09:58Z 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_historical_r0i0p0.nc areacello: areacello_fx_CNRM-CM5_historical_r0i0p0.nc

	Array	Chunk
Bytes	16.37 GB	1.54 GB
Shape	(38716, 292, 362)	(3653, 292, 362)
Count	33 Tasks	11 Chunks
Type	float32	numpy.ndarray

Attributes: (28)
institution :
CNRM (Centre National de Recherches Meteorologiques, Meteo-France, Toulouse,&
institute_id :
CNRM-CERFACS
experiment_id :
historical
source :
CNRM-CM5 2010 Atmosphere: ARPEGE-Climat (V5.2.1, TL127L31); Ocean: &
model_id :
CNRM-CM5
forcing :
GHG, SA, Sl, Vl, BC, OC
parent_experiment_id :
piControl
parent_experiment_rip :
r1ip
branch_time :
146097.0
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 &
comment :
Soil layers depth scheme is specific for mrlsl and tsl - see variable-level comments. &
references :
See http://www.cnrm.meteo.fr/cmip5 - Follow model description link
initialization_method :
1
physics_version :
1
tracking_id :
0afbe64e-a92a-428e-9b8c-dc2785b23e68
product :
output
experiment :
historical
frequency :
day
creation_date :
2011-10-07T20:10:05Z
history :
2011-10-07T20:10:05Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table day (26 July 2011) bab20a38048e324a2439233bf9705df2
title :
CNRM-CM5 model output prepared for CMIP5 historical
parent_experiment :
pre-industrial control
modeling_realm :
ocean
realization :
1
cmor_version :
2.7.1