IPSL-CM5A-LR 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/cl_Amon_IPSL-CM5A-LR_abrupt4xCO2_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	IPSL-CM5A-LR model output prepared for CMIP5 abrupt 4XCO2
location	/shared/cmip5/data/abrupt4xCO2/atmos/mon/Amon/cl/IPSL.IPSL-CM5A-LR/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/cl_Amon_IPSL-CM5A-LR_abrupt4xCO2_r1i1p1.yaml
last updated	2013-05-23

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, lat: 96, lev: 39, lon: 96, time: 3120)
Coordinates:
  * time       (time) float64 15.5 45.0 74.5 ... 9.482e+04 9.485e+04 9.488e+04
  * lev        (lev) float64 0.9958 0.9863 0.9736 ... 0.0001571 4.251e-05
  * lat        (lat) float64 -90.0 -88.11 -86.21 -84.32 ... 86.21 88.11 90.0
  * lon        (lon) float64 0.0 3.75 7.5 11.25 15.0 ... 345.0 348.8 352.5 356.2
Dimensions without coordinates: bnds
Data variables:
    time_bnds  (time, bnds) float64 dask.array<chunksize=(1200, 2), meta=np.ndarray>
    lev_bnds   (time, lev, bnds) float64 dask.array<chunksize=(1200, 39, 2), meta=np.ndarray>
    ap         (time, lev) float64 dask.array<chunksize=(1200, 39), meta=np.ndarray>
    b          (time, lev) float64 dask.array<chunksize=(1200, 39), meta=np.ndarray>
    ps         (time, lat, lon) float32 dask.array<chunksize=(1200, 96, 96), meta=np.ndarray>
    ap_bnds    (time, lev, bnds) float64 dask.array<chunksize=(1200, 39, 2), meta=np.ndarray>
    b_bnds     (time, lev, bnds) float64 dask.array<chunksize=(1200, 39, 2), meta=np.ndarray>
    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(1200, 96, 2), meta=np.ndarray>
    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(1200, 96, 2), meta=np.ndarray>
    cl         (time, lev, lat, lon) float32 dask.array<chunksize=(1200, 39, 96, 96), meta=np.ndarray>
Attributes:
    institution:            IPSL (Institut Pierre Simon Laplace, Paris, France)
    institute_id:           IPSL
    experiment_id:          abrupt4xCO2
    source:                 IPSL-CM5A-LR (2010) : atmos : LMDZ4 (LMDZ4_v5, 96...
    model_id:               IPSL-CM5A-LR
    forcing:                GHG
    parent_experiment_id:   piControl
    parent_experiment_rip:  r1i1p1
    branch_time:            185001.0
    contact:                ipsl-cmip5 _at_ ipsl.jussieu.fr Data manager : Se...
    comment:                This abrupt4xCO2 simulation was initiated from a ...
    references:             Model documentation and further reference availab...
    initialization_method:  1
    physics_version:        1
    tracking_id:            11d4f20c-2804-4ace-ae3e-0a4225af57e9
    product:                output
    experiment:             abrupt 4XCO2
    frequency:              mon
    creation_date:          2011-06-03T13:26:29Z
    history:                2011-06-03T13:26:29Z CMOR rewrote data to comply ...
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...
    title:                  IPSL-CM5A-LR model output prepared for CMIP5 abru...
    parent_experiment:      pre-industrial control
    modeling_realm:         atmos
    realization:            1
    cmor_version:           2.5.1

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 96
- lev: 39
- lon: 96
- time: 3120

Coordinates: (4)

time
(time)
float64
15.5 45.0 ... 9.485e+04 9.488e+04
bounds :
time_bnds
units :
days since 1850-01-01 00:00:00
calendar :
noleap
axis :
T
long_name :
time
standard_name :
time
```
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 9.48235e+04, 9.48540e+04,
       9.48845e+04])
```

lev

(lev)

float64

0.9958 0.9863 ... 4.251e-05

bounds :: lev_bnds
units :: 1
axis :: Z
positive :: down
long_name :: hybrid sigma pressure coordinate
standard_name :: atmosphere_hybrid_sigma_pressure_coordinate
formula :: p = ap + b*ps
formula_terms :: ap: ap b: b ps: ps

array([9.957716e-01, 9.862627e-01, 9.736140e-01, 9.558820e-01, 9.313989e-01,
       8.988125e-01, 8.571400e-01, 8.058494e-01, 7.449900e-01, 6.753821e-01,
       5.988512e-01, 5.184424e-01, 4.384500e-01, 3.639867e-01, 2.998238e-01,
       2.486269e-01, 2.096053e-01, 1.791188e-01, 1.532737e-01, 1.299950e-01,
       1.088261e-01, 8.982668e-02, 7.305642e-02, 5.850303e-02, 4.608948e-02,
       3.568636e-02, 2.712528e-02, 2.021213e-02, 1.473953e-02, 1.049771e-02,
       7.283558e-03, 4.907410e-03, 3.197900e-03, 2.004757e-03, 1.199952e-03,
       6.774612e-04, 3.520031e-04, 1.570627e-04, 4.250516e-05])

lat

(lat)

float64

-90.0 -88.11 -86.21 ... 88.11 90.0

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

array([-90.      , -88.105263, -86.210526, -84.315788, -82.421051, -80.526314,
       -78.631577, -76.736839, -74.842102, -72.947365, -71.052635, -69.157898,
       -67.263161, -65.368423, -63.473682, -61.578949, -59.684212, -57.789474,
       -55.894737, -54.      , -52.105263, -50.210526, -48.315788, -46.421051,
       -44.526318, -42.63158 , -40.736843, -38.842106, -36.947369, -35.052631,
       -33.157894, -31.263159, -29.368422, -27.473684, -25.578947, -23.68421 ,
       -21.789474, -19.894737, -18.      , -16.105263, -14.210526, -12.315789,
       -10.421053,  -8.526316,  -6.631579,  -4.736842,  -2.842105,  -0.947368,
         0.947368,   2.842105,   4.736842,   6.631579,   8.526316,  10.421053,
        12.315789,  14.210526,  16.105263,  18.      ,  19.894737,  21.789474,
        23.68421 ,  25.578947,  27.473684,  29.368422,  31.263159,  33.157894,
        35.052631,  36.947369,  38.842106,  40.736843,  42.63158 ,  44.526318,
        46.421051,  48.315788,  50.210526,  52.105263,  54.      ,  55.894737,
        57.789474,  59.684212,  61.578949,  63.473682,  65.368423,  67.263161,
        69.157898,  71.052635,  72.947365,  74.842102,  76.736839,  78.631577,
        80.526314,  82.421051,  84.315788,  86.210526,  88.105263,  90.      ])

lon

(lon)

float64

0.0 3.75 7.5 ... 348.8 352.5 356.2

bounds :: lon_bnds
units :: degrees_east
axis :: X
long_name :: longitude
standard_name :: longitude

array([  0.  ,   3.75,   7.5 ,  11.25,  15.  ,  18.75,  22.5 ,  26.25,  30.  ,
        33.75,  37.5 ,  41.25,  45.  ,  48.75,  52.5 ,  56.25,  60.  ,  63.75,
        67.5 ,  71.25,  75.  ,  78.75,  82.5 ,  86.25,  90.  ,  93.75,  97.5 ,
       101.25, 105.  , 108.75, 112.5 , 116.25, 120.  , 123.75, 127.5 , 131.25,
       135.  , 138.75, 142.5 , 146.25, 150.  , 153.75, 157.5 , 161.25, 165.  ,
       168.75, 172.5 , 176.25, 180.  , 183.75, 187.5 , 191.25, 195.  , 198.75,
       202.5 , 206.25, 210.  , 213.75, 217.5 , 221.25, 225.  , 228.75, 232.5 ,
       236.25, 240.  , 243.75, 247.5 , 251.25, 255.  , 258.75, 262.5 , 266.25,
       270.  , 273.75, 277.5 , 281.25, 285.  , 288.75, 292.5 , 296.25, 300.  ,
       303.75, 307.5 , 311.25, 315.  , 318.75, 322.5 , 326.25, 330.  , 333.75,
       337.5 , 341.25, 345.  , 348.75, 352.5 , 356.25])

Data variables: (10)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(1200, 2), meta=np.ndarray>

	Array	Chunk
Bytes	49.92 kB	19.20 kB
Shape	(3120, 2)	(1200, 2)
Count	9 Tasks	3 Chunks
Type	float64	numpy.ndarray

lev_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(1200, 39, 2), meta=np.ndarray>

formula :: p = ap + b*ps
standard_name :: atmosphere_hybrid_sigma_pressure_coordinate
units :: 1
formula_terms :: ap: ap_bnds b: b_bnds ps: ps

	Array	Chunk
Bytes	1.95 MB	748.80 kB
Shape	(3120, 39, 2)	(1200, 39, 2)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

(time, lev)

float64

dask.array<chunksize=(1200, 39), meta=np.ndarray>

long_name :: vertical coordinate formula term: ap(k)
units :: Pa

	Array	Chunk
Bytes	973.44 kB	374.40 kB
Shape	(3120, 39)	(1200, 39)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

(time, lev)

float64

dask.array<chunksize=(1200, 39), meta=np.ndarray>

long_name :: vertical coordinate formula term: b(k)

	Array	Chunk
Bytes	973.44 kB	374.40 kB
Shape	(3120, 39)	(1200, 39)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

(time, lat, lon)

float32

dask.array<chunksize=(1200, 96, 96), meta=np.ndarray>

standard_name :: surface_air_pressure
long_name :: Surface Air Pressure
comment :: not, in general, the same as mean sea-level pressure
units :: Pa
cell_methods :: time: mean
cell_measures :: area: areacella

	Array	Chunk
Bytes	115.02 MB	44.24 MB
Shape	(3120, 96, 96)	(1200, 96, 96)
Count	9 Tasks	3 Chunks
Type	float32	numpy.ndarray

ap_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(1200, 39, 2), meta=np.ndarray>

long_name :: vertical coordinate formula term: ap(k+1/2)
units :: Pa

	Array	Chunk
Bytes	1.95 MB	748.80 kB
Shape	(3120, 39, 2)	(1200, 39, 2)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

b_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(1200, 39, 2), meta=np.ndarray>

long_name :: vertical coordinate formula term: b(k+1/2)

	Array	Chunk
Bytes	1.95 MB	748.80 kB
Shape	(3120, 39, 2)	(1200, 39, 2)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

dask.array<chunksize=(1200, 96, 2), meta=np.ndarray>

	Array	Chunk
Bytes	4.79 MB	1.84 MB
Shape	(3120, 96, 2)	(1200, 96, 2)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

dask.array<chunksize=(1200, 96, 2), meta=np.ndarray>

	Array	Chunk
Bytes	4.79 MB	1.84 MB
Shape	(3120, 96, 2)	(1200, 96, 2)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

(time, lev, lat, lon)

float32

dask.array<chunksize=(1200, 39, 96, 96), meta=np.ndarray>

standard_name :: cloud_area_fraction_in_atmosphere_layer
long_name :: Cloud Area Fraction
comment :: Includes both large-scale and convective cloud.
units :: %
original_name :: rneb
original_units :: 1
history :: 2011-06-03T13:26:14Z altered by CMOR: Converted units from '1' to '%'. 2011-06-03T13:26:14Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2011-06-03T13:26:29Z altered by CMOR: Inverted axis: lat.
cell_methods :: time: mean (interval: 30 minutes)
cell_measures :: area: areacella
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_IPSL-CM5A-LR_abrupt4xCO2_r0i0p0.nc areacella: areacella_fx_IPSL-CM5A-LR_abrupt4xCO2_r0i0p0.nc

	Array	Chunk
Bytes	4.49 GB	1.73 GB
Shape	(3120, 39, 96, 96)	(1200, 39, 96, 96)
Count	9 Tasks	3 Chunks
Type	float32	numpy.ndarray

Attributes: (28)
institution :
IPSL (Institut Pierre Simon Laplace, Paris, France)
institute_id :
IPSL
experiment_id :
abrupt4xCO2
source :
IPSL-CM5A-LR (2010) : atmos : LMDZ4 (LMDZ4_v5, 96x95x39); ocean : ORCA2 (NEMOV2_3, 2x2L31); seaIce : LIM2 (NEMOV2_3); ocnBgchem : PISCES (NEMOV2_3); land : ORCHIDEE (orchidee_1_9_4_AR5)
model_id :
IPSL-CM5A-LR
forcing :
GHG
parent_experiment_id :
piControl
parent_experiment_rip :
r1i1p1
branch_time :
185001.0
contact :
ipsl-cmip5 _at_ ipsl.jussieu.fr Data manager : Sebastien Denvil
comment :
This abrupt4xCO2 simulation was initiated from a preindustrial control simulation when equilibrium was reached.
references :
Model documentation and further reference available here : http://icmc.ipsl.fr
initialization_method :
1
physics_version :
1
tracking_id :
11d4f20c-2804-4ace-ae3e-0a4225af57e9
product :
output
experiment :
abrupt 4XCO2
frequency :
mon
creation_date :
2011-06-03T13:26:29Z
history :
2011-06-03T13:26:29Z 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 :
IPSL-CM5A-LR model output prepared for CMIP5 abrupt 4XCO2
parent_experiment :
pre-industrial control
modeling_realm :
atmos
realization :
1
cmor_version :
2.5.1