IPSL-CM5A-LR model output prepared for CMIP5 AMIP

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tran_Lmon_IPSL-CM5A-LR_amip_r2i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	IPSL-CM5A-LR model output prepared for CMIP5 AMIP
location	/shared/cmip5/data/amip/land/mon/Lmon/tran/IPSL.IPSL-CM5A-LR/r2i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tran_Lmon_IPSL-CM5A-LR_amip_r2i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, lat: 96, lon: 96, time: 372)
Coordinates:
  * time       (time) float64 15.5 45.0 74.5 ... 1.124e+04 1.127e+04 1.13e+04
  * 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=(120, 2), meta=np.ndarray>
    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(120, 96, 2), meta=np.ndarray>
    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(120, 96, 2), meta=np.ndarray>
    tran       (time, lat, lon) float32 dask.array<chunksize=(120, 96, 96), meta=np.ndarray>
Attributes:
    institution:            IPSL (Institut Pierre Simon Laplace, Paris, France)
    institute_id:           IPSL
    experiment_id:          amip
    source:                 IPSL-CM5A-LR (2010) : atmos : LMDZ4 (LMDZ4_v5, 96...
    model_id:               IPSL-CM5A-LR
    forcing:                Nat,Ant,GHG,SA,Oz,LU,SS,Ds,BC,MD,OC,AA
    parent_experiment_id:   N/A
    parent_experiment_rip:  N/A
    branch_time:            0.0
    contact:                ipsl-cmip5 _at_ ipsl.jussieu.fr Data manager : Se...
    comment:                This atmospheric only simulation include natural ...
    references:             Model documentation and further reference availab...
    initialization_method:  1
    physics_version:        1
    tracking_id:            bd277de4-ee7c-4165-b89a-740e9b02bacc
    product:                output
    experiment:             AMIP
    frequency:              mon
    creation_date:          2011-03-18T03:30:07Z
    history:                2011-03-18T03:30:07Z CMOR rewrote data to comply ...
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Lmon (31 January 2011) a84ae296f75bb85ff616...
    title:                  IPSL-CM5A-LR model output prepared for CMIP5 AMIP
    parent_experiment:      N/A
    modeling_realm:         land
    realization:            2
    cmor_version:           2.5.1

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 96
- lon: 96
- time: 372

Coordinates: (3)

time
(time)
float64
15.5 45.0 ... 1.127e+04 1.13e+04
bounds :
time_bnds
units :
days since 1979-01-01 00:00:00
calendar :
noleap
axis :
T
long_name :
time
standard_name :
time
```
array([   15.5,    45. ,    74.5, ..., 11238.5, 11269. , 11299.5])
```

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: (4)

time_bnds

(time, bnds)

float64

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

	Array	Chunk
Bytes	5.95 kB	1.92 kB
Shape	(372, 2)	(120, 2)
Count	12 Tasks	4 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

dask.array<chunksize=(120, 96, 2), meta=np.ndarray>

	Array	Chunk
Bytes	571.39 kB	184.32 kB
Shape	(372, 96, 2)	(120, 96, 2)
Count	16 Tasks	4 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

dask.array<chunksize=(120, 96, 2), meta=np.ndarray>

	Array	Chunk
Bytes	571.39 kB	184.32 kB
Shape	(372, 96, 2)	(120, 96, 2)
Count	16 Tasks	4 Chunks
Type	float64	numpy.ndarray

tran

(time, lat, lon)

float32

dask.array<chunksize=(120, 96, 96), meta=np.ndarray>

standard_name :: transpiration_flux
long_name :: Transpiration
units :: kg m-2 s-1
original_name :: tran
cell_methods :: time: mean (interval: 30 minutes) area: mean where land
cell_measures :: area: areacella
history :: 2011-03-18T03:30:07Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2011-03-18T03:30:07Z altered by CMOR: Inverted axis: lat.
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_land_fx_IPSL-CM5A-LR_amip_r0i0p0.nc areacella: areacella_fx_IPSL-CM5A-LR_amip_r0i0p0.nc

	Array	Chunk
Bytes	13.71 MB	4.42 MB
Shape	(372, 96, 96)	(120, 96, 96)
Count	12 Tasks	4 Chunks
Type	float32	numpy.ndarray

Attributes: (28)
institution :
IPSL (Institut Pierre Simon Laplace, Paris, France)
institute_id :
IPSL
experiment_id :
amip
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 :
Nat,Ant,GHG,SA,Oz,LU,SS,Ds,BC,MD,OC,AA
parent_experiment_id :
N/A
parent_experiment_rip :
N/A
branch_time :
0.0
contact :
ipsl-cmip5 _at_ ipsl.jussieu.fr Data manager : Sebastien Denvil
comment :
This atmospheric only simulation include natural and anthropogenic forcings.
references :
Model documentation and further reference available here : http://icmc.ipsl.fr
initialization_method :
1
physics_version :
1
tracking_id :
bd277de4-ee7c-4165-b89a-740e9b02bacc
product :
output
experiment :
AMIP
frequency :
mon
creation_date :
2011-03-18T03:30:07Z
history :
2011-03-18T03:30:07Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table Lmon (31 January 2011) a84ae296f75bb85ff61668fac8fcf090
title :
IPSL-CM5A-LR model output prepared for CMIP5 AMIP
parent_experiment :
N/A
modeling_realm :
land
realization :
2
cmor_version :
2.5.1