IPSL-CM5A-MR 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/clw_Amon_IPSL-CM5A-MR_abrupt4xCO2_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	IPSL-CM5A-MR model output prepared for CMIP5 abrupt 4XCO2
location	/shared/cmip5/data/abrupt4xCO2/atmos/mon/Amon/clw/IPSL.IPSL-CM5A-MR/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clw_Amon_IPSL-CM5A-MR_abrupt4xCO2_r1i1p1.yaml
last updated	2013-05-23

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, lat: 143, lev: 39, lon: 144, time: 1680)
Coordinates:
  * time       (time) float64 15.5 45.0 74.5 ... 5.102e+04 5.105e+04 5.108e+04
  * lev        (lev) float64 0.9958 0.9863 0.9736 ... 0.0001571 4.251e-05
  * lat        (lat) float64 -90.0 -88.73 -87.46 -86.2 ... 86.2 87.46 88.73 90.0
  * lon        (lon) float64 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5
Dimensions without coordinates: bnds
Data variables:
    time_bnds  (time, bnds) float64 dask.array<chunksize=(600, 2), meta=np.ndarray>
    lev_bnds   (time, lev, bnds) float64 dask.array<chunksize=(600, 39, 2), meta=np.ndarray>
    ap         (time, lev) float64 dask.array<chunksize=(600, 39), meta=np.ndarray>
    b          (time, lev) float64 dask.array<chunksize=(600, 39), meta=np.ndarray>
    ps         (time, lat, lon) float32 dask.array<chunksize=(600, 143, 144), meta=np.ndarray>
    ap_bnds    (time, lev, bnds) float64 dask.array<chunksize=(600, 39, 2), meta=np.ndarray>
    b_bnds     (time, lev, bnds) float64 dask.array<chunksize=(600, 39, 2), meta=np.ndarray>
    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(600, 143, 2), meta=np.ndarray>
    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(600, 144, 2), meta=np.ndarray>
    clw        (time, lev, lat, lon) float32 dask.array<chunksize=(600, 39, 143, 144), meta=np.ndarray>
Attributes:
    institution:            IPSL (Institut Pierre Simon Laplace, Paris, France)
    institute_id:           IPSL
    experiment_id:          abrupt4xCO2
    source:                 IPSL-CM5A-MR (2010) : atmos : LMDZ4 (LMDZ4_v5, 14...
    model_id:               IPSL-CM5A-MR
    forcing:                GHG
    parent_experiment_id:   piControl
    parent_experiment_rip:  r1i1p1
    branch_time:            1850.0
    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:            d2d6873d-9731-4131-9890-5c908d0b2148
    product:                output
    experiment:             abrupt 4XCO2
    frequency:              mon
    creation_date:          2012-01-15T23:53:52Z
    history:                2012-01-15T23:53:52Z CMOR rewrote data to comply ...
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...
    title:                  IPSL-CM5A-MR model output prepared for CMIP5 abru...
    parent_experiment:      pre-industrial control
    modeling_realm:         atmos
    realization:            1
    cmor_version:           2.7.1

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 143
- lev: 39
- lon: 144
- time: 1680

Coordinates: (4)

time
(time)
float64
15.5 45.0 ... 5.105e+04 5.108e+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, ..., 5.10235e+04, 5.10540e+04,
       5.10845e+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 -88.73 -87.46 ... 88.73 90.0

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

array([-90.      , -88.732391, -87.46479 , -86.197182, -84.929581, -83.661972,
       -82.394363, -81.126762, -79.859154, -78.591553, -77.323944, -76.056335,
       -74.788734, -73.521126, -72.253525, -70.985916, -69.718307, -68.450706,
       -67.183098, -65.915489, -64.647888, -63.380283, -62.112675, -60.84507 ,
       -59.577465, -58.30986 , -57.042255, -55.774647, -54.507042, -53.239437,
       -51.971832, -50.704224, -49.436619, -48.169014, -46.901409, -45.633804,
       -44.366196, -43.098591, -41.830986, -40.563381, -39.295776, -38.028168,
       -36.760563, -35.492958, -34.225353, -32.957745, -31.690142, -30.422535,
       -29.15493 , -27.887323, -26.619719, -25.352112, -24.084507, -22.816902,
       -21.549295, -20.281691, -19.014084, -17.746479, -16.478872, -15.211267,
       -13.943662, -12.676056, -11.408451, -10.140845,  -8.87324 ,  -7.605634,
        -6.338028,  -5.070423,  -3.802817,  -2.535211,  -1.267606,   0.      ,
         1.267606,   2.535211,   3.802817,   5.070423,   6.338028,   7.605634,
         8.87324 ,  10.140845,  11.408451,  12.676056,  13.943662,  15.211267,
        16.478872,  17.746479,  19.014084,  20.281691,  21.549295,  22.816902,
        24.084507,  25.352112,  26.619719,  27.887323,  29.15493 ,  30.422535,
        31.690142,  32.957745,  34.225353,  35.492958,  36.760563,  38.028168,
        39.295776,  40.563381,  41.830986,  43.098591,  44.366196,  45.633804,
        46.901409,  48.169014,  49.436619,  50.704224,  51.971832,  53.239437,
        54.507042,  55.774647,  57.042255,  58.30986 ,  59.577465,  60.84507 ,
        62.112675,  63.380283,  64.647888,  65.915489,  67.183098,  68.450706,
        69.718307,  70.985916,  72.253525,  73.521126,  74.788734,  76.056335,
        77.323944,  78.591553,  79.859154,  81.126762,  82.394363,  83.661972,
        84.929581,  86.197182,  87.46479 ,  88.732391,  90.      ])

lon

(lon)

float64

0.0 2.5 5.0 ... 352.5 355.0 357.5

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

array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,
        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,
        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,
        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,
       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,
       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,
       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,
       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,
       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,
       350. , 352.5, 355. , 357.5])

Data variables: (10)

time_bnds

(time, bnds)

float64

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

	Array	Chunk
Bytes	26.88 kB	9.60 kB
Shape	(1680, 2)	(600, 2)
Count	9 Tasks	3 Chunks
Type	float64	numpy.ndarray

lev_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(600, 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	1.05 MB	374.40 kB
Shape	(1680, 39, 2)	(600, 39, 2)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

(time, lev)

float64

dask.array<chunksize=(600, 39), meta=np.ndarray>

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

	Array	Chunk
Bytes	524.16 kB	187.20 kB
Shape	(1680, 39)	(600, 39)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

(time, lev)

float64

dask.array<chunksize=(600, 39), meta=np.ndarray>

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

	Array	Chunk
Bytes	524.16 kB	187.20 kB
Shape	(1680, 39)	(600, 39)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

(time, lat, lon)

float32

dask.array<chunksize=(600, 143, 144), 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	138.38 MB	49.42 MB
Shape	(1680, 143, 144)	(600, 143, 144)
Count	9 Tasks	3 Chunks
Type	float32	numpy.ndarray

ap_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(600, 39, 2), meta=np.ndarray>

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

	Array	Chunk
Bytes	1.05 MB	374.40 kB
Shape	(1680, 39, 2)	(600, 39, 2)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

b_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(600, 39, 2), meta=np.ndarray>

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

	Array	Chunk
Bytes	1.05 MB	374.40 kB
Shape	(1680, 39, 2)	(600, 39, 2)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

dask.array<chunksize=(600, 143, 2), meta=np.ndarray>

	Array	Chunk
Bytes	3.84 MB	1.37 MB
Shape	(1680, 143, 2)	(600, 143, 2)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

dask.array<chunksize=(600, 144, 2), meta=np.ndarray>

	Array	Chunk
Bytes	3.87 MB	1.38 MB
Shape	(1680, 144, 2)	(600, 144, 2)
Count	12 Tasks	3 Chunks
Type	float64	numpy.ndarray

clw

(time, lev, lat, lon)

float32

dask.array<chunksize=(600, 39, 143, 144), meta=np.ndarray>

standard_name :: mass_fraction_of_cloud_liquid_water_in_air
long_name :: Mass Fraction of Cloud Liquid Water
comment :: Includes both large-scale and convective cloud. Calculate as the mass of cloud liquid water in the grid cell divided by the mass of air (including the water in all phases) in the grid cells. Precipitating hydrometeors are included ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.
units :: 1
original_name :: lwcon
original_units :: kg/kg
history :: 2012-01-15T23:53:33Z altered by CMOR: Converted units from 'kg/kg' to '1'. 2012-01-15T23:53:33Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20). 2012-01-15T23:53:52Z 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-MR_abrupt4xCO2_r0i0p0.nc areacella: areacella_fx_IPSL-CM5A-MR_abrupt4xCO2_r0i0p0.nc

	Array	Chunk
Bytes	5.40 GB	1.93 GB
Shape	(1680, 39, 143, 144)	(600, 39, 143, 144)
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-MR (2010) : atmos : LMDZ4 (LMDZ4_v5, 144x143x39); ocean : ORCA2 (NEMOV2_3, 2x2L31); seaIce : LIM2 (NEMOV2_3); ocnBgchem : PISCES (NEMOV2_3); land : ORCHIDEE (orchidee_1_9_4_AR5)
model_id :
IPSL-CM5A-MR
forcing :
GHG
parent_experiment_id :
piControl
parent_experiment_rip :
r1i1p1
branch_time :
1850.0
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 :
d2d6873d-9731-4131-9890-5c908d0b2148
product :
output
experiment :
abrupt 4XCO2
frequency :
mon
creation_date :
2012-01-15T23:53:52Z
history :
2012-01-15T23:53:52Z 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-MR model output prepared for CMIP5 abrupt 4XCO2
parent_experiment :
pre-industrial control
modeling_realm :
atmos
realization :
1
cmor_version :
2.7.1