NorESM1-M 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/cli_Amon_NorESM1-M_abrupt4xCO2_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	NorESM1-M model output prepared for CMIP5 abrupt 4XCO2
location	/shared/cmip5/data/abrupt4xCO2/atmos/mon/Amon/cli/NCC.NorESM1-M/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/cli_Amon_NorESM1-M_abrupt4xCO2_r1i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, lat: 96, lev: 26, lon: 144, time: 1800)
Coordinates:
  * time       (time) float64 15.5 45.0 74.5 ... 5.467e+04 5.47e+04 5.473e+04
  * lev        (lev) float64 0.9926 0.9706 0.9296 ... 0.01397 0.007389 0.003545
  * lat        (lat) float64 -90.0 -88.11 -86.21 -84.32 ... 86.21 88.11 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=(1200, 2), meta=np.ndarray>
    lev_bnds   (time, lev, bnds) float64 dask.array<chunksize=(1200, 26, 2), meta=np.ndarray>
    p0         (time) float32 100000.0 100000.0 100000.0 ... 100000.0 100000.0
    a          (time, lev) float64 dask.array<chunksize=(1200, 26), meta=np.ndarray>
    b          (time, lev) float64 dask.array<chunksize=(1200, 26), meta=np.ndarray>
    ps         (time, lat, lon) float32 dask.array<chunksize=(1200, 96, 144), meta=np.ndarray>
    a_bnds     (time, lev, bnds) float64 dask.array<chunksize=(1200, 26, 2), meta=np.ndarray>
    b_bnds     (time, lev, bnds) float64 dask.array<chunksize=(1200, 26, 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, 144, 2), meta=np.ndarray>
    cli        (time, lev, lat, lon) float32 dask.array<chunksize=(1200, 26, 96, 144), meta=np.ndarray>
Attributes:
    institution:            Norwegian Climate Centre
    institute_id:           NCC
    experiment_id:          abrupt4xCO2
    source:                 NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-n...
    model_id:               NorESM1-M
    forcing:                GHG
    parent_experiment_id:   piControl
    parent_experiment_rip:  r1i1p1
    branch_time:            255151.0
    contact:                Please send any requests or bug reports to noresm...
    initialization_method:  1
    physics_version:        1
    tracking_id:            a8ce9b68-78d8-497e-9801-5c22338f3e2e
    product:                output
    experiment:             abrupt 4XCO2
    frequency:              mon
    creation_date:          2011-06-07T12:47:46Z
    history:                2011-06-07T12:47:46Z CMOR rewrote data to comply ...
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...
    title:                  NorESM1-M model output prepared for CMIP5 abrupt ...
    parent_experiment:      pre-industrial control
    modeling_realm:         atmos
    realization:            1
    cmor_version:           2.6.0

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 96
- lev: 26
- lon: 144
- time: 1800

Coordinates: (4)

time
(time)
float64
15.5 45.0 ... 5.47e+04 5.473e+04
bounds :
time_bnds
units :
days since 0001-01-01 00:00:00
calendar :
noleap
axis :
T
long_name :
time
standard_name :
time
```
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 5.46735e+04, 5.47040e+04,
       5.47345e+04])
```

lev

(lev)

float64

0.9926 0.9706 ... 0.007389 0.003545

bounds :: lev_bnds
units :: 1
axis :: Z
positive :: down
long_name :: hybrid sigma pressure coordinate
standard_name :: atmosphere_hybrid_sigma_pressure_coordinate
formula :: p = a*p0 + b*ps
formula_terms :: p0: p0 a: a b: b ps: ps

array([0.992556, 0.970555, 0.929649, 0.867161, 0.787702, 0.696796, 0.600524,
       0.510455, 0.433895, 0.368818, 0.313501, 0.266481, 0.226513, 0.19254 ,
       0.163662, 0.139115, 0.11825 , 0.100515, 0.085439, 0.070059, 0.053115,
       0.03723 , 0.023945, 0.013967, 0.007389, 0.003545])

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, -84.315789, -82.421053, -80.526316,
       -78.631579, -76.736842, -74.842105, -72.947368, -71.052632, -69.157895,
       -67.263158, -65.368421, -63.473684, -61.578947, -59.684211, -57.789474,
       -55.894737, -54.      , -52.105263, -50.210526, -48.315789, -46.421053,
       -44.526316, -42.631579, -40.736842, -38.842105, -36.947368, -35.052632,
       -33.157895, -31.263158, -29.368421, -27.473684, -25.578947, -23.684211,
       -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,
        23.684211,  25.578947,  27.473684,  29.368421,  31.263158,  33.157895,
        35.052632,  36.947368,  38.842105,  40.736842,  42.631579,  44.526316,
        46.421053,  48.315789,  50.210526,  52.105263,  54.      ,  55.894737,
        57.789474,  59.684211,  61.578947,  63.473684,  65.368421,  67.263158,
        69.157895,  71.052632,  72.947368,  74.842105,  76.736842,  78.631579,
        80.526316,  82.421053,  84.315789,  86.210526,  88.105263,  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: (11)

time_bnds

(time, bnds)

float64

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

	Array	Chunk
Bytes	28.80 kB	19.20 kB
Shape	(1800, 2)	(1200, 2)
Count	6 Tasks	2 Chunks
Type	float64	numpy.ndarray

lev_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(1200, 26, 2), meta=np.ndarray>

formula :: p = a*p0 + b*ps
standard_name :: atmosphere_hybrid_sigma_pressure_coordinate
units :: 1
formula_terms :: p0: p0 a: a_bnds b: b_bnds ps: ps

	Array	Chunk
Bytes	748.80 kB	499.20 kB
Shape	(1800, 26, 2)	(1200, 26, 2)
Count	8 Tasks	2 Chunks
Type	float64	numpy.ndarray

p0
(time)
float32
100000.0 100000.0 ... 100000.0
long_name :
vertical coordinate formula term: reference pressure
units :
Pa
```
array([100000., 100000., 100000., ..., 100000., 100000., 100000.],
      dtype=float32)
```

(time, lev)

float64

dask.array<chunksize=(1200, 26), meta=np.ndarray>

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

	Array	Chunk
Bytes	374.40 kB	249.60 kB
Shape	(1800, 26)	(1200, 26)
Count	8 Tasks	2 Chunks
Type	float64	numpy.ndarray

(time, lev)

float64

dask.array<chunksize=(1200, 26), meta=np.ndarray>

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

	Array	Chunk
Bytes	374.40 kB	249.60 kB
Shape	(1800, 26)	(1200, 26)
Count	8 Tasks	2 Chunks
Type	float64	numpy.ndarray

(time, lat, lon)

float32

dask.array<chunksize=(1200, 96, 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	99.53 MB	66.36 MB
Shape	(1800, 96, 144)	(1200, 96, 144)
Count	6 Tasks	2 Chunks
Type	float32	numpy.ndarray

a_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(1200, 26, 2), meta=np.ndarray>

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

	Array	Chunk
Bytes	748.80 kB	499.20 kB
Shape	(1800, 26, 2)	(1200, 26, 2)
Count	8 Tasks	2 Chunks
Type	float64	numpy.ndarray

b_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(1200, 26, 2), meta=np.ndarray>

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

	Array	Chunk
Bytes	748.80 kB	499.20 kB
Shape	(1800, 26, 2)	(1200, 26, 2)
Count	8 Tasks	2 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

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

	Array	Chunk
Bytes	2.76 MB	1.84 MB
Shape	(1800, 96, 2)	(1200, 96, 2)
Count	8 Tasks	2 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

dask.array<chunksize=(1200, 144, 2), meta=np.ndarray>

	Array	Chunk
Bytes	4.15 MB	2.76 MB
Shape	(1800, 144, 2)	(1200, 144, 2)
Count	8 Tasks	2 Chunks
Type	float64	numpy.ndarray

cli

(time, lev, lat, lon)

float32

dask.array<chunksize=(1200, 26, 96, 144), meta=np.ndarray>

standard_name :: mass_fraction_of_cloud_ice_in_air
long_name :: Mass Fraction of Cloud Ice
comment :: Includes both large-scale and convective cloud. This is calculated as the mass of cloud ice in the grid cell divided by the mass of air (including the water in all phases) in the grid cell. It includes precipitating hydrometeors ONLY if the precipitating hydrometeors affect the calculation of radiative transfer in model.
units :: 1
original_name :: CLDICE
cell_methods :: time: mean
cell_measures :: area: areacella
history :: 2011-06-07T12:47:46Z altered by CMOR: replaced missing value flag (1e+20) with standard missing value (1e+20). 2011-06-07T12:47:46Z altered by CMOR: Converted type from 'd' to 'f'. 2011-06-07T12:47:46Z altered by CMOR: Inverted axis: lev.
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_NorESM1-M_abrupt4xCO2_r0i0p0.nc areacella: areacella_fx_NorESM1-M_abrupt4xCO2_r0i0p0.nc

	Array	Chunk
Bytes	2.59 GB	1.73 GB
Shape	(1800, 26, 96, 144)	(1200, 26, 96, 144)
Count	6 Tasks	2 Chunks
Type	float32	numpy.ndarray

Attributes: (26)
institution :
Norwegian Climate Centre
institute_id :
NCC
experiment_id :
abrupt4xCO2
source :
NorESM1-M 2011 atmosphere: CAM-Oslo (CAM4-Oslo-noresm-ver1_cmip5-r112, f19L26); ocean: MICOM (MICOM-noresm-ver1_cmip5-r112, gx1v6L53); sea ice: CICE (CICE4-noresm-ver1_cmip5-r112); land: CLM (CLM4-noresm-ver1_cmip5-r112)
model_id :
NorESM1-M
forcing :
GHG
parent_experiment_id :
piControl
parent_experiment_rip :
r1i1p1
branch_time :
255151.0
contact :
Please send any requests or bug reports to noresm-ncc@met.no.
initialization_method :
1
physics_version :
1
tracking_id :
a8ce9b68-78d8-497e-9801-5c22338f3e2e
product :
output
experiment :
abrupt 4XCO2
frequency :
mon
creation_date :
2011-06-07T12:47:46Z
history :
2011-06-07T12:47:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862
title :
NorESM1-M model output prepared for CMIP5 abrupt 4XCO2
parent_experiment :
pre-industrial control
modeling_realm :
atmos
realization :
1
cmor_version :
2.6.0