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/cl_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/cl/NCC.NorESM1-M/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/cl_Amon_NorESM1-M_abrupt4xCO2_r1i1p1.yaml
last updated	2013-05-23

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>
    cl         (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:            4005359b-fc00-4266-80b0-b3ebe4858e85
    product:                output
    experiment:             abrupt 4XCO2
    frequency:              mon
    creation_date:          2011-06-07T12:21:35Z
    history:                2011-06-07T12:21:35Z 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

(time, lev, lat, lon)

float32

dask.array<chunksize=(1200, 26, 96, 144), 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 :: CLOUD
original_units :: 1
history :: 2011-06-07T12:21:34Z altered by CMOR: Converted units from '1' to '%'. 2011-06-07T12:21:34Z altered by CMOR: replaced missing value flag (1e+20) with standard missing value (1e+20). 2011-06-07T12:21:35Z altered by CMOR: Converted type from 'd' to 'f'. 2011-06-07T12:21:35Z altered by CMOR: Inverted axis: lev.
cell_methods :: time: mean
cell_measures :: area: areacella
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 :
4005359b-fc00-4266-80b0-b3ebe4858e85
product :
output
experiment :
abrupt 4XCO2
frequency :
mon
creation_date :
2011-06-07T12:21:35Z
history :
2011-06-07T12:21:35Z 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