HadGEM2-ES 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_HadGEM2-ES_abrupt4xCO2_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	HadGEM2-ES model output prepared for CMIP5 abrupt 4XCO2
location	/shared/cmip5/data/abrupt4xCO2/atmos/mon/Amon/cl/MOHC.HadGEM2-ES/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/cl_Amon_HadGEM2-ES_abrupt4xCO2_r1i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, lat: 145, lev: 38, lon: 192, time: 1813)
Coordinates:
  * time       (time) float64 15.0 45.0 75.0 ... 5.432e+04 5.434e+04 5.438e+04
  * lev        (lev) float64 20.0 80.0 180.0 ... 2.922e+04 3.291e+04 3.925e+04
  * lat        (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0
  * lon        (lon) float64 0.0 1.875 3.75 5.625 ... 352.5 354.4 356.2 358.1
Dimensions without coordinates: bnds
Data variables:
    time_bnds  (time, bnds) float64 dask.array<chunksize=(12, 2), meta=np.ndarray>
    lev_bnds   (time, lev, bnds) float64 dask.array<chunksize=(12, 38, 2), meta=np.ndarray>
    b          (time, lev) float64 dask.array<chunksize=(12, 38), meta=np.ndarray>
    orog       (time, lat, lon) float32 dask.array<chunksize=(12, 145, 192), meta=np.ndarray>
    b_bnds     (time, lev, bnds) float64 dask.array<chunksize=(12, 38, 2), meta=np.ndarray>
    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(12, 145, 2), meta=np.ndarray>
    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(12, 192, 2), meta=np.ndarray>
    cl         (time, lev, lat, lon) float32 dask.array<chunksize=(12, 38, 145, 192), meta=np.ndarray>
Attributes:
    institution:            Met Office Hadley Centre, Fitzroy Road, Exeter, D...
    institute_id:           MOHC
    experiment_id:          abrupt4xCO2
    source:                 HadGEM2-ES (2009) atmosphere: HadGAM2 (N96L38); o...
    model_id:               HadGEM2-ES
    forcing:                GHG (GHG = CO2)
    parent_experiment_id:   piControl
    parent_experiment_rip:  r1i1p1
    branch_time:            0.0
    contact:                chris.d.jones@metoffice.gov.uk, mark.webb@metoffi...
    history:                MOHC pp to CMOR/NetCDF convertor (version 1.7.0) ...
    initialization_method:  1
    physics_version:        1
    tracking_id:            19bf9839-e16e-4164-926f-f9570001c2f4
    mo_runid:               ajele
    product:                output
    experiment:             abrupt 4XCO2
    frequency:              mon
    creation_date:          2011-03-21T10:15:46Z
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...
    title:                  HadGEM2-ES model output prepared for CMIP5 abrupt...
    parent_experiment:      pre-industrial control
    modeling_realm:         atmos
    realization:            1
    cmor_version:           2.5.3

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 145
- lev: 38
- lon: 192
- time: 1813

Coordinates: (4)

time
(time)
float64
15.0 45.0 ... 5.434e+04 5.438e+04
bounds :
time_bnds
units :
days since 1859-12-01
calendar :
360_day
axis :
T
long_name :
time
standard_name :
time
```
array([1.5000e+01, 4.5000e+01, 7.5000e+01, ..., 5.4315e+04, 5.4345e+04,
       5.4375e+04])
```

lev

(lev)

float64

20.0 80.0 ... 3.291e+04 3.925e+04

bounds :: lev_bnds
units :: m
axis :: Z
positive :: up
long_name :: hybrid height coordinate
standard_name :: atmosphere_hybrid_height_coordinate
formula :: z = a + b*orog
formula_terms :: a: lev b: b orog: orog

array([2.000034e+01, 8.000135e+01, 1.799991e+02, 3.200015e+02, 5.000006e+02,
       7.200004e+02, 9.800009e+02, 1.279998e+03, 1.620000e+03, 1.999998e+03,
       2.420002e+03, 2.880001e+03, 3.379998e+03, 3.920000e+03, 4.500001e+03,
       5.120000e+03, 5.780000e+03, 6.480000e+03, 7.220000e+03, 8.000001e+03,
       8.820000e+03, 9.679999e+03, 1.058000e+04, 1.152000e+04, 1.250000e+04,
       1.352000e+04, 1.458080e+04, 1.569464e+04, 1.687531e+04, 1.813863e+04,
       1.950301e+04, 2.099019e+04, 2.262608e+04, 2.445829e+04, 2.658364e+04,
       2.921908e+04, 3.290869e+04, 3.925483e+04])

lat

(lat)

float64

-90.0 -88.75 -87.5 ... 88.75 90.0

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

array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,
       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,
       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,
       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,
       -45.  , -43.75, -42.5 , -41.25, -40.  , -38.75, -37.5 , -36.25, -35.  ,
       -33.75, -32.5 , -31.25, -30.  , -28.75, -27.5 , -26.25, -25.  , -23.75,
       -22.5 , -21.25, -20.  , -18.75, -17.5 , -16.25, -15.  , -13.75, -12.5 ,
       -11.25, -10.  ,  -8.75,  -7.5 ,  -6.25,  -5.  ,  -3.75,  -2.5 ,  -1.25,
         0.  ,   1.25,   2.5 ,   3.75,   5.  ,   6.25,   7.5 ,   8.75,  10.  ,
        11.25,  12.5 ,  13.75,  15.  ,  16.25,  17.5 ,  18.75,  20.  ,  21.25,
        22.5 ,  23.75,  25.  ,  26.25,  27.5 ,  28.75,  30.  ,  31.25,  32.5 ,
        33.75,  35.  ,  36.25,  37.5 ,  38.75,  40.  ,  41.25,  42.5 ,  43.75,
        45.  ,  46.25,  47.5 ,  48.75,  50.  ,  51.25,  52.5 ,  53.75,  55.  ,
        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,
        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,
        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,
        90.  ])

lon

(lon)

float64

0.0 1.875 3.75 ... 356.2 358.1

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

array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,
        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,
        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,
        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,
        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,
        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,
        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,
       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,
       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,
       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,
       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,
       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,
       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,
       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,
       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,
       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,
       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,
       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,
       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,
       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,
       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,
       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,
       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,
       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])

Data variables: (8)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(12, 2), meta=np.ndarray>

	Array	Chunk
Bytes	29.01 kB	4.80 kB
Shape	(1813, 2)	(300, 2)
Count	24 Tasks	8 Chunks
Type	float64	numpy.ndarray

lev_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(12, 38, 2), meta=np.ndarray>

formula :: z = a + b*orog
standard_name :: atmosphere_hybrid_height_coordinate
units :: m
formula_terms :: a: lev_bnds b: b_bnds orog: orog

	Array	Chunk
Bytes	1.10 MB	182.40 kB
Shape	(1813, 38, 2)	(300, 38, 2)
Count	32 Tasks	8 Chunks
Type	float64	numpy.ndarray

(time, lev)

float64

dask.array<chunksize=(12, 38), meta=np.ndarray>

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

	Array	Chunk
Bytes	551.15 kB	91.20 kB
Shape	(1813, 38)	(300, 38)
Count	32 Tasks	8 Chunks
Type	float64	numpy.ndarray

orog

(time, lat, lon)

float32

dask.array<chunksize=(12, 145, 192), meta=np.ndarray>

standard_name :: surface_altitude
long_name :: Surface Altitude
comment :: height above the geoid; as defined here, ""the geoid"" is a surface of constant geopotential that, if the ocean were at rest, would coincide with mean sea level. Under this definition, the geoid changes as the mean volume of the ocean changes (e.g., due to glacial melt, or global warming of the ocean). Report here the height above the present-day geoid. Over ocean, report as 0.0
units :: m

	Array	Chunk
Bytes	201.90 MB	33.41 MB
Shape	(1813, 145, 192)	(300, 145, 192)
Count	32 Tasks	8 Chunks
Type	float32	numpy.ndarray

b_bnds

(time, lev, bnds)

float64

dask.array<chunksize=(12, 38, 2), meta=np.ndarray>

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

	Array	Chunk
Bytes	1.10 MB	182.40 kB
Shape	(1813, 38, 2)	(300, 38, 2)
Count	32 Tasks	8 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

dask.array<chunksize=(12, 145, 2), meta=np.ndarray>

	Array	Chunk
Bytes	4.21 MB	696.00 kB
Shape	(1813, 145, 2)	(300, 145, 2)
Count	32 Tasks	8 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

dask.array<chunksize=(12, 192, 2), meta=np.ndarray>

	Array	Chunk
Bytes	5.57 MB	921.60 kB
Shape	(1813, 192, 2)	(300, 192, 2)
Count	32 Tasks	8 Chunks
Type	float64	numpy.ndarray

(time, lev, lat, lon)

float32

dask.array<chunksize=(12, 38, 145, 192), 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 :: mo: m01s02i261*100.
cell_methods :: time: mean
cell_measures :: area: areacella
history :: 2011-03-21T10:15:46Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_HadGEM2-ES_abrupt4xCO2_r0i0p0.nc areacella: areacella_fx_HadGEM2-ES_abrupt4xCO2_r0i0p0.nc

	Array	Chunk
Bytes	7.67 GB	1.27 GB
Shape	(1813, 38, 145, 192)	(300, 38, 145, 192)
Count	24 Tasks	8 Chunks
Type	float32	numpy.ndarray

Attributes: (27)
institution :
Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK, (http://www.metoffice.gov.uk)
institute_id :
MOHC
experiment_id :
abrupt4xCO2
source :
HadGEM2-ES (2009) atmosphere: HadGAM2 (N96L38); ocean: HadGOM2 (lat: 1.0-0.3 lon: 1.0 L40); land-surface/vegetation: MOSES2 and TRIFFID; tropospheric chemistry: UKCA; ocean biogeochemistry: diat-HadOCC
model_id :
HadGEM2-ES
forcing :
GHG (GHG = CO2)
parent_experiment_id :
piControl
parent_experiment_rip :
r1i1p1
branch_time :
0.0
contact :
chris.d.jones@metoffice.gov.uk, mark.webb@metoffice.gov.uk
history :
MOHC pp to CMOR/NetCDF convertor (version 1.7.0) 2011-03-21T10:15:44Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
initialization_method :
1
physics_version :
1
tracking_id :
19bf9839-e16e-4164-926f-f9570001c2f4
mo_runid :
ajele
product :
output
experiment :
abrupt 4XCO2
frequency :
mon
creation_date :
2011-03-21T10:15:46Z
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5
title :
HadGEM2-ES model output prepared for CMIP5 abrupt 4XCO2
parent_experiment :
pre-industrial control
modeling_realm :
atmos
realization :
1
cmor_version :
2.5.3