HadGEM2-AO model output prepared for CMIP5 pre-industrial control

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/hus_Amon_HadGEM2-AO_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	HadGEM2-AO model output prepared for CMIP5 pre-industrial control
location	/shared/cmip5/data/piControl/atmos/mon/Amon/hus/NIMR-KMA.HadGEM2-AO/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/hus_Amon_HadGEM2-AO_piControl_r1i1p1.yaml
last updated	2017-07-06

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, lat: 144, lon: 192, plev: 17, time: 8400)
Coordinates:
  * time       (time) float64 15.0 45.0 75.0 ... 3.592e+04 3.596e+04 3.598e+04
  * plev       (plev) float64 1e+05 9.25e+04 8.5e+04 7e+04 ... 3e+03 2e+03 1e+03
  * lat        (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38
  * lon        (lon) float64 0.9375 2.812 4.688 6.562 ... 355.3 357.2 359.1
Dimensions without coordinates: bnds
Data variables:
    time_bnds  (time, bnds) float64 dask.array<chunksize=(1200, 2), meta=np.ndarray>
    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(1200, 144, 2), meta=np.ndarray>
    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(1200, 192, 2), meta=np.ndarray>
    hus        (time, plev, lat, lon) float32 dask.array<chunksize=(1200, 17, 144, 192), meta=np.ndarray>
Attributes:
    institution:            NIMR (National Institute of Meteorological Resear...
    institute_id:           NIMR-KMA
    experiment_id:          piControl
    source:                 HadGEM2-AO r6.6.3 (2010): atmosphere:  HadGAM (Ha...
    model_id:               HadGEM2-AO
    forcing:                Nat, Ant, GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD...
    parent_experiment_id:   N/A
    branch_time:            0.0
    contact:                Hyo-Shin Lee
    history:                Output from archive/hadgem2-ao. 2012-07-18T04:41:...
    references:             Model described by Johns et al. (J. Clim., 2006, ...
    initialization_method:  1
    physics_version:        1
    tracking_id:            6e4b5f8c-2266-4f4f-95f0-d6675df366fb
    frequency:              mon
    product:                output
    experiment:             pre-industrial control
    creation_date:          2012-07-18T04:41:36Z
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Amon (08 July 2010) 0f29d14a72ad86a2466d830...
    title:                  HadGEM2-AO model output prepared for CMIP5 pre-in...
    parent_experiment:      N/A
    modeling_realm:         atmos
    realization:            1
    cmor_version:           2.0.1

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 144
- lon: 192
- plev: 17
- time: 8400

Coordinates: (4)

time
(time)
float64
15.0 45.0 ... 3.596e+04 3.598e+04
bounds :
time_bnds
calendar :
360_day
axis :
T
long_name :
time
standard_name :
time
```
array([1.5000e+01, 4.5000e+01, 7.5000e+01, ..., 3.5925e+04, 3.5955e+04,
       3.5985e+04])
```

plev

(plev)

float64

1e+05 9.25e+04 ... 2e+03 1e+03

units :: Pa
axis :: Z
positive :: down
long_name :: pressure
standard_name :: air_pressure

array([100000.,  92500.,  85000.,  70000.,  60000.,  50000.,  40000.,  30000.,
        25000.,  20000.,  15000.,  10000.,   7000.,   5000.,   3000.,   2000.,
         1000.])

lat

(lat)

float64

-89.38 -88.12 ... 88.12 89.38

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

array([-89.375, -88.125, -86.875, -85.625, -84.375, -83.125, -81.875, -80.625,
       -79.375, -78.125, -76.875, -75.625, -74.375, -73.125, -71.875, -70.625,
       -69.375, -68.125, -66.875, -65.625, -64.375, -63.125, -61.875, -60.625,
       -59.375, -58.125, -56.875, -55.625, -54.375, -53.125, -51.875, -50.625,
       -49.375, -48.125, -46.875, -45.625, -44.375, -43.125, -41.875, -40.625,
       -39.375, -38.125, -36.875, -35.625, -34.375, -33.125, -31.875, -30.625,
       -29.375, -28.125, -26.875, -25.625, -24.375, -23.125, -21.875, -20.625,
       -19.375, -18.125, -16.875, -15.625, -14.375, -13.125, -11.875, -10.625,
        -9.375,  -8.125,  -6.875,  -5.625,  -4.375,  -3.125,  -1.875,  -0.625,
         0.625,   1.875,   3.125,   4.375,   5.625,   6.875,   8.125,   9.375,
        10.625,  11.875,  13.125,  14.375,  15.625,  16.875,  18.125,  19.375,
        20.625,  21.875,  23.125,  24.375,  25.625,  26.875,  28.125,  29.375,
        30.625,  31.875,  33.125,  34.375,  35.625,  36.875,  38.125,  39.375,
        40.625,  41.875,  43.125,  44.375,  45.625,  46.875,  48.125,  49.375,
        50.625,  51.875,  53.125,  54.375,  55.625,  56.875,  58.125,  59.375,
        60.625,  61.875,  63.125,  64.375,  65.625,  66.875,  68.125,  69.375,
        70.625,  71.875,  73.125,  74.375,  75.625,  76.875,  78.125,  79.375,
        80.625,  81.875,  83.125,  84.375,  85.625,  86.875,  88.125,  89.375])

lon

(lon)

float64

0.9375 2.812 4.688 ... 357.2 359.1

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

array([  0.9375,   2.8125,   4.6875,   6.5625,   8.4375,  10.3125,  12.1875,
        14.0625,  15.9375,  17.8125,  19.6875,  21.5625,  23.4375,  25.3125,
        27.1875,  29.0625,  30.9375,  32.8125,  34.6875,  36.5625,  38.4375,
        40.3125,  42.1875,  44.0625,  45.9375,  47.8125,  49.6875,  51.5625,
        53.4375,  55.3125,  57.1875,  59.0625,  60.9375,  62.8125,  64.6875,
        66.5625,  68.4375,  70.3125,  72.1875,  74.0625,  75.9375,  77.8125,
        79.6875,  81.5625,  83.4375,  85.3125,  87.1875,  89.0625,  90.9375,
        92.8125,  94.6875,  96.5625,  98.4375, 100.3125, 102.1875, 104.0625,
       105.9375, 107.8125, 109.6875, 111.5625, 113.4375, 115.3125, 117.1875,
       119.0625, 120.9375, 122.8125, 124.6875, 126.5625, 128.4375, 130.3125,
       132.1875, 134.0625, 135.9375, 137.8125, 139.6875, 141.5625, 143.4375,
       145.3125, 147.1875, 149.0625, 150.9375, 152.8125, 154.6875, 156.5625,
       158.4375, 160.3125, 162.1875, 164.0625, 165.9375, 167.8125, 169.6875,
       171.5625, 173.4375, 175.3125, 177.1875, 179.0625, 180.9375, 182.8125,
       184.6875, 186.5625, 188.4375, 190.3125, 192.1875, 194.0625, 195.9375,
       197.8125, 199.6875, 201.5625, 203.4375, 205.3125, 207.1875, 209.0625,
       210.9375, 212.8125, 214.6875, 216.5625, 218.4375, 220.3125, 222.1875,
       224.0625, 225.9375, 227.8125, 229.6875, 231.5625, 233.4375, 235.3125,
       237.1875, 239.0625, 240.9375, 242.8125, 244.6875, 246.5625, 248.4375,
       250.3125, 252.1875, 254.0625, 255.9375, 257.8125, 259.6875, 261.5625,
       263.4375, 265.3125, 267.1875, 269.0625, 270.9375, 272.8125, 274.6875,
       276.5625, 278.4375, 280.3125, 282.1875, 284.0625, 285.9375, 287.8125,
       289.6875, 291.5625, 293.4375, 295.3125, 297.1875, 299.0625, 300.9375,
       302.8125, 304.6875, 306.5625, 308.4375, 310.3125, 312.1875, 314.0625,
       315.9375, 317.8125, 319.6875, 321.5625, 323.4375, 325.3125, 327.1875,
       329.0625, 330.9375, 332.8125, 334.6875, 336.5625, 338.4375, 340.3125,
       342.1875, 344.0625, 345.9375, 347.8125, 349.6875, 351.5625, 353.4375,
       355.3125, 357.1875, 359.0625])

Data variables: (4)

time_bnds

(time, bnds)

float64

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

	Array	Chunk
Bytes	134.40 kB	19.20 kB
Shape	(8400, 2)	(1200, 2)
Count	21 Tasks	7 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

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

	Array	Chunk
Bytes	19.35 MB	2.76 MB
Shape	(8400, 144, 2)	(1200, 144, 2)
Count	28 Tasks	7 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

dask.array<chunksize=(1200, 192, 2), meta=np.ndarray>

	Array	Chunk
Bytes	25.80 MB	3.69 MB
Shape	(8400, 192, 2)	(1200, 192, 2)
Count	28 Tasks	7 Chunks
Type	float64	numpy.ndarray

hus

(time, plev, lat, lon)

float32

dask.array<chunksize=(1200, 17, 144, 192), meta=np.ndarray>

standard_name :: specific_humidity
long_name :: Specific Humidity
units :: 1
original_name :: HUS
original_units :: 1
history :: 2012-07-18T04:41:35Z altered by CMOR: Converted units from ' 1' to '1'.
cell_methods :: time: mean (interval: 1 month)
cell_measures :: area: areacella
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_fx_HadGEM2-AO_piControl_r0i0p0.nc areacella: areacella_fx_HadGEM2-AO_piControl_r0i0p0.nc

	Array	Chunk
Bytes	15.79 GB	2.26 GB
Shape	(8400, 17, 144, 192)	(1200, 17, 144, 192)
Count	21 Tasks	7 Chunks
Type	float32	numpy.ndarray

Attributes: (26)
institution :
NIMR (National Institute of Meteorological Research, Seoul, South Korea)
institute_id :
NIMR-KMA
experiment_id :
piControl
source :
HadGEM2-AO r6.6.3 (2010): atmosphere: HadGAM (HadGAM2, N96L38); atm: HadGOM (HadGOM2, 1x1L40, increased res at Equator); sea ice: part of HadGOM2; land: MOSES-2
model_id :
HadGEM2-AO
forcing :
Nat, Ant, GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC
parent_experiment_id :
N/A
branch_time :
0.0
contact :
Hyo-Shin Lee
history :
Output from archive/hadgem2-ao. 2012-07-18T04:41:36Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
references :
Model described by Johns et al. (J. Clim., 2006, 1327-1353). Also see http://www.metoffice.gov.uk/research/hadleycentre/pubs/HCTN/HCTN_54.pdf transient experiments described in Stott et al. (J. Clim., 2006, 2763-2782.)
initialization_method :
1
physics_version :
1
tracking_id :
6e4b5f8c-2266-4f4f-95f0-d6675df366fb
frequency :
mon
product :
output
experiment :
pre-industrial control
creation_date :
2012-07-18T04:41:36Z
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table Amon (08 July 2010) 0f29d14a72ad86a2466d830072657eac
title :
HadGEM2-AO model output prepared for CMIP5 pre-industrial control
parent_experiment :
N/A
modeling_realm :
atmos
realization :
1
cmor_version :
2.0.1