GISS-E2-H-CC model output prepared for CMIP5 RCP8.5

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clwvi_Amon_GISS-E2-H-CC_rcp85_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	GISS-E2-H-CC model output prepared for CMIP5 RCP8.5
location	/shared/cmip5/data/rcp85/atmos/mon/Amon/clwvi/NASA-GISS.GISS-E2-H-CC/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clwvi_Amon_GISS-E2-H-CC_rcp85_r1i1p1.yaml
last updated	2013-08-27

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, lat: 90, lon: 144, time: 1140)
Coordinates:
  * time       (time) float64 15.5 45.0 74.5 ... 1.817e+04 1.82e+04 1.823e+04
  * lat        (lat) float64 -89.0 -87.0 -85.0 -83.0 ... 83.0 85.0 87.0 89.0
  * lon        (lon) float64 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8
Dimensions without coordinates: bnds
Data variables:
    time_bnds  (time, bnds) float64 dask.array<chunksize=(540, 2), meta=np.ndarray>
    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(540, 90, 2), meta=np.ndarray>
    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(540, 144, 2), meta=np.ndarray>
    clwvi      (time, lat, lon) float32 dask.array<chunksize=(540, 90, 144), meta=np.ndarray>
Attributes:
    institution:            NASA/GISS (Goddard Institute for Space Studies) N...
    institute_id:           NASA-GISS
    experiment_id:          rcp85
    source:                 GISS-E2-H-CC-E4arobio_h8RCP85 Atmosphere: GISS-E2...
    model_id:               GISS-E2-H-CC
    forcing:                GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes BC...
    parent_experiment_id:   historical
    parent_experiment_rip:  r1i1p1
    branch_time:            2006.0
    contact:                Kenneth Lo (cdkkl@giss.nasa.gov)
    references:             http://data.giss.nasa.gov/modelE/ar5
    initialization_method:  1
    physics_version:        1
    tracking_id:            ddcd70b2-9587-4da8-9ac8-0a87b20318c2
    product:                output
    experiment:             RCP8.5
    frequency:              mon
    creation_date:          2013-08-08T14:13:14Z
    history:                2013-08-08T14:13:14Z CMOR rewrote data to comply ...
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table Amon (31 January 2011) 2515019193f1c55327ce...
    title:                  GISS-E2-H-CC model output prepared for CMIP5 RCP8.5
    parent_experiment:      historical
    modeling_realm:         atmos
    realization:            1
    cmor_version:           2.5.7

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 90
- lon: 144
- time: 1140

Coordinates: (3)

time
(time)
float64
15.5 45.0 ... 1.82e+04 1.823e+04
bounds :
time_bnds
calendar :
365_day
axis :
T
long_name :
time
standard_name :
time
```
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 1.81735e+04, 1.82040e+04,
       1.82345e+04])
```

lat

(lat)

float64

-89.0 -87.0 -85.0 ... 87.0 89.0

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

array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,
       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,
       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,
       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,
         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,
        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,
        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,
        79.,  81.,  83.,  85.,  87.,  89.])

lon

(lon)

float64

1.25 3.75 6.25 ... 356.2 358.8

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

array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,
        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,
        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,
        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,
        91.25,  93.75,  96.25,  98.75, 101.25, 103.75, 106.25, 108.75, 111.25,
       113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75,
       136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25,
       158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75,
       181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25,
       203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75,
       226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25,
       248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75,
       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,
       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,
       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,
       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])

Data variables: (4)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(540, 2), meta=np.ndarray>

	Array	Chunk
Bytes	18.24 kB	9.60 kB
Shape	(1140, 2)	(600, 2)
Count	6 Tasks	2 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

dask.array<chunksize=(540, 90, 2), meta=np.ndarray>

	Array	Chunk
Bytes	1.64 MB	864.00 kB
Shape	(1140, 90, 2)	(600, 90, 2)
Count	8 Tasks	2 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

dask.array<chunksize=(540, 144, 2), meta=np.ndarray>

	Array	Chunk
Bytes	2.63 MB	1.38 MB
Shape	(1140, 144, 2)	(600, 144, 2)
Count	8 Tasks	2 Chunks
Type	float64	numpy.ndarray

clwvi

(time, lat, lon)

float32

dask.array<chunksize=(540, 90, 144), meta=np.ndarray>

standard_name :: atmosphere_cloud_condensed_water_content
long_name :: Condensed Water Path
comment :: mass of condensed (liquid + ice) water in the column divided by the area of the column (not just the area of the cloudy portion of the column). Includes precipitating hydrometeors ONLY if the precipitating hydrometeor affects the calculation of radiative transfer in model.
units :: kg m-2
original_name :: dummy
cell_methods :: time: mean
cell_measures :: area: areacella
history :: 2013-08-08T14:13:14Z altered by CMOR: replaced missing value flag (-1e+30) with standard missing value (1e+20).
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_GISS-E2-H-CC_rcp85_r0i0p0.nc areacella: areacella_fx_GISS-E2-H-CC_rcp85_r0i0p0.nc

	Array	Chunk
Bytes	59.10 MB	31.10 MB
Shape	(1140, 90, 144)	(600, 90, 144)
Count	6 Tasks	2 Chunks
Type	float32	numpy.ndarray

Attributes: (27)
institution :
NASA/GISS (Goddard Institute for Space Studies) New York, NY
institute_id :
NASA-GISS
experiment_id :
rcp85
source :
GISS-E2-H-CC-E4arobio_h8RCP85 Atmosphere: GISS-E2; Ocean: R
model_id :
GISS-E2-H-CC
forcing :
GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes BC on snow - Nitrate aerosols)
parent_experiment_id :
historical
parent_experiment_rip :
r1i1p1
branch_time :
2006.0
contact :
Kenneth Lo (cdkkl@giss.nasa.gov)
references :
http://data.giss.nasa.gov/modelE/ar5
initialization_method :
1
physics_version :
1
tracking_id :
ddcd70b2-9587-4da8-9ac8-0a87b20318c2
product :
output
experiment :
RCP8.5
frequency :
mon
creation_date :
2013-08-08T14:13:14Z
history :
2013-08-08T14:13:14Z 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) 2515019193f1c55327ceb0119627a708
title :
GISS-E2-H-CC model output prepared for CMIP5 RCP8.5
parent_experiment :
historical
modeling_realm :
atmos
realization :
1
cmor_version :
2.5.7