inmcm4 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/hfls_day_inmcm4_rcp85_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	inmcm4 model output prepared for CMIP5 RCP8.5
location	/shared/cmip5/data/rcp85/atmos/day/day/hfls/INM.inmcm4/r1i1p1
tags	gridded,global,model,daily
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/hfls_day_inmcm4_rcp85_r1i1p1.yaml
last updated	2013-05-28

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, lat: 120, lon: 180, time: 34675)
Coordinates:
  * time       (time) float64 0.5 1.5 2.5 3.5 ... 3.467e+04 3.467e+04 3.467e+04
  * lat        (lat) float64 -89.25 -87.75 -86.25 -84.75 ... 86.25 87.75 89.25
  * lon        (lon) float64 0.0 2.0 4.0 6.0 8.0 ... 352.0 354.0 356.0 358.0
Dimensions without coordinates: bnds
Data variables:
    time_bnds  (time, bnds) float64 dask.array<chunksize=(3650, 2), meta=np.ndarray>
    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(3650, 120, 2), meta=np.ndarray>
    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(3650, 180, 2), meta=np.ndarray>
    hfls       (time, lat, lon) float32 dask.array<chunksize=(3650, 120, 180), meta=np.ndarray>
Attributes:
    institution:            INM (Institute for Numerical Mathematics,  Moscow...
    institute_id:           INM
    experiment_id:          rcp85
    source:                 inmcm4 (2009)
    model_id:               inmcm4
    forcing:                N/A
    parent_experiment_id:   historical
    branch_time:            56940.0
    contact:                Evgeny Volodin, volodin@inm.ras.ru,INM RAS, Gubki...
    history:                Output from /data5/volodin/RCP85 2010-10-22T13:42...
    comment:                no comments
    references:             Volodin, Diansky, Gusev 2010. Climate model INMCM...
    initialization_method:  1
    physics_version:        1
    tracking_id:            b22d7dde-1f82-4528-9915-616ca7c03ecd
    product:                output
    experiment:             RCP8.5
    frequency:              day
    creation_date:          2010-10-22T13:46:35Z
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table day (12 May 2010) f130b8ed0705d49c749410c05...
    title:                  inmcm4 model output prepared for CMIP5 RCP8.5
    parent_experiment:      Historical
    modeling_realm:         atmos
    realization:            1
    cmor_version:           2.0.0

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 120
- lon: 180
- time: 34675

Coordinates: (3)

time
(time)
float64
0.5 1.5 2.5 ... 3.467e+04 3.467e+04
bounds :
time_bnds
units :
days since 2006-1-1
calendar :
365_day
axis :
T
long_name :
time
standard_name :
time
```
array([5.00000e-01, 1.50000e+00, 2.50000e+00, ..., 3.46725e+04, 3.46735e+04,
       3.46745e+04])
```

lat

(lat)

float64

-89.25 -87.75 ... 87.75 89.25

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

array([-89.25, -87.75, -86.25, -84.75, -83.25, -81.75, -80.25, -78.75, -77.25,
       -75.75, -74.25, -72.75, -71.25, -69.75, -68.25, -66.75, -65.25, -63.75,
       -62.25, -60.75, -59.25, -57.75, -56.25, -54.75, -53.25, -51.75, -50.25,
       -48.75, -47.25, -45.75, -44.25, -42.75, -41.25, -39.75, -38.25, -36.75,
       -35.25, -33.75, -32.25, -30.75, -29.25, -27.75, -26.25, -24.75, -23.25,
       -21.75, -20.25, -18.75, -17.25, -15.75, -14.25, -12.75, -11.25,  -9.75,
        -8.25,  -6.75,  -5.25,  -3.75,  -2.25,  -0.75,   0.75,   2.25,   3.75,
         5.25,   6.75,   8.25,   9.75,  11.25,  12.75,  14.25,  15.75,  17.25,
        18.75,  20.25,  21.75,  23.25,  24.75,  26.25,  27.75,  29.25,  30.75,
        32.25,  33.75,  35.25,  36.75,  38.25,  39.75,  41.25,  42.75,  44.25,
        45.75,  47.25,  48.75,  50.25,  51.75,  53.25,  54.75,  56.25,  57.75,
        59.25,  60.75,  62.25,  63.75,  65.25,  66.75,  68.25,  69.75,  71.25,
        72.75,  74.25,  75.75,  77.25,  78.75,  80.25,  81.75,  83.25,  84.75,
        86.25,  87.75,  89.25])

lon

(lon)

float64

0.0 2.0 4.0 ... 354.0 356.0 358.0

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

array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
        24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
        48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
        72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
        96.,  98., 100., 102., 104., 106., 108., 110., 112., 114., 116., 118.,
       120., 122., 124., 126., 128., 130., 132., 134., 136., 138., 140., 142.,
       144., 146., 148., 150., 152., 154., 156., 158., 160., 162., 164., 166.,
       168., 170., 172., 174., 176., 178., 180., 182., 184., 186., 188., 190.,
       192., 194., 196., 198., 200., 202., 204., 206., 208., 210., 212., 214.,
       216., 218., 220., 222., 224., 226., 228., 230., 232., 234., 236., 238.,
       240., 242., 244., 246., 248., 250., 252., 254., 256., 258., 260., 262.,
       264., 266., 268., 270., 272., 274., 276., 278., 280., 282., 284., 286.,
       288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
       312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
       336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.])

Data variables: (4)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(3650, 2), meta=np.ndarray>

	Array	Chunk
Bytes	554.80 kB	58.40 kB
Shape	(34675, 2)	(3650, 2)
Count	30 Tasks	10 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

dask.array<chunksize=(3650, 120, 2), meta=np.ndarray>

	Array	Chunk
Bytes	66.58 MB	7.01 MB
Shape	(34675, 120, 2)	(3650, 120, 2)
Count	40 Tasks	10 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

dask.array<chunksize=(3650, 180, 2), meta=np.ndarray>

	Array	Chunk
Bytes	99.86 MB	10.51 MB
Shape	(34675, 180, 2)	(3650, 180, 2)
Count	40 Tasks	10 Chunks
Type	float64	numpy.ndarray

hfls

(time, lat, lon)

float32

dask.array<chunksize=(3650, 120, 180), meta=np.ndarray>

standard_name :: surface_upward_latent_heat_flux
long_name :: Surface Upward Latent Heat Flux
units :: W m-2
original_name :: hfls
cell_methods :: time: mean (interval: 1 day)
cell_measures :: area: areacella
history :: 2010-10-22T13:42:04Z altered by CMOR: Changed sign. 2010-10-22T13:42:04Z altered by CMOR: Reordered dimensions, original order: time lon lat.
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_fx_inmcm4_rcp85_r0i0p0.nc areacella: areacella_fx_inmcm4_rcp85_r0i0p0.nc

	Array	Chunk
Bytes	3.00 GB	315.36 MB
Shape	(34675, 120, 180)	(3650, 120, 180)
Count	30 Tasks	10 Chunks
Type	float32	numpy.ndarray

Attributes: (27)
institution :
INM (Institute for Numerical Mathematics, Moscow, Russia)
institute_id :
INM
experiment_id :
rcp85
source :
inmcm4 (2009)
model_id :
inmcm4
forcing :
N/A
parent_experiment_id :
historical
branch_time :
56940.0
contact :
Evgeny Volodin, volodin@inm.ras.ru,INM RAS, Gubkina 8, Moscow, 119333 Russia,+7-495-9383904
history :
Output from /data5/volodin/RCP85 2010-10-22T13:42:04Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
comment :
no comments
references :
Volodin, Diansky, Gusev 2010. Climate model INMCM4.0. Izvestia RAS. Atmospheric and oceanic physics, V.46, N4, in print.
initialization_method :
1
physics_version :
1
tracking_id :
b22d7dde-1f82-4528-9915-616ca7c03ecd
product :
output
experiment :
RCP8.5
frequency :
day
creation_date :
2010-10-22T13:46:35Z
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table day (12 May 2010) f130b8ed0705d49c749410c0519c50cb
title :
inmcm4 model output prepared for CMIP5 RCP8.5
parent_experiment :
Historical
modeling_realm :
atmos
realization :
1
cmor_version :
2.0.0