MIROC4h 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/snw_LImon_MIROC4h_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	MIROC4h model output prepared for CMIP5 pre-industrial control
location	/shared/cmip5/data/piControl/landIce/mon/LImon/snw/MIROC.MIROC4h/r1i1p1
tags	gridded,global,model,monthly
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/snw_LImon_MIROC4h_piControl_r1i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, lat: 320, lon: 640, time: 1200)
Coordinates:
  * time       (time) float64 15.5 45.0 74.5 ... 3.642e+04 3.645e+04 3.648e+04
  * lat        (lat) float64 -89.57 -89.01 -88.45 -87.89 ... 88.45 89.01 89.57
  * lon        (lon) float64 0.0 0.5625 1.125 1.688 ... 357.8 358.3 358.9 359.4
Dimensions without coordinates: bnds
Data variables:
    time_bnds  (time, bnds) float64 dask.array<chunksize=(120, 2), meta=np.ndarray>
    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(120, 320, 2), meta=np.ndarray>
    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(120, 640, 2), meta=np.ndarray>
    snw        (time, lat, lon) float32 dask.array<chunksize=(120, 320, 640), meta=np.ndarray>
Attributes:
    institution:            AORI (Atmosphere and Ocean Research Institute, Th...
    institute_id:           MIROC
    experiment_id:          piControl
    source:                 MIROC4h 2009 atmosphere: AGCM (AGCM5.8, T213L56);...
    model_id:               MIROC4h
    forcing:                N/A
    parent_experiment_id:   N/A
    parent_experiment_rip:  N/A
    branch_time:            0.0
    contact:                Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp), Masa...
    references:             Sakamoto et al., 2011: MIROC4h -- a new high-reso...
    initialization_method:  1
    physics_version:        1
    tracking_id:            2b1ef82e-1535-4a16-a164-3ba1f69dff04
    product:                output
    experiment:             pre-industrial control
    frequency:              mon
    creation_date:          2011-07-29T22:31:43Z
    history:                2011-07-29T22:31:43Z CMOR rewrote data to comply ...
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table LImon (11 April 2011) b51a5c08cdf6593edd03c...
    title:                  MIROC4h model output prepared for CMIP5 pre-indus...
    parent_experiment:      N/A
    modeling_realm:         landIce land
    realization:            1
    cmor_version:           2.5.8

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 320
- lon: 640
- time: 1200
Coordinates: (3)
- time
  (time)
  float64
  15.5 45.0 ... 3.645e+04 3.648e+04
  bounds :
  time_bnds
  units :
  days since 51-1-1
  calendar :
  noleap
  axis :
  T
  long_name :
  time
  standard_name :
  time
```
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 3.64235e+04, 3.64540e+04,
       3.64845e+04])
```
- lat
  (lat)
  float64
  -89.57 -89.01 ... 89.01 89.57
  bounds :
  lat_bnds
  units :
  degrees_north
  axis :
  Y
  long_name :
  latitude
  standard_name :
  latitude
```
array([-89.57009 , -89.013176, -88.452974, ...,  88.452974,  89.013176,
        89.57009 ])
```
- lon
  (lon)
  float64
  0.0 0.5625 1.125 ... 358.9 359.4
  bounds :
  lon_bnds
  units :
  degrees_east
  axis :
  X
  long_name :
  longitude
  standard_name :
  longitude
```
array([  0.    ,   0.5625,   1.125 , ..., 358.3125, 358.875 , 359.4375])
```

Data variables: (4)

time_bnds

(time, bnds)

float64

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

	Array	Chunk
Bytes	19.20 kB	1.92 kB
Shape	(1200, 2)	(120, 2)
Count	30 Tasks	10 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

dask.array<chunksize=(120, 320, 2), meta=np.ndarray>

	Array	Chunk
Bytes	6.14 MB	614.40 kB
Shape	(1200, 320, 2)	(120, 320, 2)
Count	40 Tasks	10 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

dask.array<chunksize=(120, 640, 2), meta=np.ndarray>

	Array	Chunk
Bytes	12.29 MB	1.23 MB
Shape	(1200, 640, 2)	(120, 640, 2)
Count	40 Tasks	10 Chunks
Type	float64	numpy.ndarray

snw

(time, lat, lon)

float32

dask.array<chunksize=(120, 320, 640), meta=np.ndarray>

standard_name :: surface_snow_amount
long_name :: Surface Snow Amount
comment :: Computed as the mass of surface snow on the land portion of the grid cell divided by the land area in the grid cell; reported as 0.0 where the land fraction is 0; excluded is snow on vegetation canopy or on sea ice.
units :: kg m-2
original_name :: GLSNW
original_units :: kg/m**2
history :: 2011-07-29T22:31:43Z altered by CMOR: Converted units from 'kg/m**2' to 'kg m-2'. 2011-07-29T22:31:43Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-07-29T22:31:43Z altered by CMOR: Inverted axis: lat.
cell_methods :: time: mean area: mean where land
cell_measures :: area: areacella
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_landIce_fx_MIROC4h_piControl_r0i0p0.nc areacella: areacella_fx_MIROC4h_piControl_r0i0p0.nc

	Array	Chunk
Bytes	983.04 MB	98.30 MB
Shape	(1200, 320, 640)	(120, 320, 640)
Count	30 Tasks	10 Chunks
Type	float32	numpy.ndarray

Attributes: (27)
institution :
AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), and JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)
institute_id :
MIROC
experiment_id :
piControl
source :
MIROC4h 2009 atmosphere: AGCM (AGCM5.8, T213L56); ocean: COCO (COCO3.4, rotated pole 1280x912 L48); sea ice: COCO (COCO3.4); land: MATSIRO (MATSIRO, 2x3L5)
model_id :
MIROC4h
forcing :
N/A
parent_experiment_id :
N/A
parent_experiment_rip :
N/A
branch_time :
0.0
contact :
Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp), Masayoshi Ishii (ism@jamstec.go.jp)
references :
Sakamoto et al., 2011: MIROC4h -- a new high-resolution atmosphere-ocean coupled general circulation model. (in preparation); Tatebe et al., 2011: (in preparation)
initialization_method :
1
physics_version :
1
tracking_id :
2b1ef82e-1535-4a16-a164-3ba1f69dff04
product :
output
experiment :
pre-industrial control
frequency :
mon
creation_date :
2011-07-29T22:31:43Z
history :
2011-07-29T22:31:43Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table LImon (11 April 2011) b51a5c08cdf6593edd03c7b1c311d305
title :
MIROC4h model output prepared for CMIP5 pre-industrial control
parent_experiment :
N/A
modeling_realm :
landIce land
realization :
1
cmor_version :
2.5.8