MRI-CGCM3 model output prepared for CMIP5 historical

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/psl_day_MRI-CGCM3_historical_r1i1p1.yaml")
ds=cat.netcdf.read()

Metadata

title	MRI-CGCM3 model output prepared for CMIP5 historical
location	/shared/cmip5/data/historical/atmos/day/day/psl/MRI.MRI-CGCM3/r1i1p1
tags	gridded,global,model,daily
catalog_dir	https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/psl_day_MRI-CGCM3_historical_r1i1p1.yaml
last updated	2013-06-14

Dataset Contents

<xarray.Dataset>
Dimensions:    (bnds: 2, lat: 160, lon: 320, time: 38716)
Coordinates:
  * time       (time) float64 1.826e+04 1.826e+04 ... 5.698e+04 5.698e+04
  * lat        (lat) float64 -89.14 -88.03 -86.91 -85.79 ... 86.91 88.03 89.14
  * lon        (lon) float64 0.0 1.125 2.25 3.375 ... 355.5 356.6 357.8 358.9
Dimensions without coordinates: bnds
Data variables:
    time_bnds  (time, bnds) float64 dask.array<chunksize=(3652, 2), meta=np.ndarray>
    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(3652, 160, 2), meta=np.ndarray>
    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(3652, 320, 2), meta=np.ndarray>
    psl        (time, lat, lon) float32 dask.array<chunksize=(3652, 160, 320), meta=np.ndarray>
Attributes:
    institution:            MRI (Meteorological Research Institute, Tsukuba, ...
    institute_id:           MRI
    experiment_id:          historical
    source:                 MRI-CGCM3 2011 atmosphere: GSMUV (gsmuv-110112, T...
    model_id:               MRI-CGCM3
    forcing:                GHG, SA, Oz, LU, Sl, Vl, BC, OC (GHG includes CO2...
    parent_experiment_id:   piControl
    parent_experiment_rip:  r1i1p1
    branch_time:            36159.0
    contact:                Seiji Yukimoto (yukimoto@mri-jma.go.jp)
    history:                Output from /sharex2/cmip5/historical/run-C3_hist...
    references:             Model described by Yukimoto et al. (Technical Rep...
    initialization_method:  1
    physics_version:        1
    tracking_id:            b8af3284-bd6a-43a6-8fdd-b981031fcdf0
    product:                output
    experiment:             historical
    frequency:              day
    creation_date:          2011-05-02T06:35:39Z
    Conventions:            CF-1.4
    project_id:             CMIP5
    table_id:               Table day (27 April 2011) 86d1558d99b6ed1e7a886ab...
    title:                  MRI-CGCM3 model output prepared for CMIP5 historical
    parent_experiment:      pre-industrial control
    modeling_realm:         atmos
    realization:            1
    cmor_version:           2.5.9

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 160
- lon: 320
- time: 38716

Coordinates: (3)

time
(time)
float64
1.826e+04 1.826e+04 ... 5.698e+04
bounds :
time_bnds
units :
days since 1850-01-01
calendar :
standard
axis :
T
long_name :
time
standard_name :
time
```
array([18262.5, 18263.5, 18264.5, ..., 56975.5, 56976.5, 56977.5])
```

lat

(lat)

float64

-89.14 -88.03 ... 88.03 89.14

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

array([-89.14152, -88.02943, -86.91077, -85.79063, -84.66992, -83.54895,
       -82.42782, -81.30659, -80.18531, -79.06398, -77.94262, -76.82124,
       -75.69984, -74.57843, -73.45701, -72.33558, -71.21414, -70.09269,
       -68.97124, -67.84978, -66.72833, -65.60686, -64.4854 , -63.36393,
       -62.24246, -61.12099, -59.99952, -58.87804, -57.75657, -56.63509,
       -55.51361, -54.39214, -53.27066, -52.14917, -51.02769, -49.90621,
       -48.78473, -47.66325, -46.54176, -45.42028, -44.29879, -43.17731,
       -42.05582, -40.93434, -39.81285, -38.69137, -37.56988, -36.44839,
       -35.32691, -34.20542, -33.08393, -31.96244, -30.84096, -29.71947,
       -28.59798, -27.47649, -26.355  , -25.23351, -24.11203, -22.99054,
       -21.86905, -20.74756, -19.62607, -18.50458, -17.38309, -16.2616 ,
       -15.14011, -14.01862, -12.89713, -11.77564, -10.65415,  -9.53266,
        -8.41117,  -7.28968,  -6.16819,  -5.0467 ,  -3.92521,  -2.80372,
        -1.68223,  -0.56074,   0.56074,   1.68223,   2.80372,   3.92521,
         5.0467 ,   6.16819,   7.28968,   8.41117,   9.53266,  10.65415,
        11.77564,  12.89713,  14.01862,  15.14011,  16.2616 ,  17.38309,
        18.50458,  19.62607,  20.74756,  21.86905,  22.99054,  24.11203,
        25.23351,  26.355  ,  27.47649,  28.59798,  29.71947,  30.84096,
        31.96244,  33.08393,  34.20542,  35.32691,  36.44839,  37.56988,
        38.69137,  39.81285,  40.93434,  42.05582,  43.17731,  44.29879,
        45.42028,  46.54176,  47.66325,  48.78473,  49.90621,  51.02769,
        52.14917,  53.27066,  54.39214,  55.51361,  56.63509,  57.75657,
        58.87804,  59.99952,  61.12099,  62.24246,  63.36393,  64.4854 ,
        65.60686,  66.72833,  67.84978,  68.97124,  70.09269,  71.21414,
        72.33558,  73.45701,  74.57843,  75.69984,  76.82124,  77.94262,
        79.06398,  80.18531,  81.30659,  82.42782,  83.54895,  84.66992,
        85.79063,  86.91077,  88.02943,  89.14152])

lon
(lon)
float64
0.0 1.125 2.25 ... 357.8 358.9
bounds :
lon_bnds
units :
degrees_east
axis :
X
long_name :
longitude
standard_name :
longitude
```
array([  0.   ,   1.125,   2.25 , ..., 356.625, 357.75 , 358.875])
```

Data variables: (4)

time_bnds

(time, bnds)

float64

dask.array<chunksize=(3652, 2), meta=np.ndarray>

	Array	Chunk
Bytes	619.46 kB	58.45 kB
Shape	(38716, 2)	(3653, 2)
Count	33 Tasks	11 Chunks
Type	float64	numpy.ndarray

lat_bnds

(time, lat, bnds)

float64

dask.array<chunksize=(3652, 160, 2), meta=np.ndarray>

	Array	Chunk
Bytes	99.11 MB	9.35 MB
Shape	(38716, 160, 2)	(3653, 160, 2)
Count	44 Tasks	11 Chunks
Type	float64	numpy.ndarray

lon_bnds

(time, lon, bnds)

float64

dask.array<chunksize=(3652, 320, 2), meta=np.ndarray>

	Array	Chunk
Bytes	198.23 MB	18.70 MB
Shape	(38716, 320, 2)	(3653, 320, 2)
Count	44 Tasks	11 Chunks
Type	float64	numpy.ndarray

psl

(time, lat, lon)

float32

dask.array<chunksize=(3652, 160, 320), meta=np.ndarray>

standard_name :: air_pressure_at_sea_level
long_name :: Sea Level Pressure
units :: Pa
original_name :: SLP
cell_methods :: time: mean (interval: 30 minutes)
cell_measures :: area: areacella
history :: 2011-05-02T06:35:39Z altered by CMOR: replaced missing value flag (-9.99e+33) with standard missing value (1e+20).
associated_files :: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MRI-CGCM3_historical_r0i0p0.nc areacella: areacella_fx_MRI-CGCM3_historical_r0i0p0.nc

	Array	Chunk
Bytes	7.93 GB	748.13 MB
Shape	(38716, 160, 320)	(3653, 160, 320)
Count	33 Tasks	11 Chunks
Type	float32	numpy.ndarray

Attributes: (27)
institution :
MRI (Meteorological Research Institute, Tsukuba, Japan)
institute_id :
MRI
experiment_id :
historical
source :
MRI-CGCM3 2011 atmosphere: GSMUV (gsmuv-110112, TL159L48); ocean: MRI.COM3 (MRICOM-3_0-20101116, 1x0.5L51); sea ice: MRI.COM3; land: HAL (HAL_cmip5_v0.31_04); aerosol: MASINGAR-mk2 (masingar_mk2-20110111_0203, TL95L48)
model_id :
MRI-CGCM3
forcing :
GHG, SA, Oz, LU, Sl, Vl, BC, OC (GHG includes CO2, CH4, N2O, CFC-11, CFC-12, and HCFC-22)
parent_experiment_id :
piControl
parent_experiment_rip :
r1i1p1
branch_time :
36159.0
contact :
Seiji Yukimoto (yukimoto@mri-jma.go.jp)
history :
Output from /sharex2/cmip5/historical/run-C3_historical01/grads/sfc_avr_day.ctl 2011-05-02T06:35:39Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
references :
Model described by Yukimoto et al. (Technical Report of the Meteorological Research Institute, 2011, 64, 83pp.)
initialization_method :
1
physics_version :
1
tracking_id :
b8af3284-bd6a-43a6-8fdd-b981031fcdf0
product :
output
experiment :
historical
frequency :
day
creation_date :
2011-05-02T06:35:39Z
Conventions :
CF-1.4
project_id :
CMIP5
table_id :
Table day (27 April 2011) 86d1558d99b6ed1e7a886ab3fd717b58
title :
MRI-CGCM3 model output prepared for CMIP5 historical
parent_experiment :
pre-industrial control
modeling_realm :
atmos
realization :
1
cmor_version :
2.5.9