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/hus_Amon_MRI-CGCM3_historical_r5i1p2.yaml")
ds=cat.netcdf.read()Metadata
| title | MRI-CGCM3 model output prepared for CMIP5 historical |
| location | /shared/cmip5/data/historical/atmos/mon/Amon/hus/MRI.MRI-CGCM3/r5i1p2 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/hus_Amon_MRI-CGCM3_historical_r5i1p2.yaml |
| last updated | 2017-07-11 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 160, lon: 320, plev: 23, time: 1872)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 5.69e+04 5.693e+04 5.696e+04
* plev (plev) float64 1e+05 9.25e+04 8.5e+04 7e+04 ... 200.0 100.0 40.0
* 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=(120, 2), meta=np.ndarray>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(120, 160, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(120, 320, 2), meta=np.ndarray>
hus (time, plev, lat, lon) float32 dask.array<chunksize=(120, 23, 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-101124, 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: 25201.0
contact: Seiji Yukimoto (yukimoto@mri-jma.go.jp)
history: Output from /sharex2/cmip5/historical/run-C_histo...
references: Model described by Yukimoto et al. (Technical Rep...
initialization_method: 1
physics_version: 2
tracking_id: e731b483-a5e2-45f2-8400-a1c97a28c35e
product: output
experiment: historical
frequency: mon
creation_date: 2011-05-19T05:44:41Z
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Amon (27 April 2011) a5a1c518f52ae340313ba0...
title: MRI-CGCM3 model output prepared for CMIP5 historical
parent_experiment: pre-industrial control
modeling_realm: atmos
realization: 5
cmor_version: 2.5.9xarray.Dataset
- bnds: 2
- lat: 160
- lon: 320
- plev: 23
- time: 1872
- time(time)float6415.5 45.0 ... 5.693e+04 5.696e+04
- bounds :
- time_bnds
- units :
- days since 1850-01-01
- calendar :
- standard
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 5.69015e+04, 5.69320e+04, 5.69625e+04]) - plev(plev)float641e+05 9.25e+04 ... 100.0 40.0
- units :
- Pa
- axis :
- Z
- positive :
- down
- long_name :
- pressure
- standard_name :
- air_pressure
array([1.00e+05, 9.25e+04, 8.50e+04, 7.00e+04, 6.00e+04, 5.00e+04, 4.00e+04, 3.00e+04, 2.50e+04, 2.00e+04, 1.50e+04, 1.00e+04, 7.00e+03, 5.00e+03, 3.00e+03, 2.00e+03, 1.00e+03, 7.00e+02, 5.00e+02, 3.00e+02, 2.00e+02, 1.00e+02, 4.00e+01]) - 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)float640.0 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])
- time_bnds(time, bnds)float64dask.array<chunksize=(120, 2), meta=np.ndarray>
Array Chunk Bytes 29.95 kB 1.92 kB Shape (1872, 2) (120, 2) Count 48 Tasks 16 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(120, 160, 2), meta=np.ndarray>
Array Chunk Bytes 4.79 MB 307.20 kB Shape (1872, 160, 2) (120, 160, 2) Count 64 Tasks 16 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(120, 320, 2), meta=np.ndarray>
Array Chunk Bytes 9.58 MB 614.40 kB Shape (1872, 320, 2) (120, 320, 2) Count 64 Tasks 16 Chunks Type float64 numpy.ndarray - hus(time, plev, lat, lon)float32dask.array<chunksize=(120, 23, 160, 320), meta=np.ndarray>
- standard_name :
- specific_humidity
- long_name :
- Specific Humidity
- units :
- 1
- original_name :
- Q
- cell_methods :
- time: mean (interval: 30 minutes)
- cell_measures :
- area: areacella
- history :
- 2011-05-19T05:44:40Z 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 8.82 GB 565.25 MB Shape (1872, 23, 160, 320) (120, 23, 160, 320) Count 48 Tasks 16 Chunks Type float32 numpy.ndarray
- institution :
- MRI (Meteorological Research Institute, Tsukuba, Japan)
- institute_id :
- MRI
- experiment_id :
- historical
- source :
- MRI-CGCM3 2011 atmosphere: GSMUV (gsmuv-101124, TL159L48); ocean: MRI.COM3 (MRICOM-3_0-20101116, 1x0.5L51); sea ice: MRI.COM3; land: HAL (HAL_cmip5_v0.31_01); aerosol: MASINGAR-mk2 (masingar_mk2-20101111, 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 :
- 25201.0
- contact :
- Seiji Yukimoto (yukimoto@mri-jma.go.jp)
- history :
- Output from /sharex2/cmip5/historical/run-C_historical02/grads/atm_avr_mon.ctl 2011-05-19T05:44:41Z 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 :
- 2
- tracking_id :
- e731b483-a5e2-45f2-8400-a1c97a28c35e
- product :
- output
- experiment :
- historical
- frequency :
- mon
- creation_date :
- 2011-05-19T05:44:41Z
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862
- title :
- MRI-CGCM3 model output prepared for CMIP5 historical
- parent_experiment :
- pre-industrial control
- modeling_realm :
- atmos
- realization :
- 5
- cmor_version :
- 2.5.9