MRI-AGCM3-2H model output prepared for CMIP5 AMIP
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clt_Amon_MRI-AGCM3-2H_amip_r1i1p3.yaml")
ds=cat.netcdf.read()Metadata
| title | MRI-AGCM3-2H model output prepared for CMIP5 AMIP |
| location | /shared/cmip5/data/amip/atmos/mon/Amon/clt/MRI.MRI-AGCM3-2H/r1i1p3 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clt_Amon_MRI-AGCM3-2H_amip_r1i1p3.yaml |
| last updated | 2013-08-29 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 320, lon: 640, time: 360)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 1.088e+04 1.091e+04 1.094e+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>
clt (time, lat, lon) float32 dask.array<chunksize=(120, 320, 640), meta=np.ndarray>
Attributes:
institution: MRI (Meteorological Research Institute, Tsukuba, ...
institute_id: MRI
experiment_id: amip
source: MRI-AGCM3-2H 2009 (gsmuv-091102, TL319L64)
model_id: MRI-AGCM3-2H
forcing: GHG, Oz, SD, Vl, SS, BC, MD, OC
parent_experiment_id: N/A
parent_experiment_rip: N/A
branch_time: 0.0
contact: Tomoaki Ose (tomoaose@mri-jma.go.jp)
history: Output from /dias/groups/kakushin-a3-01-14/Global...
references: Model described by Mizuta et al. (Journal of the ...
initialization_method: 1
physics_version: 3
tracking_id: d9c15e02-7c80-42d0-9a38-daccfee0fd6c
product: output
experiment: AMIP
frequency: mon
creation_date: 2012-07-10T06:54:47Z
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Amon (27 April 2011) a5a1c518f52ae340313ba0...
title: MRI-AGCM3-2H model output prepared for CMIP5 AMIP
parent_experiment: N/A
modeling_realm: atmos
realization: 1
cmor_version: 2.7.1xarray.Dataset
- bnds: 2
- lat: 320
- lon: 640
- time: 360
- time(time)float6415.5 45.0 ... 1.091e+04 1.094e+04
- bounds :
- time_bnds
- units :
- days since 1979-01-01
- calendar :
- standard
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 15.5, 45. , 74.5, ..., 10881.5, 10912. , 10942.5])
- 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([-89.57 , -89.013, -88.453, ..., 88.453, 89.013, 89.57 ])
- lon(lon)float640.0 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])
- time_bnds(time, bnds)float64dask.array<chunksize=(120, 2), meta=np.ndarray>
Array Chunk Bytes 5.76 kB 1.92 kB Shape (360, 2) (120, 2) Count 9 Tasks 3 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(120, 320, 2), meta=np.ndarray>
Array Chunk Bytes 1.84 MB 614.40 kB Shape (360, 320, 2) (120, 320, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(120, 640, 2), meta=np.ndarray>
Array Chunk Bytes 3.69 MB 1.23 MB Shape (360, 640, 2) (120, 640, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - clt(time, lat, lon)float32dask.array<chunksize=(120, 320, 640), meta=np.ndarray>
- standard_name :
- cloud_area_fraction
- long_name :
- Total Cloud Fraction
- comment :
- for the whole atmospheric column, as seen from the surface or the top of the atmosphere. Include both large-scale and convective cloud.
- units :
- %
- original_name :
- TCLOUD
- cell_methods :
- time: mean
- cell_measures :
- area: areacella
- history :
- 2012-07-10T06:54:46Z 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-AGCM3-2H_amip_r0i0p0.nc areacella: areacella_fx_MRI-AGCM3-2H_amip_r0i0p0.nc
Array Chunk Bytes 294.91 MB 98.30 MB Shape (360, 320, 640) (120, 320, 640) Count 9 Tasks 3 Chunks Type float32 numpy.ndarray
- institution :
- MRI (Meteorological Research Institute, Tsukuba, Japan)
- institute_id :
- MRI
- experiment_id :
- amip
- source :
- MRI-AGCM3-2H 2009 (gsmuv-091102, TL319L64)
- model_id :
- MRI-AGCM3-2H
- forcing :
- GHG, Oz, SD, Vl, SS, BC, MD, OC
- parent_experiment_id :
- N/A
- parent_experiment_rip :
- N/A
- branch_time :
- 0.0
- contact :
- Tomoaki Ose (tomoaose@mri-jma.go.jp)
- history :
- Output from /dias/groups/kakushin-a3-01-14/Global/HPA_kf/sfc_avr_mon.ctl 2012-07-10T06:54:47Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- references :
- Model described by Mizuta et al. (Journal of the Meteorological Society of Japan, 2012)
- initialization_method :
- 1
- physics_version :
- 3
- tracking_id :
- d9c15e02-7c80-42d0-9a38-daccfee0fd6c
- product :
- output
- experiment :
- AMIP
- frequency :
- mon
- creation_date :
- 2012-07-10T06:54:47Z
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862
- title :
- MRI-AGCM3-2H model output prepared for CMIP5 AMIP
- parent_experiment :
- N/A
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.7.1