MIROC4h model output prepared for CMIP5 RCP4.5
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tauv_Amon_MIROC4h_rcp45_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | MIROC4h model output prepared for CMIP5 RCP4.5 |
| location | /shared/cmip5/data/rcp45/atmos/mon/Amon/tauv/MIROC.MIROC4h/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tauv_Amon_MIROC4h_rcp45_r1i1p1.yaml |
| last updated | 2013-05-28 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 320, lon: 640, time: 360)
Coordinates:
* time (time) float64 2.047e+04 2.05e+04 ... 3.136e+04 3.14e+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>
tauv (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: rcp45
source: MIROC4h 2009 atmosphere: AGCM (AGCM5.8, T213L56);...
model_id: MIROC4h
forcing: GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...
parent_experiment_id: historical
parent_experiment_rip: r1i1p1
branch_time: 35054.0
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: 6e5ffc68-e1f0-456c-8ddd-fc1919ccad2a
product: output
experiment: RCP4.5
frequency: mon
creation_date: 2011-07-22T16:21:51Z
history: 2011-07-22T16:21:51Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Amon (11 April 2011) 1cfdc7322cf2f4a3261482...
title: MIROC4h model output prepared for CMIP5 RCP4.5
parent_experiment: historical
modeling_realm: atmos
realization: 1
cmor_version: 2.5.8xarray.Dataset
- bnds: 2
- lat: 320
- lon: 640
- time: 360
- time(time)float642.047e+04 2.05e+04 ... 3.14e+04
- bounds :
- time_bnds
- units :
- days since 1950-1-1
- calendar :
- gregorian
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([20469.5, 20499. , 20528.5, ..., 31334.5, 31365. , 31395.5])
- 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([-89.57009 , -89.013176, -88.452974, ..., 88.452974, 89.013176, 89.57009 ]) - 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 - tauv(time, lat, lon)float32dask.array<chunksize=(120, 320, 640), meta=np.ndarray>
- standard_name :
- surface_downward_northward_stress
- long_name :
- Surface Downward Northward Wind Stress
- units :
- Pa
- original_name :
- TAUY
- original_units :
- N/m**2
- history :
- 2011-07-22T16:21:51Z altered by CMOR: Converted units from 'N/m**2' to 'Pa'. 2011-07-22T16:21:51Z altered by CMOR: Changed sign. 2011-07-22T16:21:51Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-07-22T16:21:51Z altered by CMOR: Inverted axis: lat.
- cell_methods :
- time: mean
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC4h_rcp45_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 :
- 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 :
- rcp45
- 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 :
- GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2)
- parent_experiment_id :
- historical
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 35054.0
- 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 :
- 6e5ffc68-e1f0-456c-8ddd-fc1919ccad2a
- product :
- output
- experiment :
- RCP4.5
- frequency :
- mon
- creation_date :
- 2011-07-22T16:21:51Z
- history :
- 2011-07-22T16:21:51Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (11 April 2011) 1cfdc7322cf2f4a32614826fab42c1ab
- title :
- MIROC4h model output prepared for CMIP5 RCP4.5
- parent_experiment :
- historical
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.5.8