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/prsn_day_MIROC4h_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | MIROC4h model output prepared for CMIP5 pre-industrial control |
| location | /shared/cmip5/data/piControl/atmos/day/day/prsn/MIROC.MIROC4h/r1i1p1 |
| tags | gridded,global,model,daily |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/prsn_day_MIROC4h_piControl_r1i1p1.yaml |
| last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 320, lon: 640, time: 10950)
Coordinates:
* time (time) float64 2.555e+04 2.555e+04 ... 3.65e+04 3.65e+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=(365, 2), meta=np.ndarray>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(365, 320, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(365, 640, 2), meta=np.ndarray>
prsn (time, lat, lon) float32 dask.array<chunksize=(365, 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: a66ae2ca-60af-4d31-b3dc-de375cf407fa
product: output
experiment: pre-industrial control
frequency: day
creation_date: 2011-08-21T15:44:51Z
history: 2011-08-21T15:44:51Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table day (11 April 2011) ec52f6ea2595168e5458ad1...
title: MIROC4h model output prepared for CMIP5 pre-indus...
parent_experiment: N/A
modeling_realm: atmos
realization: 1
cmor_version: 2.5.8xarray.Dataset
- bnds: 2
- lat: 320
- lon: 640
- time: 10950
- time(time)float642.555e+04 2.555e+04 ... 3.65e+04
- bounds :
- time_bnds
- units :
- days since 51-1-1
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([25550.5, 25551.5, 25552.5, ..., 36497.5, 36498.5, 36499.5])
- 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=(365, 2), meta=np.ndarray>
Array Chunk Bytes 175.20 kB 5.84 kB Shape (10950, 2) (365, 2) Count 90 Tasks 30 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(365, 320, 2), meta=np.ndarray>
Array Chunk Bytes 56.06 MB 1.87 MB Shape (10950, 320, 2) (365, 320, 2) Count 120 Tasks 30 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(365, 640, 2), meta=np.ndarray>
Array Chunk Bytes 112.13 MB 3.74 MB Shape (10950, 640, 2) (365, 640, 2) Count 120 Tasks 30 Chunks Type float64 numpy.ndarray - prsn(time, lat, lon)float32dask.array<chunksize=(365, 320, 640), meta=np.ndarray>
- standard_name :
- snowfall_flux
- long_name :
- Solid Precipitation
- comment :
- at surface; includes precipitation of all forms of water in the solid phase
- units :
- kg m-2 s-1
- original_name :
- SNFAL
- original_units :
- kg/m**2/s
- history :
- 2011-08-21T15:44:51Z altered by CMOR: Converted units from 'kg/m**2/s' to 'kg m-2 s-1'. 2011-08-21T15:44:51Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-08-21T15:44:51Z altered by CMOR: Inverted axis: lat.
- cell_methods :
- time: mean
- cell_measures :
- area: areacella
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC4h_piControl_r0i0p0.nc areacella: areacella_fx_MIROC4h_piControl_r0i0p0.nc
Array Chunk Bytes 8.97 GB 299.01 MB Shape (10950, 320, 640) (365, 320, 640) Count 90 Tasks 30 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 :
- 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 :
- a66ae2ca-60af-4d31-b3dc-de375cf407fa
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- day
- creation_date :
- 2011-08-21T15:44:51Z
- history :
- 2011-08-21T15:44:51Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table day (11 April 2011) ec52f6ea2595168e5458ad1b950fd49c
- title :
- MIROC4h model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.5.8