MIROC5 model output prepared for CMIP5 10- or 30-year run initialized in year 1980
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/snd_OImon_MIROC5_decadal1980_r4i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | MIROC5 model output prepared for CMIP5 10- or 30-year run initialized in year 1980 |
| location | /shared/cmip5/data/decadal1980/seaIce/mon/OImon/snd/MIROC.MIROC5/r4i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/snd_OImon_MIROC5_decadal1980_r4i1p1.yaml |
| last updated | 2013-05-26 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, rlat: 224, rlon: 256, time: 360, vertices: 4)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 1.091e+04 1.094e+04
* rlat (rlat) float64 -88.08 -85.91 -85.41 ... 85.41 85.91 88.08
* rlon (rlon) float64 -0.7031 0.7031 2.109 ... 355.1 356.5 357.9
lat (rlat, rlon) float32 dask.array<chunksize=(224, 256), meta=np.ndarray>
lon (rlat, rlon) float32 dask.array<chunksize=(224, 256), meta=np.ndarray>
Dimensions without coordinates: bnds, vertices
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(120, 2), meta=np.ndarray>
rlat_bnds (time, rlat, bnds) float64 dask.array<chunksize=(120, 224, 2), meta=np.ndarray>
rlon_bnds (time, rlon, bnds) float64 dask.array<chunksize=(120, 256, 2), meta=np.ndarray>
lat_vertices (time, rlat, rlon, vertices) float32 dask.array<chunksize=(120, 224, 256, 4), meta=np.ndarray>
lon_vertices (time, rlat, rlon, vertices) float32 dask.array<chunksize=(120, 224, 256, 4), meta=np.ndarray>
snd (time, rlat, rlon) float32 dask.array<chunksize=(120, 224, 256), meta=np.ndarray>
Attributes:
institution: AORI (Atmosphere and Ocean Research Institute, Th...
institute_id: MIROC
experiment_id: decadal1980
source: MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...
model_id: MIROC5
forcing: GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...
parent_experiment_id: N/A
parent_experiment_rip: N/A
branch_time: 0.0
contact: Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seit...
references: Watanabe et al., 2010: Improved climate simulatio...
initialization_method: 1
physics_version: 1
tracking_id: df646edb-eda9-439d-8338-0d10c9723281
product: output
experiment: 10- or 30-year run initialized in year 1980
frequency: mon
creation_date: 2011-07-25T13:13:14Z
history: 2011-07-25T13:13:14Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table OImon (27 April 2011) f04ba250f3acd5b9e847c...
title: MIROC5 model output prepared for CMIP5 10- or 30-...
parent_experiment: N/A
modeling_realm: seaIce
realization: 4
cmor_version: 2.7.1xarray.Dataset
- bnds: 2
- rlat: 224
- rlon: 256
- time: 360
- vertices: 4
- time(time)float6415.5 45.0 ... 1.091e+04 1.094e+04
- bounds :
- time_bnds
- units :
- days since 1981-1-1
- calendar :
- gregorian
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 15.5, 45. , 74.5, ..., 10880.5, 10911. , 10941.5])
- rlat(rlat)float64-88.08 -85.91 ... 85.91 88.08
- bounds :
- rlat_bnds
- units :
- degrees
- axis :
- Y
- long_name :
- latitude in rotated pole grid
- standard_name :
- grid_latitude
array([-88.081279, -85.912558, -85.412558, ..., 85.412558, 85.912558, 88.081279]) - rlon(rlon)float64-0.7031 0.7031 ... 356.5 357.9
- bounds :
- rlon_bnds
- units :
- degrees
- axis :
- X
- long_name :
- longitude in rotated pole grid
- standard_name :
- grid_longitude
array([ -0.703125, 0.703125, 2.109375, ..., 355.078125, 356.484375, 357.890625]) - lat(rlat, rlon)float32dask.array<chunksize=(224, 256), meta=np.ndarray>
- standard_name :
- latitude
- long_name :
- latitude coordinate
- units :
- degrees_north
- bounds :
- lat_vertices
Array Chunk Bytes 229.38 kB 229.38 kB Shape (224, 256) (224, 256) Count 10 Tasks 1 Chunks Type float32 numpy.ndarray - lon(rlat, rlon)float32dask.array<chunksize=(224, 256), meta=np.ndarray>
- standard_name :
- longitude
- long_name :
- longitude coordinate
- units :
- degrees_east
- bounds :
- lon_vertices
Array Chunk Bytes 229.38 kB 229.38 kB Shape (224, 256) (224, 256) Count 10 Tasks 1 Chunks Type float32 numpy.ndarray
- 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 - rlat_bnds(time, rlat, bnds)float64dask.array<chunksize=(120, 224, 2), meta=np.ndarray>
Array Chunk Bytes 1.29 MB 430.08 kB Shape (360, 224, 2) (120, 224, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - rlon_bnds(time, rlon, bnds)float64dask.array<chunksize=(120, 256, 2), meta=np.ndarray>
Array Chunk Bytes 1.47 MB 491.52 kB Shape (360, 256, 2) (120, 256, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - lat_vertices(time, rlat, rlon, vertices)float32dask.array<chunksize=(120, 224, 256, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 330.30 MB 110.10 MB Shape (360, 224, 256, 4) (120, 224, 256, 4) Count 12 Tasks 3 Chunks Type float32 numpy.ndarray - lon_vertices(time, rlat, rlon, vertices)float32dask.array<chunksize=(120, 224, 256, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 330.30 MB 110.10 MB Shape (360, 224, 256, 4) (120, 224, 256, 4) Count 12 Tasks 3 Chunks Type float32 numpy.ndarray - snd(time, rlat, rlon)float32dask.array<chunksize=(120, 224, 256), meta=np.ndarray>
- standard_name :
- surface_snow_thickness
- long_name :
- Snow Depth
- comment :
- the mean thickness of snow in the ocean portion of the grid cell (averaging over the entire ocean portion, including the snow-free ocean fraction). Reported as 0.0 in regions free of snow-covered sea ice.
- units :
- m
- original_name :
- HSG
- original_units :
- cm
- history :
- 2011-07-25T13:13:14Z altered by CMOR: Converted units from 'cm' to 'm'. 2011-07-25T13:13:14Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20).
- cell_methods :
- time: mean area: mean where sea
- cell_measures :
- area: areacello
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_seaIce_fx_MIROC5_decadal1980_r0i0p0.nc areacello: areacello_fx_MIROC5_decadal1980_r0i0p0.nc
Array Chunk Bytes 82.58 MB 27.53 MB Shape (360, 224, 256) (120, 224, 256) 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), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)
- institute_id :
- MIROC
- experiment_id :
- decadal1980
- source :
- MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)
- model_id :
- MIROC5
- forcing :
- GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)
- parent_experiment_id :
- N/A
- parent_experiment_rip :
- N/A
- branch_time :
- 0.0
- contact :
- Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)
- references :
- Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335; Tatebe et al. (2011, in preparation)
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- df646edb-eda9-439d-8338-0d10c9723281
- product :
- output
- experiment :
- 10- or 30-year run initialized in year 1980
- frequency :
- mon
- creation_date :
- 2011-07-25T13:13:14Z
- history :
- 2011-07-25T13:13:14Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table OImon (27 April 2011) f04ba250f3acd5b9e847c21d5752eb85
- title :
- MIROC5 model output prepared for CMIP5 10- or 30-year run initialized in year 1980
- parent_experiment :
- N/A
- modeling_realm :
- seaIce
- realization :
- 4
- cmor_version :
- 2.7.1