MRI-CGCM3 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/tos_day_MRI-CGCM3_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | MRI-CGCM3 model output prepared for CMIP5 pre-industrial control |
| location | /shared/cmip5/data/piControl/ocean/day/day/tos/MRI.MRI-CGCM3/r1i1p1 |
| tags | gridded,global,model,daily |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_day_MRI-CGCM3_piControl_r1i1p1.yaml |
| last updated | 2013-05-26 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, rlat: 368, rlon: 360, time: 40176, vertices: 4)
Coordinates:
* time (time) float64 1.424e+05 1.424e+05 ... 1.826e+05 1.826e+05
* rlat (rlat) float64 -78.5 -78.0 -77.5 -77.0 ... 154.0 155.1 156.2
* rlon (rlon) float64 0.0 1.0 2.0 3.0 4.0 ... 356.0 357.0 358.0 359.0
lat (rlat, rlon) float32 dask.array<chunksize=(368, 360), meta=np.ndarray>
lon (rlat, rlon) float32 dask.array<chunksize=(368, 360), meta=np.ndarray>
Dimensions without coordinates: bnds, vertices
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(3652, 2), meta=np.ndarray>
lat_vertices (time, rlat, rlon, vertices) float32 dask.array<chunksize=(3652, 368, 360, 4), meta=np.ndarray>
lon_vertices (time, rlat, rlon, vertices) float32 dask.array<chunksize=(3652, 368, 360, 4), meta=np.ndarray>
tos (time, rlat, rlon) float32 dask.array<chunksize=(3652, 368, 360), meta=np.ndarray>
Attributes:
institution: MRI (Meteorological Research Institute, Tsukuba, ...
institute_id: MRI
experiment_id: piControl
source: MRI-CGCM3 2011 atmosphere: GSMUV (gsmuv-101124, T...
model_id: MRI-CGCM3
forcing: N/A
parent_experiment_id: N/A
parent_experiment_rip: N/A
branch_time: 0.0
contact: Seiji Yukimoto (yukimoto@mri-jma.go.jp)
history: Output from /home/cmip5/oc/cgcm3_scup-101122/run-...
references: Model described by Yukimoto et al. (Technical Rep...
initialization_method: 1
physics_version: 1
tracking_id: 9c321f3b-0782-4231-85fb-1b8434bebc9b
product: output
experiment: pre-industrial control
frequency: day
creation_date: 2011-08-30T03:44:46Z
Conventions: CF-1.4
project_id: CMIP5
table_id: Table day (26 July 2011) f21c16b785432e6bd3f72e80...
title: MRI-CGCM3 model output prepared for CMIP5 pre-ind...
parent_experiment: N/A
modeling_realm: ocean
realization: 1
cmor_version: 2.7.1xarray.Dataset
- bnds: 2
- rlat: 368
- rlon: 360
- time: 40176
- vertices: 4
- time(time)float641.424e+05 1.424e+05 ... 1.826e+05
- bounds :
- time_bnds
- units :
- days since 1851-01-01
- calendar :
- standard
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([142445.5, 142446.5, 142447.5, ..., 182618.5, 182619.5, 182620.5])
- rlat(rlat)float64-78.5 -78.0 -77.5 ... 155.1 156.2
- units :
- degrees
- axis :
- Y
- long_name :
- latitude in rotated pole grid
- standard_name :
- grid_latitude
array([-78.5 , -78. , -77.5 , ..., 154. , 155.125, 156.25 ])
- rlon(rlon)float640.0 1.0 2.0 ... 357.0 358.0 359.0
- units :
- degrees
- axis :
- X
- long_name :
- longitude in rotated pole grid
- standard_name :
- grid_longitude
array([ 0., 1., 2., ..., 357., 358., 359.])
- lat(rlat, rlon)float32dask.array<chunksize=(368, 360), meta=np.ndarray>
- standard_name :
- latitude
- long_name :
- latitude coordinate
- units :
- degrees_north
- bounds :
- lat_vertices
Array Chunk Bytes 529.92 kB 529.92 kB Shape (368, 360) (368, 360) Count 50 Tasks 1 Chunks Type float32 numpy.ndarray - lon(rlat, rlon)float32dask.array<chunksize=(368, 360), meta=np.ndarray>
- standard_name :
- longitude
- long_name :
- longitude coordinate
- units :
- degrees_east
- bounds :
- lon_vertices
Array Chunk Bytes 529.92 kB 529.92 kB Shape (368, 360) (368, 360) Count 50 Tasks 1 Chunks Type float32 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(3652, 2), meta=np.ndarray>
Array Chunk Bytes 642.82 kB 58.45 kB Shape (40176, 2) (3653, 2) Count 33 Tasks 11 Chunks Type float64 numpy.ndarray - lat_vertices(time, rlat, rlon, vertices)float32dask.array<chunksize=(3652, 368, 360, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 85.16 GB 7.74 GB Shape (40176, 368, 360, 4) (3653, 368, 360, 4) Count 44 Tasks 11 Chunks Type float32 numpy.ndarray - lon_vertices(time, rlat, rlon, vertices)float32dask.array<chunksize=(3652, 368, 360, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 85.16 GB 7.74 GB Shape (40176, 368, 360, 4) (3653, 368, 360, 4) Count 44 Tasks 11 Chunks Type float32 numpy.ndarray - tos(time, rlat, rlon)float32dask.array<chunksize=(3652, 368, 360), meta=np.ndarray>
- standard_name :
- surface_temperature
- long_name :
- Sea Surface Temperature
- comment :
- temperature of liquid ocean. Note that the correct standard_name for this variable is ""sea_surface_temperature"", not ""surface_temperature"", but this was discovered too late to correct. To maintain consistency across CMIP5 models, the wrong standard_name will continue to be used.
- units :
- K
- original_name :
- tos
- cell_methods :
- time: mean (interval: 20 minutes)
- cell_measures :
- area: areacello
- history :
- 2011-08-30T03:44:46Z 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_ocean_fx_MRI-CGCM3_piControl_r0i0p0.nc areacello: areacello_fx_MRI-CGCM3_piControl_r0i0p0.nc
Array Chunk Bytes 21.29 GB 1.94 GB Shape (40176, 368, 360) (3653, 368, 360) Count 33 Tasks 11 Chunks Type float32 numpy.ndarray
- institution :
- MRI (Meteorological Research Institute, Tsukuba, Japan)
- institute_id :
- MRI
- experiment_id :
- piControl
- 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 :
- N/A
- parent_experiment_id :
- N/A
- parent_experiment_rip :
- N/A
- branch_time :
- 0.0
- contact :
- Seiji Yukimoto (yukimoto@mri-jma.go.jp)
- history :
- Output from /home/cmip5/oc/cgcm3_scup-101122/run-C_piControl02/grads/cmip5_daily_tos.ctl 2011-08-30T03:44:46Z 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 :
- 1
- tracking_id :
- 9c321f3b-0782-4231-85fb-1b8434bebc9b
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- day
- creation_date :
- 2011-08-30T03:44:46Z
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table day (26 July 2011) f21c16b785432e6bd3f72e80f2cade49
- title :
- MRI-CGCM3 model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- ocean
- realization :
- 1
- cmor_version :
- 2.7.1