MIROC5 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/msftmyz_Omon_MIROC5_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | MIROC5 model output prepared for CMIP5 pre-industrial control |
| location | /shared/cmip5/data/piControl/ocean/mon/Omon/msftmyz/MIROC.MIROC5/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/msftmyz_Omon_MIROC5_piControl_r1i1p1.yaml |
| last updated | 2015-01-20 |
Dataset Contents
<xarray.Dataset>
Dimensions: (basin: 3, bnds: 2, lat: 180, lev: 50, time: 8040)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 2.445e+05 2.445e+05 2.445e+05
region (basin) |S21 dask.array<chunksize=(3,), meta=np.ndarray>
* lev (lev) float64 0.0 2.5 5.0 10.0 ... 5e+03 5.25e+03 5.5e+03
* lat (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5
Dimensions without coordinates: basin, bnds
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(1200, 2), meta=np.ndarray>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(1200, 50, 2), meta=np.ndarray>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(1200, 180, 2), meta=np.ndarray>
msftmyz (time, basin, lev, lat) float32 dask.array<chunksize=(1200, 3, 50, 180), meta=np.ndarray>
Attributes:
institution: AORI (Atmosphere and Ocean Research Institute, Th...
institute_id: MIROC
experiment_id: piControl
source: MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...
model_id: MIROC5
forcing: N/A
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: 08de6b5c-4b04-4706-806e-9d2d24188712
product: output
experiment: pre-industrial control
frequency: mon
creation_date: 2013-09-10T06:30:54Z
history: 2013-09-10T06:30:54Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Omon (26 July 2011) 25bb94a0408beca44c0f5b6...
title: MIROC5 model output prepared for CMIP5 pre-indust...
parent_experiment: N/A
modeling_realm: ocean
realization: 1
cmor_version: 2.7.1xarray.Dataset
- basin: 3
- bnds: 2
- lat: 180
- lev: 50
- time: 8040
- time(time)float6415.5 45.0 ... 2.445e+05 2.445e+05
- bounds :
- time_bnds
- units :
- days since 2000-1-1
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.550000e+01, 4.500000e+01, 7.450000e+01, ..., 2.444735e+05, 2.445040e+05, 2.445345e+05]) - region(basin)|S21dask.array<chunksize=(3,), meta=np.ndarray>
- long_name :
- ocean basin
- standard_name :
- region
Array Chunk Bytes 63 B 63 B Shape (3,) (3,) Count 22 Tasks 1 Chunks Type |S21 numpy.ndarray - lev(lev)float640.0 2.5 5.0 ... 5.25e+03 5.5e+03
- bounds :
- lev_bnds
- units :
- m
- axis :
- Z
- positive :
- down
- long_name :
- ocean depth coordinate
- standard_name :
- depth
array([0.00e+00, 2.50e+00, 5.00e+00, 1.00e+01, 1.50e+01, 2.25e+01, 3.00e+01, 4.00e+01, 5.00e+01, 6.00e+01, 8.00e+01, 1.00e+02, 1.20e+02, 1.40e+02, 1.70e+02, 2.00e+02, 2.30e+02, 2.60e+02, 3.00e+02, 3.40e+02, 3.80e+02, 4.20e+02, 4.70e+02, 5.20e+02, 5.80e+02, 6.40e+02, 7.20e+02, 8.00e+02, 9.00e+02, 1.00e+03, 1.12e+03, 1.26e+03, 1.42e+03, 1.60e+03, 1.80e+03, 2.00e+03, 2.25e+03, 2.50e+03, 2.75e+03, 3.00e+03, 3.25e+03, 3.50e+03, 3.75e+03, 4.00e+03, 4.25e+03, 4.50e+03, 4.75e+03, 5.00e+03, 5.25e+03, 5.50e+03]) - lat(lat)float64-89.5 -88.5 -87.5 ... 88.5 89.5
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5, -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5, -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5, -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5, -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5, -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5, -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5, -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5, -9.5, -8.5, -7.5, -6.5, -5.5, -4.5, -3.5, -2.5, -1.5, -0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5, 10.5, 11.5, 12.5, 13.5, 14.5, 15.5, 16.5, 17.5, 18.5, 19.5, 20.5, 21.5, 22.5, 23.5, 24.5, 25.5, 26.5, 27.5, 28.5, 29.5, 30.5, 31.5, 32.5, 33.5, 34.5, 35.5, 36.5, 37.5, 38.5, 39.5, 40.5, 41.5, 42.5, 43.5, 44.5, 45.5, 46.5, 47.5, 48.5, 49.5, 50.5, 51.5, 52.5, 53.5, 54.5, 55.5, 56.5, 57.5, 58.5, 59.5, 60.5, 61.5, 62.5, 63.5, 64.5, 65.5, 66.5, 67.5, 68.5, 69.5, 70.5, 71.5, 72.5, 73.5, 74.5, 75.5, 76.5, 77.5, 78.5, 79.5, 80.5, 81.5, 82.5, 83.5, 84.5, 85.5, 86.5, 87.5, 88.5, 89.5])
- time_bnds(time, bnds)float64dask.array<chunksize=(1200, 2), meta=np.ndarray>
Array Chunk Bytes 128.64 kB 19.20 kB Shape (8040, 2) (1200, 2) Count 21 Tasks 7 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(1200, 50, 2), meta=np.ndarray>
Array Chunk Bytes 6.43 MB 960.00 kB Shape (8040, 50, 2) (1200, 50, 2) Count 28 Tasks 7 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(1200, 180, 2), meta=np.ndarray>
Array Chunk Bytes 23.16 MB 3.46 MB Shape (8040, 180, 2) (1200, 180, 2) Count 28 Tasks 7 Chunks Type float64 numpy.ndarray - msftmyz(time, basin, lev, lat)float32dask.array<chunksize=(1200, 3, 50, 180), meta=np.ndarray>
- standard_name :
- ocean_meridional_overturning_mass_streamfunction
- long_name :
- Ocean Meridional Overturning Mass Streamfunction
- comment :
- differs from CMIP3 because it includes mass.
- units :
- kg s-1
- original_name :
- OVERTURN
- cell_methods :
- time: mean longitude: mean
- history :
- 2013-09-10T06:30:54Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20).
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_MIROC5_piControl_r0i0p0.nc
Array Chunk Bytes 868.32 MB 129.60 MB Shape (8040, 3, 50, 180) (1200, 3, 50, 180) Count 21 Tasks 7 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 :
- piControl
- 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 :
- N/A
- 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
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- 08de6b5c-4b04-4706-806e-9d2d24188712
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2013-09-10T06:30:54Z
- history :
- 2013-09-10T06:30:54Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Omon (26 July 2011) 25bb94a0408beca44c0f5b601258a94e
- title :
- MIROC5 model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- ocean
- realization :
- 1
- cmor_version :
- 2.7.1