MIROC-ESM 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/vo_Omon_MIROC-ESM_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | MIROC-ESM model output prepared for CMIP5 pre-industrial control |
| location | /shared/cmip5/data/piControl/ocean/mon/Omon/vo/MIROC.MIROC-ESM/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/vo_Omon_MIROC-ESM_piControl_r1i1p1.yaml |
| last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 192, lev: 44, lon: 256, time: 7560)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 2.3e+05 2.301e+05 2.301e+05
* lev (lev) float64 2.5 7.5 12.5 17.5 ... 5.025e+03 5.275e+03 5.45e+03
* lat (lat) float64 -88.29 -86.58 -85.17 -83.76 ... 86.58 88.29 90.0
* lon (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6
Dimensions without coordinates: bnds
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(120, 2), meta=np.ndarray>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(120, 44, 2), meta=np.ndarray>
sigma (time, lev) float64 dask.array<chunksize=(120, 44), meta=np.ndarray>
eta (time, lat, lon) float32 dask.array<chunksize=(120, 192, 256), meta=np.ndarray>
depth (time, lat, lon) float32 dask.array<chunksize=(120, 192, 256), meta=np.ndarray>
depth_c (time) float64 45.0 45.0 45.0 45.0 45.0 ... 45.0 45.0 45.0 45.0
nsigma (time) int32 8 8 8 8 8 8 8 8 8 8 8 8 ... 8 8 8 8 8 8 8 8 8 8 8 8
zlev (time, lev) float64 dask.array<chunksize=(120, 44), meta=np.ndarray>
sigma_bnds (time, lev, bnds) float64 dask.array<chunksize=(120, 44, 2), meta=np.ndarray>
zlev_bnds (time, lev, bnds) float64 dask.array<chunksize=(120, 44, 2), meta=np.ndarray>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(120, 192, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(120, 256, 2), meta=np.ndarray>
vo (time, lev, lat, lon) float32 dask.array<chunksize=(120, 44, 192, 256), meta=np.ndarray>
Attributes:
institution: JAMSTEC (Japan Agency for Marine-Earth Science an...
institute_id: MIROC
experiment_id: piControl
source: MIROC-ESM 2010 atmosphere: MIROC-AGCM (MIROC-AGCM...
model_id: MIROC-ESM
forcing: N/A
parent_experiment_id: N/A
parent_experiment_rip: N/A
branch_time: 0.0
contact: Michio Kawamiya (kawamiya@jamstec.go.jp) and Toru...
references: Watanabe et al., : MIROC-ESM: model description a...
initialization_method: 1
physics_version: 1
tracking_id: 2b8b0462-5621-4341-91ee-195e30c741d1
product: output
experiment: pre-industrial control
frequency: mon
creation_date: 2011-09-13T14:24:27Z
history: 2011-09-13T14:24:27Z CMOR rewrote data to comply ...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Omon (26 July 2011) 25bb94a0408beca44c0f5b6...
title: MIROC-ESM model output prepared for CMIP5 pre-ind...
parent_experiment: N/A
modeling_realm: ocean
realization: 1
cmor_version: 2.7.1xarray.Dataset
- bnds: 2
- lat: 192
- lev: 44
- lon: 256
- time: 7560
- time(time)float6415.5 45.0 ... 2.301e+05 2.301e+05
- bounds :
- time_bnds
- units :
- days since 1800-1-1
- calendar :
- gregorian
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.550000e+01, 4.500000e+01, 7.450000e+01, ..., 2.300265e+05, 2.300570e+05, 2.300875e+05]) - lev(lev)float642.5 7.5 12.5 ... 5.275e+03 5.45e+03
- bounds :
- lev_bnds
- axis :
- Z
- long_name :
- ocean sigma over z coordinate
- standard_name :
- ocean_sigma_z
- formula :
- for k <= nsigma: z = eta + sigma*(min(depth_c,depth)+eta) ; for k > nsigma: z = zlev
- formula_terms :
- sigma: sigma eta: eta depth: depth depth_c: depth_c nsigma: nsigma zlev: zlev
array([2.500e+00, 7.500e+00, 1.250e+01, 1.750e+01, 2.250e+01, 2.750e+01, 3.375e+01, 4.125e+01, 5.000e+01, 6.000e+01, 7.000e+01, 8.000e+01, 9.250e+01, 1.100e+02, 1.325e+02, 1.575e+02, 1.850e+02, 2.250e+02, 2.875e+02, 3.625e+02, 4.500e+02, 5.500e+02, 6.750e+02, 8.250e+02, 9.750e+02, 1.125e+03, 1.300e+03, 1.525e+03, 1.775e+03, 2.025e+03, 2.275e+03, 2.525e+03, 2.775e+03, 3.025e+03, 3.275e+03, 3.525e+03, 3.775e+03, 4.025e+03, 4.275e+03, 4.525e+03, 4.775e+03, 5.025e+03, 5.275e+03, 5.450e+03]) - lat(lat)float64-88.29 -86.58 -85.17 ... 88.29 90.0
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-8.828887e+01, -8.657775e+01, -8.516739e+01, -8.375703e+01, -8.235603e+01, -8.095502e+01, -7.955669e+01, -7.815835e+01, -7.676115e+01, -7.536394e+01, -7.396732e+01, -7.257070e+01, -7.117442e+01, -6.977814e+01, -6.838209e+01, -6.698602e+01, -6.559011e+01, -6.419420e+01, -6.326366e+01, -6.233312e+01, -6.140258e+01, -6.047209e+01, -5.954160e+01, -5.861111e+01, -5.768066e+01, -5.675021e+01, -5.581976e+01, -5.488934e+01, -5.395892e+01, -5.302849e+01, -5.209809e+01, -5.116769e+01, -5.023730e+01, -4.930692e+01, -4.837653e+01, -4.744616e+01, -4.651579e+01, -4.558542e+01, -4.465506e+01, -4.372470e+01, -4.279435e+01, -4.186400e+01, -4.093365e+01, -4.000331e+01, -3.907297e+01, -3.814263e+01, -3.721230e+01, -3.628196e+01, -3.535163e+01, -3.442131e+01, -3.349098e+01, -3.256066e+01, -3.163034e+01, -3.070002e+01, -2.976970e+01, -2.883938e+01, -2.790907e+01, -2.697875e+01, -2.604844e+01, -2.511813e+01, -2.418782e+01, -2.325751e+01, -2.232720e+01, -2.139689e+01, -2.046659e+01, -1.953628e+01, -1.860598e+01, -1.767568e+01, -1.674537e+01, -1.604765e+01, -1.534992e+01, -1.465219e+01, -1.395447e+01, -1.325674e+01, -1.255902e+01, -1.186129e+01, -1.116357e+01, -1.046585e+01, -9.768121e+00, -9.070397e+00, -8.372673e+00, -7.814495e+00, -7.256316e+00, -6.698138e+00, -6.139959e+00, -5.581780e+00, -5.023602e+00, -4.465425e+00, -3.907246e+00, -3.349068e+00, -2.790890e+00, -2.232712e+00, -1.674534e+00, -1.116356e+00, -5.581779e-01, -1.600047e-09, 5.581779e-01, 1.116356e+00, 1.674534e+00, 2.232712e+00, 2.790890e+00, 3.349068e+00, 3.907246e+00, 4.465425e+00, 5.023602e+00, 5.581780e+00, 6.139959e+00, 6.698138e+00, 7.256316e+00, 7.814495e+00, 8.372673e+00, 9.070397e+00, 9.768121e+00, 1.046585e+01, 1.116357e+01, 1.186129e+01, 1.255902e+01, 1.325674e+01, 1.395447e+01, 1.465219e+01, 1.534992e+01, 1.604765e+01, 1.674537e+01, 1.767568e+01, 1.860598e+01, 1.953628e+01, 2.046659e+01, 2.139689e+01, 2.232720e+01, 2.325751e+01, 2.418782e+01, 2.511813e+01, 2.604844e+01, 2.697875e+01, 2.790907e+01, 2.883938e+01, 2.976970e+01, 3.070002e+01, 3.163034e+01, 3.256066e+01, 3.349098e+01, 3.442131e+01, 3.535163e+01, 3.628196e+01, 3.721230e+01, 3.814263e+01, 3.907297e+01, 4.000331e+01, 4.093365e+01, 4.186400e+01, 4.279435e+01, 4.372470e+01, 4.465506e+01, 4.558542e+01, 4.651579e+01, 4.744616e+01, 4.837653e+01, 4.930692e+01, 5.023730e+01, 5.116769e+01, 5.209809e+01, 5.302849e+01, 5.395892e+01, 5.488934e+01, 5.581976e+01, 5.675021e+01, 5.768066e+01, 5.861111e+01, 5.954160e+01, 6.047209e+01, 6.140258e+01, 6.233312e+01, 6.326366e+01, 6.419420e+01, 6.559011e+01, 6.698602e+01, 6.838209e+01, 6.977814e+01, 7.117442e+01, 7.257070e+01, 7.396732e+01, 7.536394e+01, 7.676115e+01, 7.815835e+01, 7.955669e+01, 8.095502e+01, 8.235603e+01, 8.375703e+01, 8.516739e+01, 8.657775e+01, 8.828887e+01, 9.000000e+01]) - lon(lon)float640.0 1.406 2.812 ... 357.2 358.6
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 0. , 1.40625, 2.8125 , ..., 355.78125, 357.1875 , 358.59375])
- time_bnds(time, bnds)float64dask.array<chunksize=(120, 2), meta=np.ndarray>
Array Chunk Bytes 120.96 kB 1.92 kB Shape (7560, 2) (120, 2) Count 192 Tasks 64 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(120, 44, 2), meta=np.ndarray>
- formula :
- for k <= nsigma: z = eta + sigma*(min(depth_c,depth)+eta) ; for k > nsigma: z = zlev
- standard_name :
- ocean_sigma_z
- units :
- formula_terms :
- sigma: sigma_bnds eta: eta depth: depth depth_c: depth_c nsigma: nsigma zlev: zlev_bnds
Array Chunk Bytes 5.32 MB 84.48 kB Shape (7560, 44, 2) (120, 44, 2) Count 256 Tasks 64 Chunks Type float64 numpy.ndarray - sigma(time, lev)float64dask.array<chunksize=(120, 44), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: sigma(k)
Array Chunk Bytes 2.66 MB 42.24 kB Shape (7560, 44) (120, 44) Count 256 Tasks 64 Chunks Type float64 numpy.ndarray - eta(time, lat, lon)float32dask.array<chunksize=(120, 192, 256), meta=np.ndarray>
- long_name :
- Sea Surface Height
- units :
- m
- original_units :
- cm
- history :
- 2011-09-13T14:24:27Z altered by CMOR: Converted units from 'cm' to 'm'.
- cell_methods :
- time: mean
Array Chunk Bytes 1.49 GB 23.59 MB Shape (7560, 192, 256) (120, 192, 256) Count 192 Tasks 64 Chunks Type float32 numpy.ndarray - depth(time, lat, lon)float32dask.array<chunksize=(120, 192, 256), meta=np.ndarray>
- long_name :
- Sea Floor Depth
- comment :
- Ocean bathymetry.
- units :
- m
Array Chunk Bytes 1.49 GB 23.59 MB Shape (7560, 192, 256) (120, 192, 256) Count 256 Tasks 64 Chunks Type float32 numpy.ndarray - depth_c(time)float6445.0 45.0 45.0 ... 45.0 45.0 45.0
- long_name :
- vertical coordinate formula term: depth_c
array([45., 45., 45., ..., 45., 45., 45.])
- nsigma(time)int328 8 8 8 8 8 8 8 ... 8 8 8 8 8 8 8 8
- long_name :
- vertical coordinate formula term: nsigma
array([8, 8, 8, ..., 8, 8, 8], dtype=int32)
- zlev(time, lev)float64dask.array<chunksize=(120, 44), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: zlev(k)
Array Chunk Bytes 2.66 MB 42.24 kB Shape (7560, 44) (120, 44) Count 256 Tasks 64 Chunks Type float64 numpy.ndarray - sigma_bnds(time, lev, bnds)float64dask.array<chunksize=(120, 44, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: sigma(k+1/2)
Array Chunk Bytes 5.32 MB 84.48 kB Shape (7560, 44, 2) (120, 44, 2) Count 256 Tasks 64 Chunks Type float64 numpy.ndarray - zlev_bnds(time, lev, bnds)float64dask.array<chunksize=(120, 44, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: zlev(k+1/2)
Array Chunk Bytes 5.32 MB 84.48 kB Shape (7560, 44, 2) (120, 44, 2) Count 256 Tasks 64 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(120, 192, 2), meta=np.ndarray>
Array Chunk Bytes 23.22 MB 368.64 kB Shape (7560, 192, 2) (120, 192, 2) Count 256 Tasks 64 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(120, 256, 2), meta=np.ndarray>
Array Chunk Bytes 30.97 MB 491.52 kB Shape (7560, 256, 2) (120, 256, 2) Count 256 Tasks 64 Chunks Type float64 numpy.ndarray - vo(time, lev, lat, lon)float32dask.array<chunksize=(120, 44, 192, 256), meta=np.ndarray>
- standard_name :
- sea_water_y_velocity
- long_name :
- Sea Water Y Velocity
- units :
- m s-1
- original_name :
- vo
- original_units :
- m/s
- history :
- 2011-09-13T14:24:27Z altered by CMOR: Converted units from 'm/s' to 'm s-1'. 2011-09-13T14:24:27Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20).
- cell_methods :
- time: mean
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_MIROC-ESM_piControl_r0i0p0.nc
Array Chunk Bytes 65.40 GB 1.04 GB Shape (7560, 44, 192, 256) (120, 44, 192, 256) Count 192 Tasks 64 Chunks Type float32 numpy.ndarray
- institution :
- JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), and NIES (National Institute for Environmental Studies, Ibaraki, Japan)
- institute_id :
- MIROC
- experiment_id :
- piControl
- source :
- MIROC-ESM 2010 atmosphere: MIROC-AGCM (MIROC-AGCM 2010, T42L80); ocean: COCO (COCO3.4, 256x192 L44); sea ice: COCO (COCO3.4); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T42L80):ocean-biogeochemistry: NPZD ; land-biogeochemistry: SEIB-DGVM (SEIB-DGVM, T42)
- model_id :
- MIROC-ESM
- forcing :
- N/A
- parent_experiment_id :
- N/A
- parent_experiment_rip :
- N/A
- branch_time :
- 0.0
- contact :
- Michio Kawamiya (kawamiya@jamstec.go.jp) and Toru Nozawa (nozawa@nies.go.jp)
- references :
- Watanabe et al., : MIROC-ESM: model description and basic results of CMIP5-20c3m experiments, Geosci. Model Dev. Discuss., 4, 1063-1128, doi:10.5194/gmdd-4-1063-2011, 2011.
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- 2b8b0462-5621-4341-91ee-195e30c741d1
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2011-09-13T14:24:27Z
- history :
- 2011-09-13T14:24:27Z 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 :
- MIROC-ESM model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- ocean
- realization :
- 1
- cmor_version :
- 2.7.1