MPI-ESM-MR model output prepared for CMIP5 historical
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_Omon_MPI-ESM-MR_historical_r3i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | MPI-ESM-MR model output prepared for CMIP5 historical |
location | /shared/cmip5/data/historical/ocean/mon/Omon/tos/MPI-M.MPI-ESM-MR/r3i1p1 |
tags | gridded,global,model,monthly |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_Omon_MPI-ESM-MR_historical_r3i1p1.yaml |
last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, i: 802, j: 404, time: 1872, vertices: 4) Coordinates: * time (time) float64 15.5 45.0 74.5 ... 5.69e+04 5.693e+04 5.696e+04 * j (j) int32 1 2 3 4 5 6 7 8 ... 397 398 399 400 401 402 403 404 * i (i) int32 1 2 3 4 5 6 7 8 ... 795 796 797 798 799 800 801 802 lat (j, i) float32 dask.array<chunksize=(404, 802), meta=np.ndarray> lon (j, i) float32 dask.array<chunksize=(404, 802), meta=np.ndarray> Dimensions without coordinates: bnds, vertices Data variables: time_bnds (time, bnds) float64 dask.array<chunksize=(600, 2), meta=np.ndarray> lat_vertices (time, j, i, vertices) float32 dask.array<chunksize=(600, 404, 802, 4), meta=np.ndarray> lon_vertices (time, j, i, vertices) float32 dask.array<chunksize=(600, 404, 802, 4), meta=np.ndarray> tos (time, j, i) float32 dask.array<chunksize=(600, 404, 802), meta=np.ndarray> Attributes: institution: Max Planck Institute for Meteorology institute_id: MPI-M experiment_id: historical source: MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosm... model_id: MPI-ESM-MR forcing: GHG,Oz,SD,Sl,Vl,LU parent_experiment_id: piControl parent_experiment_rip: r1i1p1 branch_time: 42368.0 contact: cmip5-mpi-esm@dkrz.de history: Model raw output postprocessing with modelling en... references: ECHAM6: n/a; JSBACH: Raddatz et al., 2007. Will t... initialization_method: 1 physics_version: 1 tracking_id: af4ed07c-f0f5-47cf-a7ad-373ca5d012bf product: output experiment: historical frequency: mon creation_date: 2011-11-25T18:46:12Z Conventions: CF-1.4 project_id: CMIP5 table_id: Table Omon (27 April 2011) 340eddd4fd838d90fa9ffe... title: MPI-ESM-MR model output prepared for CMIP5 histor... parent_experiment: pre-industrial control modeling_realm: ocean realization: 3 cmor_version: 2.6.0
xarray.Dataset
- bnds: 2
- i: 802
- j: 404
- time: 1872
- vertices: 4
- time(time)float6415.5 45.0 ... 5.693e+04 5.696e+04
- bounds :
- time_bnds
- units :
- days since 1850-1-1 00:00:00
- calendar :
- proleptic_gregorian
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 5.69015e+04, 5.69320e+04, 5.69625e+04])
- j(j)int321 2 3 4 5 6 ... 400 401 402 403 404
- units :
- 1
- long_name :
- cell index along second dimension
array([ 1, 2, 3, ..., 402, 403, 404], dtype=int32)
- i(i)int321 2 3 4 5 6 ... 798 799 800 801 802
- units :
- 1
- long_name :
- cell index along first dimension
array([ 1, 2, 3, ..., 800, 801, 802], dtype=int32)
- lat(j, i)float32dask.array<chunksize=(404, 802), meta=np.ndarray>
- standard_name :
- latitude
- long_name :
- latitude coordinate
- units :
- degrees_north
- bounds :
- lat_vertices
Array Chunk Bytes 1.30 MB 1.30 MB Shape (404, 802) (404, 802) Count 10 Tasks 1 Chunks Type float32 numpy.ndarray - lon(j, i)float32dask.array<chunksize=(404, 802), meta=np.ndarray>
- standard_name :
- longitude
- long_name :
- longitude coordinate
- units :
- degrees_east
- bounds :
- lon_vertices
Array Chunk Bytes 1.30 MB 1.30 MB Shape (404, 802) (404, 802) Count 10 Tasks 1 Chunks Type float32 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(600, 2), meta=np.ndarray>
Array Chunk Bytes 29.95 kB 19.20 kB Shape (1872, 2) (1200, 2) Count 9 Tasks 3 Chunks Type float64 numpy.ndarray - lat_vertices(time, j, i, vertices)float32dask.array<chunksize=(600, 404, 802, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 9.70 GB 6.22 GB Shape (1872, 404, 802, 4) (1200, 404, 802, 4) Count 12 Tasks 3 Chunks Type float32 numpy.ndarray - lon_vertices(time, j, i, vertices)float32dask.array<chunksize=(600, 404, 802, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 9.70 GB 6.22 GB Shape (1872, 404, 802, 4) (1200, 404, 802, 4) Count 12 Tasks 3 Chunks Type float32 numpy.ndarray - tos(time, j, i)float32dask.array<chunksize=(600, 404, 802), meta=np.ndarray>
- standard_name :
- sea_surface_temperature
- long_name :
- Sea Surface Temperature
- comment :
- "this may differ from ""surface temperature"" in regions of sea ice."
- units :
- K
- cell_methods :
- time: mean
- cell_measures :
- area: areacello
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_MPI-ESM-MR_historical_r0i0p0.nc areacello: areacello_fx_MPI-ESM-MR_historical_r0i0p0.nc
Array Chunk Bytes 2.43 GB 1.56 GB Shape (1872, 404, 802) (1200, 404, 802) Count 9 Tasks 3 Chunks Type float32 numpy.ndarray
- institution :
- Max Planck Institute for Meteorology
- institute_id :
- MPI-M
- experiment_id :
- historical
- source :
- MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosmos/branches/releases/mpi-esm-cmip5/src/mod; atmosphere: ECHAM6 (REV: 5051), T63L47; land: JSBACH (REV: 5051); ocean: MPIOM (REV: 5051), GR15L40; sea ice: 5051; marine bgc: HAMOCC (REV: 5051);
- model_id :
- MPI-ESM-MR
- forcing :
- GHG,Oz,SD,Sl,Vl,LU
- parent_experiment_id :
- piControl
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 42368.0
- contact :
- cmip5-mpi-esm@dkrz.de
- history :
- Model raw output postprocessing with modelling environment (IMDI) at DKRZ: URL: http://svn-mad.zmaw.de/svn/mad/Model/IMDI/trunk, REV: 3998 2011-11-25T18:45:58Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- references :
- ECHAM6: n/a; JSBACH: Raddatz et al., 2007. Will the tropical land biosphere dominate the climate-carbon cycle feedback during the twenty first century? Climate Dynamics, 29, 565-574, doi 10.1007/s00382-007-0247-8; MPIOM: Marsland et al., 2003. The Max-Planck-Institute global ocean/sea ice model with orthogonal curvilinear coordinates. Ocean Modelling, 5, 91-127; HAMOCC: Technical Documentation, http://www.mpimet.mpg.de/fileadmin/models/MPIOM/HAMOCC5.1_TECHNICAL_REPORT.pdf;
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- af4ed07c-f0f5-47cf-a7ad-373ca5d012bf
- product :
- output
- experiment :
- historical
- frequency :
- mon
- creation_date :
- 2011-11-25T18:46:12Z
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Omon (27 April 2011) 340eddd4fd838d90fa9ffe1345ecbd73
- title :
- MPI-ESM-MR model output prepared for CMIP5 historical
- parent_experiment :
- pre-industrial control
- modeling_realm :
- ocean
- realization :
- 3
- cmor_version :
- 2.6.0