MPI-ESM-P 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/tauuo_Omon_MPI-ESM-P_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | MPI-ESM-P model output prepared for CMIP5 pre-industrial control |
location | /shared/cmip5/data/piControl/ocean/mon/Omon/tauuo/MPI-M.MPI-ESM-P/r1i1p1 |
tags | gridded,global,model,monthly |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tauuo_Omon_MPI-ESM-P_piControl_r1i1p1.yaml |
last updated | 2015-01-20 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, i: 256, j: 220, time: 13872, vertices: 4) Coordinates: * time (time) float64 15.5 45.0 74.5 ... 4.222e+05 4.222e+05 * j (j) int32 1 2 3 4 5 6 7 8 ... 213 214 215 216 217 218 219 220 * i (i) int32 1 2 3 4 5 6 7 8 ... 249 250 251 252 253 254 255 256 lat (j, i) float32 dask.array<chunksize=(220, 256), meta=np.ndarray> lon (j, i) float32 dask.array<chunksize=(220, 256), 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, 220, 256, 4), meta=np.ndarray> lon_vertices (time, j, i, vertices) float32 dask.array<chunksize=(600, 220, 256, 4), meta=np.ndarray> tauuo (time, j, i) float32 dask.array<chunksize=(600, 220, 256), meta=np.ndarray> Attributes: institution: Max Planck Institute for Meteorology institute_id: MPI-M experiment_id: piControl source: MPI-ESM-P 2011; URL: http://svn.zmaw.de/svn/cosmo... model_id: MPI-ESM-P forcing: N/A parent_experiment_id: N/A parent_experiment_rip: N/A branch_time: 0.0 contact: cmip5-mpi-esm@dkrz.de history: Model raw output postprocessing with modelling en... comment: started from AR4 Ctrl + 1565 years spinup run. references: ECHAM6: n/a; JSBACH: Raddatz et al., 2007. Will t... initialization_method: 1 physics_version: 1 tracking_id: 3aeb31d7-6f28-4d7b-bdab-d4b2cda87d37 product: output experiment: pre-industrial control frequency: mon creation_date: 2011-06-28T23:16:30Z Conventions: CF-1.4 project_id: CMIP5 table_id: Table Omon (27 April 2011) 340eddd4fd838d90fa9ffe... title: MPI-ESM-P model output prepared for CMIP5 pre-ind... parent_experiment: N/A modeling_realm: ocean realization: 1 cmor_version: 2.5.9
xarray.Dataset
- bnds: 2
- i: 256
- j: 220
- time: 13872
- vertices: 4
- time(time)float6415.5 45.0 ... 4.222e+05 4.222e+05
- bounds :
- time_bnds
- units :
- days since 1850-1-1 00:00:00
- calendar :
- proleptic_gregorian
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.550000e+01, 4.500000e+01, 7.450000e+01, ..., 4.221435e+05, 4.221740e+05, 4.222045e+05])
- j(j)int321 2 3 4 5 6 ... 216 217 218 219 220
- units :
- 1
- long_name :
- cell index along second dimension
array([ 1, 2, 3, ..., 218, 219, 220], dtype=int32)
- i(i)int321 2 3 4 5 6 ... 252 253 254 255 256
- units :
- 1
- long_name :
- cell index along first dimension
array([ 1, 2, 3, ..., 254, 255, 256], dtype=int32)
- lat(j, i)float32dask.array<chunksize=(220, 256), meta=np.ndarray>
- standard_name :
- latitude
- long_name :
- latitude coordinate
- units :
- degrees_north
- bounds :
- lat_vertices
Array Chunk Bytes 225.28 kB 225.28 kB Shape (220, 256) (220, 256) Count 55 Tasks 1 Chunks Type float32 numpy.ndarray - lon(j, i)float32dask.array<chunksize=(220, 256), meta=np.ndarray>
- standard_name :
- longitude
- long_name :
- longitude coordinate
- units :
- degrees_east
- bounds :
- lon_vertices
Array Chunk Bytes 225.28 kB 225.28 kB Shape (220, 256) (220, 256) Count 55 Tasks 1 Chunks Type float32 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(600, 2), meta=np.ndarray>
Array Chunk Bytes 221.95 kB 20.35 kB Shape (13872, 2) (1272, 2) Count 36 Tasks 12 Chunks Type float64 numpy.ndarray - lat_vertices(time, j, i, vertices)float32dask.array<chunksize=(600, 220, 256, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 12.50 GB 1.15 GB Shape (13872, 220, 256, 4) (1272, 220, 256, 4) Count 48 Tasks 12 Chunks Type float32 numpy.ndarray - lon_vertices(time, j, i, vertices)float32dask.array<chunksize=(600, 220, 256, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 12.50 GB 1.15 GB Shape (13872, 220, 256, 4) (1272, 220, 256, 4) Count 48 Tasks 12 Chunks Type float32 numpy.ndarray - tauuo(time, j, i)float32dask.array<chunksize=(600, 220, 256), meta=np.ndarray>
- standard_name :
- surface_downward_x_stress
- long_name :
- Surface Downward X Stress
- comment :
- This is the stress on the liquid ocean from overlying atmosphere, sea ice, ice shelf, etc.
- units :
- N m-2
- cell_methods :
- time: mean area: mean where sea
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_MPI-ESM-P_piControl_r0i0p0.nc
Array Chunk Bytes 3.13 GB 286.56 MB Shape (13872, 220, 256) (1272, 220, 256) Count 36 Tasks 12 Chunks Type float32 numpy.ndarray
- institution :
- Max Planck Institute for Meteorology
- institute_id :
- MPI-M
- experiment_id :
- piControl
- source :
- MPI-ESM-P 2011; URL: http://svn.zmaw.de/svn/cosmos/branches/releases/mpi-esm-cmip5/src/mod; atmosphere: ECHAM6 (REV: 4415), T63L47; land: JSBACH (REV: 4415); ocean: MPIOM (REV: 4493), GR15L40; sea ice: 4493; marine bgc: HAMOCC (REV: 4493);
- model_id :
- MPI-ESM-P
- forcing :
- N/A
- parent_experiment_id :
- N/A
- parent_experiment_rip :
- N/A
- branch_time :
- 0.0
- 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: 3336 2011-06-28T23:16:28Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- comment :
- started from AR4 Ctrl + 1565 years spinup run.
- 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: http://www.mpimet.mpg.de/fileadmin/models/MPIOM/HAMOCC5.1_TECHNICAL_REPORT.pdf;
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- 3aeb31d7-6f28-4d7b-bdab-d4b2cda87d37
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2011-06-28T23:16:30Z
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Omon (27 April 2011) 340eddd4fd838d90fa9ffe1345ecbd73
- title :
- MPI-ESM-P model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- ocean
- realization :
- 1
- cmor_version :
- 2.5.9