MPI-ESM-MR 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/rhopoto_Omon_MPI-ESM-MR_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | MPI-ESM-MR model output prepared for CMIP5 pre-industrial control |
| location | /shared/cmip5/data/piControl/ocean/mon/Omon/rhopoto/MPI-M.MPI-ESM-MR/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/rhopoto_Omon_MPI-ESM-MR_piControl_r1i1p1.yaml |
| last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 802, j: 404, lev: 40, time: 12000, vertices: 4)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 3.652e+05 3.652e+05
* lev (lev) float64 6.0 17.0 27.0 ... 4.67e+03 5.17e+03 5.72e+03
* 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=(12, 2), meta=np.ndarray>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(12, 40, 2), meta=np.ndarray>
lat_vertices (time, j, i, vertices) float32 dask.array<chunksize=(12, 404, 802, 4), meta=np.ndarray>
lon_vertices (time, j, i, vertices) float32 dask.array<chunksize=(12, 404, 802, 4), meta=np.ndarray>
rhopoto (time, lev, j, i) float32 dask.array<chunksize=(12, 40, 404, 802), meta=np.ndarray>
Attributes:
institution: Max Planck Institute for Meteorology
institute_id: MPI-M
experiment_id: piControl
source: MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosm...
model_id: MPI-ESM-MR
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...
references: ECHAM6: n/a; JSBACH: Raddatz et al., 2007. Will t...
initialization_method: 1
physics_version: 1
tracking_id: 56ea682c-f3fa-4f51-9fdf-d8ecaeca39b0
product: output
experiment: pre-industrial control
frequency: mon
creation_date: 2011-10-10T08:42:35Z
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Omon (27 April 2011) 340eddd4fd838d90fa9ffe...
title: MPI-ESM-MR model output prepared for CMIP5 pre-in...
parent_experiment: N/A
modeling_realm: ocean
realization: 1
cmor_version: 2.6.0xarray.Dataset
- bnds: 2
- i: 802
- j: 404
- lev: 40
- time: 12000
- vertices: 4
- time(time)float6415.5 45.0 ... 3.652e+05 3.652e+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, ..., 3.651665e+05, 3.651970e+05, 3.652275e+05]) - lev(lev)float646.0 17.0 27.0 ... 5.17e+03 5.72e+03
- bounds :
- lev_bnds
- units :
- m
- axis :
- Z
- positive :
- down
- long_name :
- ocean depth coordinate
- standard_name :
- depth
array([ 6. , 17. , 27. , 37. , 47. , 57. , 68.5, 82.5, 100. , 122.5, 150. , 182.5, 220. , 262.5, 310. , 362.5, 420. , 485. , 560. , 645. , 740. , 845. , 960. , 1085. , 1220. , 1365. , 1525. , 1700. , 1885. , 2080. , 2290. , 2525. , 2785. , 3070. , 3395. , 3770. , 4195. , 4670. , 5170. , 5720. ]) - 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 4995 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 4995 Tasks 1 Chunks Type float32 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(12, 2), meta=np.ndarray>
Array Chunk Bytes 192.00 kB 192 B Shape (12000, 2) (12, 2) Count 3000 Tasks 1000 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(12, 40, 2), meta=np.ndarray>
Array Chunk Bytes 7.68 MB 7.68 kB Shape (12000, 40, 2) (12, 40, 2) Count 4000 Tasks 1000 Chunks Type float64 numpy.ndarray - lat_vertices(time, j, i, vertices)float32dask.array<chunksize=(12, 404, 802, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 62.21 GB 62.21 MB Shape (12000, 404, 802, 4) (12, 404, 802, 4) Count 4000 Tasks 1000 Chunks Type float32 numpy.ndarray - lon_vertices(time, j, i, vertices)float32dask.array<chunksize=(12, 404, 802, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 62.21 GB 62.21 MB Shape (12000, 404, 802, 4) (12, 404, 802, 4) Count 4000 Tasks 1000 Chunks Type float32 numpy.ndarray - rhopoto(time, lev, j, i)float32dask.array<chunksize=(12, 40, 404, 802), meta=np.ndarray>
- standard_name :
- sea_water_potential_density
- long_name :
- Sea Water Potential Density
- units :
- kg m-3
- cell_methods :
- time: mean
- cell_measures :
- area: areacello volume: volcello
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_MPI-ESM-MR_piControl_r0i0p0.nc areacello: areacello_fx_MPI-ESM-MR_piControl_r0i0p0.nc volcello: volcello_fx_MPI-ESM-MR_piControl_r0i0p0.nc
Array Chunk Bytes 622.10 GB 622.10 MB Shape (12000, 40, 404, 802) (12, 40, 404, 802) Count 3000 Tasks 1000 Chunks Type float32 numpy.ndarray
- institution :
- Max Planck Institute for Meteorology
- institute_id :
- MPI-M
- experiment_id :
- piControl
- source :
- MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosmos/branches/releases/mpi-esm-cmip5/src/mod; atmosphere: ECHAM6 (REV: 4873), T63L47; land: JSBACH (REV: 4873); ocean: MPIOM (REV: 4873), GR15L40; sea ice: 4873; marine bgc: HAMOCC (REV: 4873);
- model_id :
- MPI-ESM-MR
- 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: 3901 2011-10-10T08:40:23Z 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 :
- 56ea682c-f3fa-4f51-9fdf-d8ecaeca39b0
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2011-10-10T08:42:35Z
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Omon (27 April 2011) 340eddd4fd838d90fa9ffe1345ecbd73
- title :
- MPI-ESM-MR model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- ocean
- realization :
- 1
- cmor_version :
- 2.6.0