MPI-ESM-MR model output prepared for CMIP5 abrupt 4XCO2
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_abrupt4xCO2_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | MPI-ESM-MR model output prepared for CMIP5 abrupt 4XCO2 |
| location | /shared/cmip5/data/abrupt4xCO2/ocean/mon/Omon/tos/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/tos_Omon_MPI-ESM-MR_abrupt4xCO2_r1i1p1.yaml |
| last updated | 2017-07-24 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 802, j: 404, time: 1800, vertices: 4)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 5.474e+04 5.477e+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: abrupt4xCO2
source: MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosm...
model_id: MPI-ESM-MR
forcing: Oz,SD,Sl,LU
parent_experiment_id: piControl
parent_experiment_rip: r1i1p1
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: 473b5af2-b26c-447d-8f04-73295f971f6e
product: output
experiment: abrupt 4XCO2
frequency: mon
creation_date: 2012-05-04T12:15:24Z
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Omon (12 January 2012) c17931a1bad4e38015cb...
title: MPI-ESM-MR model output prepared for CMIP5 abrupt...
parent_experiment: pre-industrial control
modeling_realm: ocean
realization: 1
cmor_version: 2.6.0xarray.Dataset
- bnds: 2
- i: 802
- j: 404
- time: 1800
- vertices: 4
- time(time)float6415.5 45.0 ... 5.474e+04 5.477e+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, ..., 5.47095e+04, 5.47400e+04, 5.47705e+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 5 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 5 Tasks 1 Chunks Type float32 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(600, 2), meta=np.ndarray>
Array Chunk Bytes 28.80 kB 19.20 kB Shape (1800, 2) (1200, 2) Count 6 Tasks 2 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 9.33 GB 6.22 GB Shape (1800, 404, 802, 4) (1200, 404, 802, 4) Count 8 Tasks 2 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 9.33 GB 6.22 GB Shape (1800, 404, 802, 4) (1200, 404, 802, 4) Count 8 Tasks 2 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_abrupt4xCO2_r0i0p0.nc areacello: areacello_fx_MPI-ESM-MR_abrupt4xCO2_r0i0p0.nc
Array Chunk Bytes 2.33 GB 1.56 GB Shape (1800, 404, 802) (1200, 404, 802) Count 6 Tasks 2 Chunks Type float32 numpy.ndarray
- institution :
- Max Planck Institute for Meteorology
- institute_id :
- MPI-M
- experiment_id :
- abrupt4xCO2
- source :
- MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosmos/branches/releases/mpi-esm-cmip5/src/mod; atmosphere: ECHAM6 (REV: 5452), T63L47; land: JSBACH (REV: 5452); ocean: MPIOM (REV: 5234), GR15L40; sea ice: 5234; marine bgc: HAMOCC (REV: 5234);
- model_id :
- MPI-ESM-MR
- forcing :
- Oz,SD,Sl,LU
- parent_experiment_id :
- piControl
- parent_experiment_rip :
- r1i1p1
- 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: 4585 2012-05-04T12:15:11Z 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 :
- 473b5af2-b26c-447d-8f04-73295f971f6e
- product :
- output
- experiment :
- abrupt 4XCO2
- frequency :
- mon
- creation_date :
- 2012-05-04T12:15:24Z
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Omon (12 January 2012) c17931a1bad4e38015cbd162d50c56e5
- title :
- MPI-ESM-MR model output prepared for CMIP5 abrupt 4XCO2
- parent_experiment :
- pre-industrial control
- modeling_realm :
- ocean
- realization :
- 1
- cmor_version :
- 2.6.0