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/sit_OImon_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/seaIce/mon/OImon/sit/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/sit_OImon_MPI-ESM-MR_piControl_r1i1p1.yaml |
| last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 802, j: 404, time: 12000, vertices: 4)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 3.652e+05 3.652e+05
* 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>
sit (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: 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: aaa2ba1b-fe29-4e43-8e88-cd2590593715
product: output
experiment: pre-industrial control
frequency: mon
creation_date: 2011-10-10T08:38:11Z
Conventions: CF-1.4
project_id: CMIP5
table_id: Table OImon (27 April 2011) f04ba250f3acd5b9e847c...
title: MPI-ESM-MR model output prepared for CMIP5 pre-in...
parent_experiment: N/A
modeling_realm: seaIce ocean
realization: 1
cmor_version: 2.6.0xarray.Dataset
- bnds: 2
- i: 802
- j: 404
- 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]) - 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 65 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 65 Tasks 1 Chunks Type float32 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(600, 2), meta=np.ndarray>
Array Chunk Bytes 192.00 kB 19.20 kB Shape (12000, 2) (1200, 2) Count 42 Tasks 14 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 62.21 GB 6.22 GB Shape (12000, 404, 802, 4) (1200, 404, 802, 4) Count 56 Tasks 14 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 62.21 GB 6.22 GB Shape (12000, 404, 802, 4) (1200, 404, 802, 4) Count 56 Tasks 14 Chunks Type float32 numpy.ndarray - sit(time, j, i)float32dask.array<chunksize=(600, 404, 802), meta=np.ndarray>
- standard_name :
- sea_ice_thickness
- long_name :
- Sea Ice Thickness
- comment :
- the mean thickness of sea ice in the ocean portion of the grid cell (averaging over the entire ocean portion, including the ice-free fraction). Reported as 0.0 in regions free of sea ice.
- units :
- m
- cell_methods :
- time: mean area: mean where sea
- cell_measures :
- area: areacello
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_seaIce_fx_MPI-ESM-MR_piControl_r0i0p0.nc areacello: areacello_fx_MPI-ESM-MR_piControl_r0i0p0.nc
Array Chunk Bytes 15.55 GB 1.56 GB Shape (12000, 404, 802) (1200, 404, 802) Count 42 Tasks 14 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 2011-10-10T08:38:06Z 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 :
- aaa2ba1b-fe29-4e43-8e88-cd2590593715
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2011-10-10T08:38:11Z
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table OImon (27 April 2011) f04ba250f3acd5b9e847c21d5752eb85
- title :
- MPI-ESM-MR model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- seaIce ocean
- realization :
- 1
- cmor_version :
- 2.6.0