MPI-ESM1-2-LR output prepared for CMIP6
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/thetao_Omon_MPI-ESM1-2-LR_piControl_r1i1p1f1_gn.yaml")
ds=cat.netcdf.read()Metadata
| title | MPI-ESM1-2-LR output prepared for CMIP6 |
| location | /shared/cmip6/data/piControl/ocean/mon/Omon/thetao/MPI-M.MPI-ESM1-2-LR/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/thetao_Omon_MPI-ESM1-2-LR_piControl_r1i1p1f1_gn.yaml |
| last updated | 2020-09-16 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 256, j: 220, 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 ... 5.17e+03 5.72e+03
* j (j) int32 0 1 2 3 4 5 6 ... 213 214 215 216 217 218 219
* i (i) int32 0 1 2 3 4 5 6 ... 249 250 251 252 253 254 255
latitude (j, i) float64 dask.array<chunksize=(220, 256), meta=np.ndarray>
longitude (j, i) float64 dask.array<chunksize=(220, 256), meta=np.ndarray>
Dimensions without coordinates: bnds, vertices
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(240, 2), meta=np.ndarray>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(240, 40, 2), meta=np.ndarray>
vertices_latitude (time, j, i, vertices) float64 dask.array<chunksize=(240, 220, 256, 4), meta=np.ndarray>
vertices_longitude (time, j, i, vertices) float64 dask.array<chunksize=(240, 220, 256, 4), meta=np.ndarray>
thetao (time, lev, j, i) float32 dask.array<chunksize=(240, 40, 220, 256), meta=np.ndarray>
Attributes:
Conventions: CF-1.7 CMIP-6.2
activity_id: CMIP
branch_method: standard
branch_time_in_child: 0.0
branch_time_in_parent: 18262.0
contact: cmip6-mpi-esm@dkrz.de
creation_date: 2019-12-07T05:11:57Z
data_specs_version: 01.00.30
experiment: pre-industrial control
experiment_id: piControl
external_variables: areacello volcello
forcing_index: 1
frequency: mon
further_info_url: https://furtherinfo.es-doc.org/CMIP6.MPI-M.MPI-ES...
grid: gn
grid_label: gn
history: 2019-12-07T05:11:57Z ; CMOR rewrote data to be co...
initialization_index: 1
institution: Max Planck Institute for Meteorology, Hamburg 201...
institution_id: MPI-M
mip_era: CMIP6
nominal_resolution: 250 km
parent_activity_id: CMIP
parent_experiment_id: piControl-spinup
parent_mip_era: CMIP6
parent_source_id: MPI-ESM1-2-LR
parent_time_units: days since 1850-1-1 00:00:00
parent_variant_label: r1i1p1f1
physics_index: 1
product: model-output
project_id: CMIP6
realization_index: 1
realm: ocean
references: MPI-ESM: Mauritsen, T. et al. (2019), Development...
source: MPI-ESM1.2-LR (2017):
aerosol: none, prescribed...
source_id: MPI-ESM1-2-LR
source_type: AOGCM
sub_experiment: none
sub_experiment_id: none
table_id: Omon
table_info: Creation Date:(09 May 2019) MD5:e6ef8ececc8f33864...
title: MPI-ESM1-2-LR output prepared for CMIP6
variable_id: thetao
variant_label: r1i1p1f1
license: CMIP6 model data produced by MPI-M is licensed un...
cmor_version: 3.5.0
tracking_id: hdl:21.14100/973afbdb-4b74-4535-8b5b-7bb668291ff3xarray.Dataset
- bnds: 2
- i: 256
- j: 220
- 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)int320 1 2 3 4 5 ... 215 216 217 218 219
- units :
- 1
- long_name :
- cell index along second dimension
array([ 0, 1, 2, ..., 217, 218, 219], dtype=int32)
- i(i)int320 1 2 3 4 5 ... 251 252 253 254 255
- units :
- 1
- long_name :
- cell index along first dimension
array([ 0, 1, 2, ..., 253, 254, 255], dtype=int32)
- latitude(j, i)float64dask.array<chunksize=(220, 256), meta=np.ndarray>
- standard_name :
- latitude
- long_name :
- latitude
- units :
- degrees_north
- bounds :
- vertices_latitude
Array Chunk Bytes 450.56 kB 450.56 kB Shape (220, 256) (220, 256) Count 245 Tasks 1 Chunks Type float64 numpy.ndarray - longitude(j, i)float64dask.array<chunksize=(220, 256), meta=np.ndarray>
- standard_name :
- longitude
- long_name :
- longitude
- units :
- degrees_east
- bounds :
- vertices_longitude
Array Chunk Bytes 450.56 kB 450.56 kB Shape (220, 256) (220, 256) Count 245 Tasks 1 Chunks Type float64 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(240, 2), meta=np.ndarray>
Array Chunk Bytes 192.00 kB 3.84 kB Shape (12000, 2) (240, 2) Count 150 Tasks 50 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(240, 40, 2), meta=np.ndarray>
Array Chunk Bytes 7.68 MB 153.60 kB Shape (12000, 40, 2) (240, 40, 2) Count 200 Tasks 50 Chunks Type float64 numpy.ndarray - vertices_latitude(time, j, i, vertices)float64dask.array<chunksize=(240, 220, 256, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 21.63 GB 432.54 MB Shape (12000, 220, 256, 4) (240, 220, 256, 4) Count 200 Tasks 50 Chunks Type float64 numpy.ndarray - vertices_longitude(time, j, i, vertices)float64dask.array<chunksize=(240, 220, 256, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 21.63 GB 432.54 MB Shape (12000, 220, 256, 4) (240, 220, 256, 4) Count 200 Tasks 50 Chunks Type float64 numpy.ndarray - thetao(time, lev, j, i)float32dask.array<chunksize=(240, 40, 220, 256), meta=np.ndarray>
- standard_name :
- sea_water_potential_temperature
- long_name :
- Sea Water Potential Temperature
- comment :
- Diagnostic should be contributed even for models using conservative temperature as prognostic field.
- units :
- degC
- original_name :
- thetao
- cell_methods :
- area: mean where sea time: mean
- cell_measures :
- area: areacello volume: volcello
- history :
- 2019-12-07T05:11:56Z altered by CMOR: replaced missing value flag (-9e+33) and corresponding data with standard missing value (1e+20).
Array Chunk Bytes 108.13 GB 2.16 GB Shape (12000, 40, 220, 256) (240, 40, 220, 256) Count 150 Tasks 50 Chunks Type float32 numpy.ndarray
- Conventions :
- CF-1.7 CMIP-6.2
- activity_id :
- CMIP
- branch_method :
- standard
- branch_time_in_child :
- 0.0
- branch_time_in_parent :
- 18262.0
- contact :
- cmip6-mpi-esm@dkrz.de
- creation_date :
- 2019-12-07T05:11:57Z
- data_specs_version :
- 01.00.30
- experiment :
- pre-industrial control
- experiment_id :
- piControl
- external_variables :
- areacello volcello
- forcing_index :
- 1
- frequency :
- mon
- further_info_url :
- https://furtherinfo.es-doc.org/CMIP6.MPI-M.MPI-ESM1-2-LR.piControl.none.r1i1p1f1
- grid :
- gn
- grid_label :
- gn
- history :
- 2019-12-07T05:11:57Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.
- initialization_index :
- 1
- institution :
- Max Planck Institute for Meteorology, Hamburg 20146, Germany
- institution_id :
- MPI-M
- mip_era :
- CMIP6
- nominal_resolution :
- 250 km
- parent_activity_id :
- CMIP
- parent_experiment_id :
- piControl-spinup
- parent_mip_era :
- CMIP6
- parent_source_id :
- MPI-ESM1-2-LR
- parent_time_units :
- days since 1850-1-1 00:00:00
- parent_variant_label :
- r1i1p1f1
- physics_index :
- 1
- product :
- model-output
- project_id :
- CMIP6
- realization_index :
- 1
- realm :
- ocean
- references :
- MPI-ESM: Mauritsen, T. et al. (2019), Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1.2) and Its Response to Increasing CO2, J. Adv. Model. Earth Syst.,11, 998-1038, doi:10.1029/2018MS001400, Mueller, W.A. et al. (2018): A high‐resolution version of the Max Planck Institute Earth System Model MPI‐ESM1.2‐HR. J. Adv. Model. EarthSyst.,10,1383–1413, doi:10.1029/2017MS001217
- source :
- MPI-ESM1.2-LR (2017): aerosol: none, prescribed MACv2-SP atmos: ECHAM6.3 (spectral T63; 192 x 96 longitude/latitude; 47 levels; top level 0.01 hPa) atmosChem: none land: JSBACH3.20 landIce: none/prescribed ocean: MPIOM1.63 (bipolar GR1.5, approximately 1.5deg; 256 x 220 longitude/latitude; 40 levels; top grid cell 0-12 m) ocnBgchem: HAMOCC6 seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model)
- source_id :
- MPI-ESM1-2-LR
- source_type :
- AOGCM
- sub_experiment :
- none
- sub_experiment_id :
- none
- table_id :
- Omon
- table_info :
- Creation Date:(09 May 2019) MD5:e6ef8ececc8f338646ebfb3aeed36bfc
- title :
- MPI-ESM1-2-LR output prepared for CMIP6
- variable_id :
- thetao
- variant_label :
- r1i1p1f1
- license :
- CMIP6 model data produced by MPI-M is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.
- cmor_version :
- 3.5.0
- tracking_id :
- hdl:21.14100/973afbdb-4b74-4535-8b5b-7bb668291ff3