UKESM1-0-LL 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_UKESM1-0-LL_piControl_r1i1p1f2_gn.yaml")
ds=cat.netcdf.read()Metadata
| title | UKESM1-0-LL output prepared for CMIP6 |
| location | /shared/cmip6/data/piControl/ocean/mon/Omon/thetao/MOHC.UKESM1-0-LL/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/thetao_Omon_UKESM1-0-LL_piControl_r1i1p1f2_gn.yaml |
| last updated | 2020-10-23 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 360, j: 330, lev: 75, time: 13200, vertices: 4)
Coordinates:
* time (time) float64 3.962e+04 3.964e+04 ... 4.356e+05
* lev (lev) float64 0.5058 1.556 2.668 ... 5.698e+03 5.902e+03
* j (j) int32 0 1 2 3 4 5 6 ... 323 324 325 326 327 328 329
* i (i) int32 0 1 2 3 4 5 6 ... 353 354 355 356 357 358 359
latitude (j, i) float32 dask.array<chunksize=(330, 360), meta=np.ndarray>
longitude (j, i) float32 dask.array<chunksize=(330, 360), meta=np.ndarray>
Dimensions without coordinates: bnds, vertices
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(480, 2), meta=np.ndarray>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(480, 75, 2), meta=np.ndarray>
vertices_latitude (time, j, i, vertices) float32 dask.array<chunksize=(480, 330, 360, 4), meta=np.ndarray>
vertices_longitude (time, j, i, vertices) float32 dask.array<chunksize=(480, 330, 360, 4), meta=np.ndarray>
thetao (time, lev, j, i) float32 dask.array<chunksize=(480, 75, 330, 360), meta=np.ndarray>
Attributes:
Conventions: CF-1.7 CMIP-6.2
activity_id: CMIP
branch_method: standard
branch_time_in_child: 39600.0
branch_time_in_parent: 39600.0
creation_date: 2019-08-21T09:08:49Z
cv_version: 6.2.20.1
data_specs_version: 01.00.29
experiment: pre-industrial control
experiment_id: piControl
external_variables: areacello volcello
forcing_index: 2
frequency: mon
further_info_url: https://furtherinfo.es-doc.org/CMIP6.MOHC.UKESM1-...
grid: Native eORCA1 tripolar primarily 1 deg with merid...
grid_label: gn
history: 2019-08-21T08:52:03Z ; CMOR rewrote data to be co...
initialization_index: 1
institution: Met Office Hadley Centre, Fitzroy Road, Exeter, D...
institution_id: MOHC
mip_era: CMIP6
mo_runid: u-aw310
nominal_resolution: 100 km
parent_activity_id: CMIP
parent_experiment_id: piControl-spinup
parent_mip_era: CMIP6
parent_source_id: UKESM1-0-LL
parent_time_units: days since 1850-01-01-00-00-00
parent_variant_label: r1i1p1f2
physics_index: 1
product: model-output
realization_index: 1
realm: ocean
source: UKESM1.0-LL (2018):
aerosol: UKCA-GLOMAP-mode
...
source_id: UKESM1-0-LL
source_type: AOGCM AER BGC CHEM
sub_experiment: none
sub_experiment_id: none
table_id: Omon
table_info: Creation Date:(13 December 2018) MD5:2b12b5db6db1...
title: UKESM1-0-LL output prepared for CMIP6
variable_id: thetao
variable_name: thetao
variant_label: r1i1p1f2
license: CMIP6 model data produced by the Met Office Hadle...
cmor_version: 3.4.0
tracking_id: hdl:21.14100/0ea08135-15fb-4a10-bc9f-f50eadb37118xarray.Dataset
- bnds: 2
- i: 360
- j: 330
- lev: 75
- time: 13200
- vertices: 4
- time(time)float643.962e+04 3.964e+04 ... 4.356e+05
- bounds :
- time_bnds
- units :
- days since 1850-01-01
- calendar :
- 360_day
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 39615., 39645., 39675., ..., 435525., 435555., 435585.])
- lev(lev)float640.5058 1.556 ... 5.902e+03
- bounds :
- lev_bnds
- units :
- m
- axis :
- Z
- positive :
- down
- long_name :
- ocean depth coordinate
- standard_name :
- depth
array([5.057600e-01, 1.555855e+00, 2.667682e+00, 3.856280e+00, 5.140361e+00, 6.543034e+00, 8.092519e+00, 9.822750e+00, 1.177368e+01, 1.399104e+01, 1.652532e+01, 1.942980e+01, 2.275762e+01, 2.655830e+01, 3.087456e+01, 3.574020e+01, 4.118002e+01, 4.721189e+01, 5.385064e+01, 6.111284e+01, 6.902168e+01, 7.761116e+01, 8.692943e+01, 9.704131e+01, 1.080303e+02, 1.200000e+02, 1.330758e+02, 1.474062e+02, 1.631645e+02, 1.805499e+02, 1.997900e+02, 2.211412e+02, 2.448906e+02, 2.713564e+02, 3.008875e+02, 3.338628e+02, 3.706885e+02, 4.117939e+02, 4.576256e+02, 5.086399e+02, 5.652923e+02, 6.280260e+02, 6.972587e+02, 7.733683e+02, 8.566790e+02, 9.474479e+02, 1.045854e+03, 1.151991e+03, 1.265861e+03, 1.387377e+03, 1.516364e+03, 1.652568e+03, 1.795671e+03, 1.945296e+03, 2.101027e+03, 2.262422e+03, 2.429025e+03, 2.600380e+03, 2.776039e+03, 2.955570e+03, 3.138565e+03, 3.324641e+03, 3.513446e+03, 3.704657e+03, 3.897982e+03, 4.093159e+03, 4.289953e+03, 4.488155e+03, 4.687581e+03, 4.888070e+03, 5.089479e+03, 5.291683e+03, 5.494575e+03, 5.698061e+03, 5.902058e+03]) - j(j)int320 1 2 3 4 5 ... 325 326 327 328 329
- units :
- 1
- long_name :
- cell index along second dimension
array([ 0, 1, 2, ..., 327, 328, 329], dtype=int32)
- i(i)int320 1 2 3 4 5 ... 355 356 357 358 359
- units :
- 1
- long_name :
- cell index along first dimension
array([ 0, 1, 2, ..., 357, 358, 359], dtype=int32)
- latitude(j, i)float32dask.array<chunksize=(330, 360), meta=np.ndarray>
- standard_name :
- latitude
- long_name :
- latitude
- units :
- degrees_north
- bounds :
- vertices_latitude
Array Chunk Bytes 475.20 kB 475.20 kB Shape (330, 360) (330, 360) Count 110 Tasks 1 Chunks Type float32 numpy.ndarray - longitude(j, i)float32dask.array<chunksize=(330, 360), meta=np.ndarray>
- standard_name :
- longitude
- long_name :
- longitude
- units :
- degrees_east
- bounds :
- vertices_longitude
Array Chunk Bytes 475.20 kB 475.20 kB Shape (330, 360) (330, 360) Count 110 Tasks 1 Chunks Type float32 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(480, 2), meta=np.ndarray>
Array Chunk Bytes 211.20 kB 9.60 kB Shape (13200, 2) (600, 2) Count 69 Tasks 23 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(480, 75, 2), meta=np.ndarray>
Array Chunk Bytes 15.84 MB 720.00 kB Shape (13200, 75, 2) (600, 75, 2) Count 92 Tasks 23 Chunks Type float64 numpy.ndarray - vertices_latitude(time, j, i, vertices)float32dask.array<chunksize=(480, 330, 360, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 25.09 GB 1.14 GB Shape (13200, 330, 360, 4) (600, 330, 360, 4) Count 92 Tasks 23 Chunks Type float32 numpy.ndarray - vertices_longitude(time, j, i, vertices)float32dask.array<chunksize=(480, 330, 360, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 25.09 GB 1.14 GB Shape (13200, 330, 360, 4) (600, 330, 360, 4) Count 92 Tasks 23 Chunks Type float32 numpy.ndarray - thetao(time, lev, j, i)float32dask.array<chunksize=(480, 75, 330, 360), meta=np.ndarray>
- standard_name :
- sea_water_potential_temperature
- long_name :
- Sea Water Potential Temperature
- comment :
- mo: This variable is reported using a z* coordinate system rather than the z-level system indicated by the metadata. Where this is important to analysis please consider the information in time-varying variables thkcello or zfullo., CMIP_table_comment: Diagnostic should be contributed even for models using conservative temperature as prognostic field.
- units :
- degC
- original_name :
- mo: (variable_name: thetao)
- cell_methods :
- area: mean where sea time: mean
- cell_measures :
- area: areacello volume: volcello
Array Chunk Bytes 470.45 GB 21.38 GB Shape (13200, 75, 330, 360) (600, 75, 330, 360) Count 69 Tasks 23 Chunks Type float32 numpy.ndarray
- Conventions :
- CF-1.7 CMIP-6.2
- activity_id :
- CMIP
- branch_method :
- standard
- branch_time_in_child :
- 39600.0
- branch_time_in_parent :
- 39600.0
- creation_date :
- 2019-08-21T09:08:49Z
- cv_version :
- 6.2.20.1
- data_specs_version :
- 01.00.29
- experiment :
- pre-industrial control
- experiment_id :
- piControl
- external_variables :
- areacello volcello
- forcing_index :
- 2
- frequency :
- mon
- further_info_url :
- https://furtherinfo.es-doc.org/CMIP6.MOHC.UKESM1-0-LL.piControl.none.r1i1p1f2
- grid :
- Native eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude
- grid_label :
- gn
- history :
- 2019-08-21T08:52:03Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.; 2019-08-21T08:51:23Z MIP Convert v1.1.3, Python v2.7.12, Iris v1.13.0, Numpy v1.13.3, netcdftime v1.4.1.
- initialization_index :
- 1
- institution :
- Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK
- institution_id :
- MOHC
- mip_era :
- CMIP6
- mo_runid :
- u-aw310
- nominal_resolution :
- 100 km
- parent_activity_id :
- CMIP
- parent_experiment_id :
- piControl-spinup
- parent_mip_era :
- CMIP6
- parent_source_id :
- UKESM1-0-LL
- parent_time_units :
- days since 1850-01-01-00-00-00
- parent_variant_label :
- r1i1p1f2
- physics_index :
- 1
- product :
- model-output
- realization_index :
- 1
- realm :
- ocean
- source :
- UKESM1.0-LL (2018): aerosol: UKCA-GLOMAP-mode atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km) atmosChem: UKCA-StratTrop land: JULES-ES-1.0 landIce: none ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m) ocnBgchem: MEDUSA2 seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude)
- source_id :
- UKESM1-0-LL
- source_type :
- AOGCM AER BGC CHEM
- sub_experiment :
- none
- sub_experiment_id :
- none
- table_id :
- Omon
- table_info :
- Creation Date:(13 December 2018) MD5:2b12b5db6db112aa8b8b0d6c1645b121
- title :
- UKESM1-0-LL output prepared for CMIP6
- variable_id :
- thetao
- variable_name :
- thetao
- variant_label :
- r1i1p1f2
- license :
- CMIP6 model data produced by the Met Office Hadley Centre 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 at https://ukesm.ac.uk/cmip6. 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 :
- 3.4.0
- tracking_id :
- hdl:21.14100/0ea08135-15fb-4a10-bc9f-f50eadb37118