thetao_Omon_CESM2-WACCM-FV2_piControl_r1i1p1f1_gn
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_CESM2-WACCM-FV2_piControl_r1i1p1f1_gn.yaml")
ds=cat.netcdf.read()Metadata
| title | thetao_Omon_CESM2-WACCM-FV2_piControl_r1i1p1f1_gn |
| location | /shared/cmip6/data/piControl/ocean/mon/Omon/thetao/NCAR.CESM2-WACCM-FV2/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/thetao_Omon_CESM2-WACCM-FV2_piControl_r1i1p1f1_gn.yaml |
| last updated | 2020-10-05 |
Dataset Contents
<xarray.Dataset>
Dimensions: (d2: 2, lev: 60, nlat: 384, nlon: 320, time: 6000, vertices: 4)
Coordinates:
lat (nlat, nlon) float64 dask.array<chunksize=(384, 320), meta=np.ndarray>
* lev (lev) float64 500.0 1.5e+03 2.5e+03 ... 5.125e+05 5.375e+05
lon (nlat, nlon) float64 dask.array<chunksize=(384, 320), meta=np.ndarray>
* nlat (nlat) int32 1 2 3 4 5 6 7 8 ... 377 378 379 380 381 382 383 384
* nlon (nlon) int32 1 2 3 4 5 6 7 8 ... 313 314 315 316 317 318 319 320
* time (time) float64 14.54 44.0 73.5 ... 1.824e+05 1.825e+05 1.825e+05
Dimensions without coordinates: d2, vertices
Data variables:
thetao (time, lev, nlat, nlon) float32 dask.array<chunksize=(588, 60, 384, 320), meta=np.ndarray>
time_bnds (time, d2) float64 dask.array<chunksize=(588, 2), meta=np.ndarray>
lat_bnds (time, nlat, nlon, vertices) float32 dask.array<chunksize=(588, 384, 320, 4), meta=np.ndarray>
lon_bnds (time, nlat, nlon, vertices) float32 dask.array<chunksize=(588, 384, 320, 4), meta=np.ndarray>
lev_bnds (time, lev, d2) float32 dask.array<chunksize=(588, 60, 2), 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: 0.0
case_id: 1558
cesm_casename: b.e21.BWma1850.f19_g17.CMIP6-piControl-WACCM-MA-2...
contact: cesm_cmip6@ucar.edu
creation_date: 2019-10-10T17:36:32Z
data_specs_version: 01.00.31
experiment: A pre-industrial control simulation with non-evol...
experiment_id: piControl
external_variables: areacello volcello
forcing_index: 1
frequency: mon
further_info_url: https://furtherinfo.es-doc.org/CMIP6.NCAR.CESM2-W...
grid: native gx1v7 displaced pole grid (384x320 latxlon)
grid_label: gn
initialization_index: 1
institution: National Center for Atmospheric Research, Climate...
institution_id: NCAR
license: CMIP6 model data produced by <The National Center...
mip_era: CMIP6
model_doi_url: https://doi.org/10.5065/D67H1H0V
nominal_resolution: 100 km
parent_activity_id: CMIP
parent_experiment_id: piControl-spinup
parent_mip_era: CMIP6
parent_source_id: CESM2-WACCM-FV2
parent_time_units: days since 0001-01-01 00:00:00
parent_variant_label: r1i1p1f1
physics_index: 1
product: model-output
realization_index: 1
realm: ocean
source: CESM2 (2017): atmosphere: CAM6 (1.9x2.5 finite vo...
source_id: CESM2-WACCM-FV2
source_type: AOGCM BGC CHEM AER
sub_experiment: none
sub_experiment_id: none
table_id: Omon
tracking_id: hdl:21.14100/ba6b922d-e33d-47d5-a6a9-1102171376ff
variable_id: thetao
variant_info: CMIP6 CESM2 piControl experiment with WACCM6-FV2 ...
variant_label: r1i1p1f1xarray.Dataset
- d2: 2
- lev: 60
- nlat: 384
- nlon: 320
- time: 6000
- vertices: 4
- lat(nlat, nlon)float64dask.array<chunksize=(384, 320), meta=np.ndarray>
- axis :
- Y
- bounds :
- lat_bnds
- standard_name :
- latitude
- title :
- Latitude
- type :
- double
- units :
- degrees_north
- valid_max :
- 90.0
- valid_min :
- -90.0
Array Chunk Bytes 983.04 kB 983.04 kB Shape (384, 320) (384, 320) Count 50 Tasks 1 Chunks Type float64 numpy.ndarray - lev(lev)float64500.0 1.5e+03 ... 5.375e+05
- axis :
- Z
- bounds :
- lev_bnds
- positive :
- down
- standard_name :
- olevel
- title :
- ocean model level
- type :
- double
- units :
- centimeters
array([5.000000e+02, 1.500000e+03, 2.500000e+03, 3.500000e+03, 4.500000e+03, 5.500000e+03, 6.500000e+03, 7.500000e+03, 8.500000e+03, 9.500000e+03, 1.050000e+04, 1.150000e+04, 1.250000e+04, 1.350000e+04, 1.450000e+04, 1.550000e+04, 1.650984e+04, 1.754790e+04, 1.862913e+04, 1.976603e+04, 2.097114e+04, 2.225783e+04, 2.364088e+04, 2.513702e+04, 2.676542e+04, 2.854837e+04, 3.051192e+04, 3.268680e+04, 3.510935e+04, 3.782276e+04, 4.087846e+04, 4.433777e+04, 4.827367e+04, 5.277280e+04, 5.793729e+04, 6.388626e+04, 7.075633e+04, 7.870025e+04, 8.788252e+04, 9.847059e+04, 1.106204e+05, 1.244567e+05, 1.400497e+05, 1.573946e+05, 1.764003e+05, 1.968944e+05, 2.186457e+05, 2.413972e+05, 2.649001e+05, 2.889385e+05, 3.133405e+05, 3.379793e+05, 3.627670e+05, 3.876452e+05, 4.125768e+05, 4.375392e+05, 4.625190e+05, 4.875083e+05, 5.125028e+05, 5.375000e+05]) - lon(nlat, nlon)float64dask.array<chunksize=(384, 320), meta=np.ndarray>
- axis :
- X
- bounds :
- lon_bnds
- standard_name :
- longitude
- title :
- Longitude
- type :
- double
- units :
- degrees_east
- valid_max :
- 360.0
- valid_min :
- 0.0
Array Chunk Bytes 983.04 kB 983.04 kB Shape (384, 320) (384, 320) Count 50 Tasks 1 Chunks Type float64 numpy.ndarray - nlat(nlat)int321 2 3 4 5 6 ... 380 381 382 383 384
- long_name :
- cell index along second dimension
- units :
- 1
array([ 1, 2, 3, ..., 382, 383, 384], dtype=int32)
- nlon(nlon)int321 2 3 4 5 6 ... 316 317 318 319 320
- long_name :
- cell index along first dimension
- units :
- 1
array([ 1, 2, 3, ..., 318, 319, 320], dtype=int32)
- time(time)float6414.54 44.0 ... 1.825e+05 1.825e+05
- axis :
- T
- bounds :
- time_bnds
- standard_name :
- time
- title :
- time
- type :
- double
- units :
- days since 0001-01-01 00:00:00
- calendar :
- 365_day
array([1.454167e+01, 4.400000e+01, 7.350000e+01, ..., 1.824225e+05, 1.824530e+05, 1.824835e+05])
- thetao(time, lev, nlat, nlon)float32dask.array<chunksize=(588, 60, 384, 320), meta=np.ndarray>
- cell_measures :
- area: areacello volume: volcello
- cell_methods :
- area: mean where sea time: mean
- comment :
- TEMP
- description :
- Diagnostic should be contributed even for models using conservative temperature as prognostic field.
- frequency :
- mon
- id :
- thetao
- long_name :
- Sea Water Potential Temperature
- mipTable :
- Omon
- out_name :
- thetao
- prov :
- Omon ((isd.003))
- realm :
- ocean
- standard_name :
- sea_water_potential_temperature
- time :
- time
- time_label :
- time-mean
- time_title :
- Temporal mean
- title :
- Sea Water Potential Temperature
- type :
- real
- units :
- degC
- variable_id :
- thetao
Array Chunk Bytes 176.95 GB 17.69 GB Shape (6000, 60, 384, 320) (600, 60, 384, 320) Count 33 Tasks 11 Chunks Type float32 numpy.ndarray - time_bnds(time, d2)float64dask.array<chunksize=(588, 2), meta=np.ndarray>
- calendar :
- noleap
- units :
- days since 0001-01-01 00:00:00
Array Chunk Bytes 96.00 kB 9.60 kB Shape (6000, 2) (600, 2) Count 33 Tasks 11 Chunks Type float64 numpy.ndarray - lat_bnds(time, nlat, nlon, vertices)float32dask.array<chunksize=(588, 384, 320, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 11.80 GB 1.18 GB Shape (6000, 384, 320, 4) (600, 384, 320, 4) Count 44 Tasks 11 Chunks Type float32 numpy.ndarray - lon_bnds(time, nlat, nlon, vertices)float32dask.array<chunksize=(588, 384, 320, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 11.80 GB 1.18 GB Shape (6000, 384, 320, 4) (600, 384, 320, 4) Count 44 Tasks 11 Chunks Type float32 numpy.ndarray - lev_bnds(time, lev, d2)float32dask.array<chunksize=(588, 60, 2), meta=np.ndarray>
- units :
- m
Array Chunk Bytes 2.88 MB 288.00 kB Shape (6000, 60, 2) (600, 60, 2) Count 44 Tasks 11 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 :
- 0.0
- case_id :
- 1558
- cesm_casename :
- b.e21.BWma1850.f19_g17.CMIP6-piControl-WACCM-MA-2deg.001
- contact :
- cesm_cmip6@ucar.edu
- creation_date :
- 2019-10-10T17:36:32Z
- data_specs_version :
- 01.00.31
- experiment :
- A pre-industrial control simulation with non-evolving pre-industrial conditions. Conditions chosen to be representative of the period prior to the onset of large-scale industrialization, with 1850 being the reference year. The piControl starts after an initial climate spin-up, during which the climate begins to come into balance with the forcing. The recommended minimum length for the piControl is 500 years.
- experiment_id :
- piControl
- external_variables :
- areacello volcello
- forcing_index :
- 1
- frequency :
- mon
- further_info_url :
- https://furtherinfo.es-doc.org/CMIP6.NCAR.CESM2-WACCM-FV2.piControl.none.r1i1p1f1
- grid :
- native gx1v7 displaced pole grid (384x320 latxlon)
- grid_label :
- gn
- initialization_index :
- 1
- institution :
- National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA
- institution_id :
- NCAR
- license :
- CMIP6 model data produced by <The National Center for Atmospheric Research> 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)[]. 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.
- mip_era :
- CMIP6
- model_doi_url :
- https://doi.org/10.5065/D67H1H0V
- nominal_resolution :
- 100 km
- parent_activity_id :
- CMIP
- parent_experiment_id :
- piControl-spinup
- parent_mip_era :
- CMIP6
- parent_source_id :
- CESM2-WACCM-FV2
- parent_time_units :
- days since 0001-01-01 00:00:00
- parent_variant_label :
- r1i1p1f1
- physics_index :
- 1
- product :
- model-output
- realization_index :
- 1
- realm :
- ocean
- source :
- CESM2 (2017): atmosphere: CAM6 (1.9x2.5 finite volume grid; 144 x 96 longitude/latitude; 70 levels; top level 4.5e-6 mb); ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m); sea_ice: CICE5.1 (same grid as ocean); land: CLM5 1.9x2.5 finite volume grid; 144 x 96 longitude/latitude; 70 levels; top level 4.5e-6 mb); aerosol: MAM4 (1.9x2.5 finite volume grid; 144 x 96 longitude/latitude; 70 levels; top level 4.5e-6 mb); atmosChem: WACCM (1.9x2.5 finite volume grid; 144 x 96 longitude/latitude; 70 levels; top level 4.5e-6 mb; landIce: CISM2.1; ocnBgchem: MARBL (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m)
- source_id :
- CESM2-WACCM-FV2
- source_type :
- AOGCM BGC CHEM AER
- sub_experiment :
- none
- sub_experiment_id :
- none
- table_id :
- Omon
- tracking_id :
- hdl:21.14100/ba6b922d-e33d-47d5-a6a9-1102171376ff
- variable_id :
- thetao
- variant_info :
- CMIP6 CESM2 piControl experiment with WACCM6-FV2 (1.9 degree x 2.5 degree) with middle atmosphere chemistry, interactive land (CLM5, 1.9 degree x 2.5 degree), coupled ocean (POP2) with biogeochemistry (MARBL), interactive sea ice (CICE5.1), and non-evolving land ice (CISM2.1)
- variant_label :
- r1i1p1f1