FGOALS-g3 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_FGOALS-g3_piControl_r1i1p1f1_gn.yaml")
ds=cat.netcdf.read()Metadata
| title | FGOALS-g3 output prepared for CMIP6 |
| location | /shared/cmip6/data/piControl/ocean/mon/Omon/thetao/CAS.FGOALS-g3/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/thetao_Omon_FGOALS-g3_piControl_r1i1p1f1_gn.yaml |
| last updated | 2020-10-21 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 360, j: 218, lev: 30, time: 8400)
Coordinates:
* time (time) float64 7.265e+04 7.268e+04 ... 3.281e+05 3.281e+05
* lev (lev) float64 5.0 15.0 25.0 ... 3.856e+03 4.538e+03 5.244e+03
* j (j) int32 0 1 2 3 4 5 6 7 8 ... 210 211 212 213 214 215 216 217
* i (i) int32 0 1 2 3 4 5 6 7 8 ... 352 353 354 355 356 357 358 359
latitude (j, i) float64 dask.array<chunksize=(218, 360), meta=np.ndarray>
longitude (j, i) float64 dask.array<chunksize=(218, 360), meta=np.ndarray>
Dimensions without coordinates: bnds
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(600, 2), meta=np.ndarray>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(600, 30, 2), meta=np.ndarray>
thetao (time, lev, j, i) float32 dask.array<chunksize=(600, 30, 218, 360), meta=np.ndarray>
Attributes:
Conventions: CF-1.7 CMIP-6.2
activity_id: CMIP
branch_method: Spin-up documentation
branch_time_in_child: 0.0
branch_time_in_parent: 73000.0
contact: Lijuan Li(ljli@mail.iap.ac.cn)
creation_date: 2019-11-26T01:41:15Z
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.CAS.FGOALS-g...
grid: gs1x1
grid_label: gn
history: 2019-11-25T15:23:33Z ;rewrote data to be consiste...
initialization_index: 1
institution: Chinese Academy of Sciences, Beijing 100029, China
institution_id: CAS
mip_era: CMIP6
nominal_resolution: 100 km
parent_activity_id: CMIP
parent_experiment_id: piControl-spinup
parent_mip_era: CMIP6
parent_source_id: FGOALS-g3
parent_time_units: days since 0001-01-01
parent_variant_label: r1i1p1f1
physics_index: 1
product: model-output
realization_index: 1
realm: ocean
run_variant: forcing: black carbon aerosol only
source: FGOALS-g3 (2017):
aerosol: none
atmos: GAMIL2 ...
source_id: FGOALS-g3
source_type: AOGCM
sub_experiment: none
sub_experiment_id: none
table_id: Omon
table_info: Creation Date:(09 May 2019) MD5:cde930676e68ac678...
title: FGOALS-g3 output prepared for CMIP6
tracking_id: hdl:21.14100/ea8b0ec1-af01-4d7f-ba66-a816fc8a5a02
variable_id: thetao
variant_label: r1i1p1f1
license: CMIP6 model data produced by LASG, Institute of A...
cmor_version: 3.4.0xarray.Dataset
- bnds: 2
- i: 360
- j: 218
- lev: 30
- time: 8400
- time(time)float647.265e+04 7.268e+04 ... 3.281e+05
- bounds :
- time_bnds
- units :
- days since 0001-01-01 00:00:00
- calendar :
- 365_day
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 72650.5, 72680. , 72709.5, ..., 328058.5, 328089. , 328119.5])
- lev(lev)float645.0 15.0 ... 4.538e+03 5.244e+03
- bounds :
- lev_bnds
- units :
- m
- axis :
- Z
- positive :
- down
- long_name :
- ocean depth coordinate
- standard_name :
- depth
array([5.000000e+00, 1.500000e+01, 2.500000e+01, 3.500000e+01, 4.500000e+01, 5.500000e+01, 6.500000e+01, 7.500000e+01, 8.500000e+01, 9.500000e+01, 1.050000e+02, 1.150000e+02, 1.250000e+02, 1.350000e+02, 1.450000e+02, 1.569303e+02, 1.784277e+02, 2.225018e+02, 3.031057e+02, 4.325961e+02, 6.211931e+02, 8.765334e+02, 1.203337e+03, 1.603200e+03, 2.074526e+03, 2.612596e+03, 3.209772e+03, 3.855835e+03, 4.538428e+03, 5.243597e+03]) - j(j)int320 1 2 3 4 5 ... 213 214 215 216 217
- units :
- 1
- long_name :
- cell index along second dimension
array([ 0, 1, 2, ..., 215, 216, 217], 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)float64dask.array<chunksize=(218, 360), meta=np.ndarray>
- standard_name :
- latitude
- long_name :
- latitude
- units :
- degrees_north
Array Chunk Bytes 627.84 kB 627.84 kB Shape (218, 360) (218, 360) Count 65 Tasks 1 Chunks Type float64 numpy.ndarray - longitude(j, i)float64dask.array<chunksize=(218, 360), meta=np.ndarray>
- standard_name :
- longitude
- long_name :
- longitude
- units :
- degrees_east
Array Chunk Bytes 627.84 kB 627.84 kB Shape (218, 360) (218, 360) Count 65 Tasks 1 Chunks Type float64 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(600, 2), meta=np.ndarray>
Array Chunk Bytes 134.40 kB 9.60 kB Shape (8400, 2) (600, 2) Count 42 Tasks 14 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(600, 30, 2), meta=np.ndarray>
Array Chunk Bytes 4.03 MB 288.00 kB Shape (8400, 30, 2) (600, 30, 2) Count 56 Tasks 14 Chunks Type float64 numpy.ndarray - thetao(time, lev, j, i)float32dask.array<chunksize=(600, 30, 218, 360), 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
- cell_methods :
- area: mean where sea time: mean
- cell_measures :
- area: areacello volume: volcello
- history :
- 2019-11-26T01:38:58Z altered by CMOR: replaced missing value flag (1e+35) with standard missing value (1e+20).
Array Chunk Bytes 79.11 GB 5.65 GB Shape (8400, 30, 218, 360) (600, 30, 218, 360) Count 42 Tasks 14 Chunks Type float32 numpy.ndarray
- Conventions :
- CF-1.7 CMIP-6.2
- activity_id :
- CMIP
- branch_method :
- Spin-up documentation
- branch_time_in_child :
- 0.0
- branch_time_in_parent :
- 73000.0
- contact :
- Lijuan Li(ljli@mail.iap.ac.cn)
- creation_date :
- 2019-11-26T01:41:15Z
- 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.CAS.FGOALS-g3.piControl.none.r1i1p1f1
- grid :
- gs1x1
- grid_label :
- gn
- history :
- 2019-11-25T15:23:33Z ;rewrote data to be consistent with CMIP for variable uo found in table Omon.
- initialization_index :
- 1
- institution :
- Chinese Academy of Sciences, Beijing 100029, China
- institution_id :
- CAS
- mip_era :
- CMIP6
- nominal_resolution :
- 100 km
- parent_activity_id :
- CMIP
- parent_experiment_id :
- piControl-spinup
- parent_mip_era :
- CMIP6
- parent_source_id :
- FGOALS-g3
- parent_time_units :
- days since 0001-01-01
- parent_variant_label :
- r1i1p1f1
- physics_index :
- 1
- product :
- model-output
- realization_index :
- 1
- realm :
- ocean
- run_variant :
- forcing: black carbon aerosol only
- source :
- FGOALS-g3 (2017): aerosol: none atmos: GAMIL2 (180 x 90 longitude/latitude; 26 levels; top level 2.19hPa) atmosChem: none land: CLM4.0 landIce: none ocean: LICOM3.0 (LICOM3.0, tripolar primarily 1deg; 360 x 218 longitude/latitude; 30 levels; top grid cell 0-10 m) ocnBgchem: none seaIce: CICE4.0
- source_id :
- FGOALS-g3
- source_type :
- AOGCM
- sub_experiment :
- none
- sub_experiment_id :
- none
- table_id :
- Omon
- table_info :
- Creation Date:(09 May 2019) MD5:cde930676e68ac6780d5e4c62d3898f6
- title :
- FGOALS-g3 output prepared for CMIP6
- tracking_id :
- hdl:21.14100/ea8b0ec1-af01-4d7f-ba66-a816fc8a5a02
- variable_id :
- thetao
- variant_label :
- r1i1p1f1
- license :
- CMIP6 model data produced by LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences 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) http://model.lasg.ac.cn. 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