NOAA GFDL GFDL-ESM4 model output prepared for CMIP6 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/tos_Omon_GFDL-ESM4_piControl_r1i1p1f1_gr.yaml")
ds=cat.netcdf.read()Metadata
| title | NOAA GFDL GFDL-ESM4 model output prepared for CMIP6 pre-industrial control |
| location | /shared/cmip6/data/piControl/ocean/mon/Omon/tos/NOAA-GFDL.GFDL-ESM4/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_Omon_GFDL-ESM4_piControl_r1i1p1f1_gr.yaml |
| last updated | 2020-07-17 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 180, lon: 360, time: 6000)
Coordinates:
* lat (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5
* lon (lon) float64 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5
* time (time) float64 15.5 45.0 74.5 ... 1.824e+05 1.825e+05 1.825e+05
Dimensions without coordinates: bnds
Data variables:
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(240, 180, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(240, 360, 2), meta=np.ndarray>
time_bnds (time, bnds) float64 dask.array<chunksize=(240, 2), meta=np.ndarray>
tos (time, lat, lon) float32 dask.array<chunksize=(240, 180, 360), meta=np.ndarray>
Attributes:
title: NOAA GFDL GFDL-ESM4 model output prepared for CMI...
history: File was processed by fremetar (GFDL analog of CM...
external_variables: areacello
table_id: Omon
activity_id: CMIP
branch_method: Coupled climate state after 400 years of spinup, ...
branch_time_in_child: 0.0
branch_time_in_parent: 0.0
comment: <null ref>
contact: gfdl.climate.model.info@noaa.gov
Conventions: CF-1.7 CMIP-6.0 UGRID-1.0
creation_date: 2019-05-13T21:13:01Z
data_specs_version: 01.00.27
experiment: pre-industrial control
experiment_id: piControl
forcing_index: 1
frequency: mon
further_info_url: https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GF...
grid: ocean data regridded from tripolar - nominal 0.5 ...
grid_label: gr
initialization_index: 1
institution: National Oceanic and Atmospheric Administration, ...
institution_id: NOAA-GFDL
license: CMIP6 model data produced by NOAA-GFDL is license...
mip_era: CMIP6
nominal_resolution: 1x1 degree
parent_activity_id: CMIP
parent_experiment_id: piControl-spinup
parent_mip_era: CMIP6
parent_source_id: GFDL-ESM4
parent_time_units: days since 0001-1-1
parent_variant_label: r1i1p1f1
physics_index: 1
product: model-output
realization_index: 1
realm: ocean
source: GFDL-ESM4 (2018):
atmos: GFDL-AM4.1 (Cubed-spher...
source_id: GFDL-ESM4
source_type: AOGCM AER CHEM BGC
sub_experiment: none
sub_experiment_id: none
tracking_id: hdl:21.14100/ab8348b4-c69d-4ac7-acd2-c3db7f3c0fed
variable_id: tos
variant_info: N/A
references: see further_info_url attribute
variant_label: r1i1p1f1xarray.Dataset
- bnds: 2
- lat: 180
- lon: 360
- time: 6000
- lat(lat)float64-89.5 -88.5 -87.5 ... 88.5 89.5
- long_name :
- latitude
- units :
- degrees_north
- axis :
- Y
- bounds :
- lat_bnds
- standard_name :
- latitude
- cell_methods :
- time: point
array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5, -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5, -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5, -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5, -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5, -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5, -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5, -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5, -9.5, -8.5, -7.5, -6.5, -5.5, -4.5, -3.5, -2.5, -1.5, -0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5, 10.5, 11.5, 12.5, 13.5, 14.5, 15.5, 16.5, 17.5, 18.5, 19.5, 20.5, 21.5, 22.5, 23.5, 24.5, 25.5, 26.5, 27.5, 28.5, 29.5, 30.5, 31.5, 32.5, 33.5, 34.5, 35.5, 36.5, 37.5, 38.5, 39.5, 40.5, 41.5, 42.5, 43.5, 44.5, 45.5, 46.5, 47.5, 48.5, 49.5, 50.5, 51.5, 52.5, 53.5, 54.5, 55.5, 56.5, 57.5, 58.5, 59.5, 60.5, 61.5, 62.5, 63.5, 64.5, 65.5, 66.5, 67.5, 68.5, 69.5, 70.5, 71.5, 72.5, 73.5, 74.5, 75.5, 76.5, 77.5, 78.5, 79.5, 80.5, 81.5, 82.5, 83.5, 84.5, 85.5, 86.5, 87.5, 88.5, 89.5]) - lon(lon)float640.5 1.5 2.5 ... 357.5 358.5 359.5
- long_name :
- longitude
- units :
- degrees_east
- axis :
- X
- bounds :
- lon_bnds
- standard_name :
- longitude
- cell_methods :
- time: point
array([ 0.5, 1.5, 2.5, ..., 357.5, 358.5, 359.5])
- time(time)float6415.5 45.0 ... 1.825e+05 1.825e+05
- long_name :
- time
- units :
- days since 0001-01-01 00:00:00
- axis :
- T
- calendar_type :
- noleap
- calendar :
- noleap
- bounds :
- time_bnds
- standard_name :
- time
- description :
- Temporal mean
array([1.550000e+01, 4.500000e+01, 7.450000e+01, ..., 1.824235e+05, 1.824540e+05, 1.824845e+05])
- lat_bnds(time, lat, bnds)float64dask.array<chunksize=(240, 180, 2), meta=np.ndarray>
- long_name :
- latitude bounds
- units :
- degrees_north
- axis :
- Y
Array Chunk Bytes 17.28 MB 691.20 kB Shape (6000, 180, 2) (240, 180, 2) Count 100 Tasks 25 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(240, 360, 2), meta=np.ndarray>
- long_name :
- longitude bounds
- units :
- degrees_east
- axis :
- X
Array Chunk Bytes 34.56 MB 1.38 MB Shape (6000, 360, 2) (240, 360, 2) Count 100 Tasks 25 Chunks Type float64 numpy.ndarray - time_bnds(time, bnds)float64dask.array<chunksize=(240, 2), meta=np.ndarray>
- long_name :
- time axis boundaries
- units :
- days since 0001-01-01 00:00:00
Array Chunk Bytes 96.00 kB 3.84 kB Shape (6000, 2) (240, 2) Count 75 Tasks 25 Chunks Type float64 numpy.ndarray - tos(time, lat, lon)float32dask.array<chunksize=(240, 180, 360), meta=np.ndarray>
- long_name :
- Sea Surface Temperature
- units :
- degC
- cell_methods :
- area: mean where sea time: mean
- cell_measures :
- area: areacello
- standard_name :
- sea_surface_temperature
- interp_method :
- conserve_order1
- original_name :
- tos
- comment :
- Model data on the 1x1 grid includes values in all cells for which any ocean exists on the native grid. For mapping purposes, we recommend using a land mask such as World Ocean Atlas to cover these areas of partial land. For calculating approximate integrals, we recommend multiplying by cell area (areacello).
Array Chunk Bytes 1.56 GB 62.21 MB Shape (6000, 180, 360) (240, 180, 360) Count 75 Tasks 25 Chunks Type float32 numpy.ndarray
- title :
- NOAA GFDL GFDL-ESM4 model output prepared for CMIP6 pre-industrial control
- history :
- File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_Nl8y6FcDL6,realiz_id_mNbn4PTB8f,run_id_0l1ykpVYGy]
- external_variables :
- areacello
- table_id :
- Omon
- activity_id :
- CMIP
- branch_method :
- Coupled climate state after 400 years of spinup, except land state after 800 years of spinup.
- branch_time_in_child :
- 0.0
- branch_time_in_parent :
- 0.0
- comment :
- <null ref>
- contact :
- gfdl.climate.model.info@noaa.gov
- Conventions :
- CF-1.7 CMIP-6.0 UGRID-1.0
- creation_date :
- 2019-05-13T21:13:01Z
- data_specs_version :
- 01.00.27
- experiment :
- pre-industrial control
- experiment_id :
- piControl
- forcing_index :
- 1
- frequency :
- mon
- further_info_url :
- https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GFDL-ESM4.piControl.none.r1i1p1f1
- grid :
- ocean data regridded from tripolar - nominal 0.5 deg latitude/longitude to 180,360; interpolation method: conserve_order1
- grid_label :
- gr
- initialization_index :
- 1
- institution :
- National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA
- institution_id :
- NOAA-GFDL
- license :
- CMIP6 model data produced by NOAA-GFDL 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
- nominal_resolution :
- 1x1 degree
- parent_activity_id :
- CMIP
- parent_experiment_id :
- piControl-spinup
- parent_mip_era :
- CMIP6
- parent_source_id :
- GFDL-ESM4
- parent_time_units :
- days since 0001-1-1
- parent_variant_label :
- r1i1p1f1
- physics_index :
- 1
- product :
- model-output
- realization_index :
- 1
- realm :
- ocean
- source :
- GFDL-ESM4 (2018): atmos: GFDL-AM4.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 49 levels; top level 1 Pa) ocean: GFDL-OM4p5 (GFDL-MOM6, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 75 levels; top grid cell 0-2 m) seaIce: GFDL-SIM4p5 (GFDL-SIS2.0, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 5 layers; 5 thickness categories) land: GFDL-LM4.1 aerosol: interactive atmosChem: GFDL-ATMCHEM4.1 (full atmospheric chemistry) ocnBgchem: GFDL-COBALTv2 landIce: GFDL-LM4.1 (GFDL ID: 2019_0273)
- source_id :
- GFDL-ESM4
- source_type :
- AOGCM AER CHEM BGC
- sub_experiment :
- none
- sub_experiment_id :
- none
- tracking_id :
- hdl:21.14100/ab8348b4-c69d-4ac7-acd2-c3db7f3c0fed
- variable_id :
- tos
- variant_info :
- N/A
- references :
- see further_info_url attribute
- variant_label :
- r1i1p1f1