NOAA GFDL GFDL-CM4 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-CM4_piControl_r1i1p1f1_gr.yaml")
ds=cat.netcdf.read()Metadata
| title | NOAA GFDL GFDL-CM4 model output prepared for CMIP6 pre-industrial control |
| location | /shared/cmip6/data/piControl/ocean/mon/Omon/tos/NOAA-GFDL.GFDL-CM4/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_Omon_GFDL-CM4_piControl_r1i1p1f1_gr.yaml |
| last updated | 2020-06-25 |
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 5.477e+04 5.48e+04 ... 2.372e+05 2.372e+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-CM4 model output prepared for CMIP...
history: File was processed by fremetar (GFDL analog of CM...
external_variables: areacello
table_id: Omon
activity_id: CMIP
branch_method: standard
branch_time_in_child: 0.0
branch_time_in_parent: 54750.0
comment: <null ref>
contact: gfdl.climate.model.info@noaa.gov
Conventions: CF-1.7 CMIP-6.0 UGRID-1.0
creation_date: 2019-02-12T09:16:38Z
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 0.25...
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-CM4
parent_time_units: days since 1700-1-1
parent_variant_label: r1i1p1f1
physics_index: 1
product: model-output
realization_index: 1
realm: ocean
source: GFDL-CM4 (2018):
aerosol: interactive
atmos: G...
source_id: GFDL-CM4
source_type: AOGCM
sub_experiment: none
sub_experiment_id: none
tracking_id: hdl:21.14100/aaca1c4d-d81c-4d87-99f5-5bfa58aaf586
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)float645.477e+04 5.48e+04 ... 2.372e+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([ 54765.5, 54795. , 54824.5, ..., 237173.5, 237204. , 237234.5])
- 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-CM4 model output prepared for CMIP6 pre-industrial control
- history :
- File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_h00qmi1FiU,realiz_id_TqObYMN1oJ,run_id_SSxnjuGvnY]
- external_variables :
- areacello
- table_id :
- Omon
- activity_id :
- CMIP
- branch_method :
- standard
- branch_time_in_child :
- 0.0
- branch_time_in_parent :
- 54750.0
- comment :
- <null ref>
- contact :
- gfdl.climate.model.info@noaa.gov
- Conventions :
- CF-1.7 CMIP-6.0 UGRID-1.0
- creation_date :
- 2019-02-12T09:16:38Z
- 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-CM4.piControl.none.r1i1p1f1
- grid :
- ocean data regridded from tripolar - nominal 0.25 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-CM4
- parent_time_units :
- days since 1700-1-1
- parent_variant_label :
- r1i1p1f1
- physics_index :
- 1
- product :
- model-output
- realization_index :
- 1
- realm :
- ocean
- source :
- GFDL-CM4 (2018): aerosol: interactive atmos: GFDL-AM4.0.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa) atmosChem: fast chemistry, aerosol only land: GFDL-LM4.0.1 (1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 20 levels; bot level 10m); land:Veg:unnamed (dynamic vegetation, dynamic land use); land:Hydro:unnamed (soil water and ice, multi-layer snow, rivers and lakes) landIce: GFDL-LM4.0.1 ocean: GFDL-OM4p25 (GFDL-MOM6, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 75 levels; top grid cell 0-2 m) ocnBgchem: GFDL-BLINGv2 seaIce: GFDL-SIM4p25 (GFDL-SIS2.0, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 5 layers; 5 thickness categories) (GFDL ID: 2018_0770)
- source_id :
- GFDL-CM4
- source_type :
- AOGCM
- sub_experiment :
- none
- sub_experiment_id :
- none
- tracking_id :
- hdl:21.14100/aaca1c4d-d81c-4d87-99f5-5bfa58aaf586
- variable_id :
- tos
- variant_info :
- N/A
- references :
- see further_info_url attribute
- variant_label :
- r1i1p1f1