NOAA GFDL GFDL-CM2p1, historical (run 8) experiment output for CMIP5 AR5
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tauuo_Omon_GFDL-CM2p1_historical_r8i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | NOAA GFDL GFDL-CM2p1, historical (run 8) experiment output for CMIP5 AR5 |
| location | /shared/cmip5/data/historical/ocean/mon/Omon/tauuo/NOAA-GFDL.GFDL-CM2p1/r8i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tauuo_Omon_GFDL-CM2p1_historical_r8i1p1.yaml |
| last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, rlat: 200, rlon: 360, time: 2160, vertices: 4)
Coordinates:
* bnds (bnds) float64 1.0 2.0
* time (time) float64 15.5 45.0 74.5 ... 6.567e+04 6.57e+04 6.573e+04
* rlon (rlon) float64 -279.0 -278.0 -277.0 -276.0 ... 78.0 79.0 80.0
* rlat (rlat) float64 -81.0 -80.0 -79.0 -78.0 ... 87.0 88.0 89.0 90.0
lat (rlat, rlon) float32 dask.array<chunksize=(200, 360), meta=np.ndarray>
lon (rlat, rlon) float32 dask.array<chunksize=(200, 360), meta=np.ndarray>
* vertices (vertices) int32 0 1 2 3
Data variables:
average_DT (time) float64 dask.array<chunksize=(60,), meta=np.ndarray>
average_T1 (time) float64 dask.array<chunksize=(60,), meta=np.ndarray>
average_T2 (time) float64 dask.array<chunksize=(60,), meta=np.ndarray>
tauuo (time, rlat, rlon) float32 dask.array<chunksize=(60, 200, 360), meta=np.ndarray>
time_bnds (time, bnds) float64 dask.array<chunksize=(60, 2), meta=np.ndarray>
lat_vertices (time, rlat, rlon, vertices) float64 dask.array<chunksize=(60, 200, 360, 4), meta=np.ndarray>
lon_vertices (time, rlat, rlon, vertices) float64 dask.array<chunksize=(60, 200, 360, 4), meta=np.ndarray>
Attributes:
title: NOAA GFDL GFDL-CM2p1, historical (run 8) experime...
institute_id: NOAA GFDL
source: GFDL-CM2p1 2010 ocean: MOM4 (MOM4p1_x1_Z50_cCM2M,...
contact: gfdl.climate.model.info@noaa.gov
project_id: CMIP5
table_id: Table Omon (31 Jan 2011)
experiment_id: historical
realization: 8
modeling_realm: ocean
tracking_id: 6416e46b-7e09-4983-b35b-aa91a253a436
Conventions: CF-1.4
references: The GFDL Data Portal (http://nomads.gfdl.noaa.gov...
comment: GFDL experiment name = CM2.1RG_1861_2040_AllForc_...
gfdl_experiment_name: CM2.1RG_1861_2040_AllForc_rcp4.5
creation_date: 2012-05-07T13:18:23Z
model_id: GFDL-CM2p1
branch_time: 0.0
experiment: historical
forcing: GHG,SD,Oz,Sl,Vl,SS,BC,MD,OC (GHG includes CO2, CH...
frequency: mon
initialization_method: 1
parent_experiment_id: N/A
physics_version: 1
product: output1
institution: NOAA GFDL(201 Forrestal Rd, Princeton, NJ, 08540)
history: File was processed by fremetar (GFDL analog of CM...
parent_experiment_rip: N/Axarray.Dataset
- bnds: 2
- rlat: 200
- rlon: 360
- time: 2160
- vertices: 4
- bnds(bnds)float641.0 2.0
- long_name :
- vertex number
- cartesian_axis :
- N
array([1., 2.])
- time(time)float6415.5 45.0 ... 6.57e+04 6.573e+04
- long_name :
- time
- units :
- days since 1861-01-01 00:00:00
- cartesian_axis :
- T
- calendar_type :
- julian
- calendar :
- julian
- bounds :
- time_bnds
- standard_name :
- time
- axis :
- T
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 6.56685e+04, 6.56990e+04, 6.57295e+04]) - rlon(rlon)float64-279.0 -278.0 -277.0 ... 79.0 80.0
- long_name :
- longitude in rotated pole grid
- units :
- degrees
- axis :
- X
- standard_name :
- grid_longitude
array([-279., -278., -277., ..., 78., 79., 80.])
- rlat(rlat)float64-81.0 -80.0 -79.0 ... 89.0 90.0
- long_name :
- latitude in rotated pole grid
- units :
- degrees
- axis :
- Y
- standard_name :
- grid_latitude
array([-8.100000e+01, -8.000000e+01, -7.900000e+01, -7.800000e+01, -7.700000e+01, -7.600000e+01, -7.500000e+01, -7.400000e+01, -7.300000e+01, -7.200000e+01, -7.100000e+01, -7.000000e+01, -6.900000e+01, -6.800000e+01, -6.700000e+01, -6.600000e+01, -6.500000e+01, -6.400000e+01, -6.300000e+01, -6.200000e+01, -6.100000e+01, -6.000000e+01, -5.900000e+01, -5.800000e+01, -5.700000e+01, -5.600000e+01, -5.500000e+01, -5.400000e+01, -5.300000e+01, -5.200000e+01, -5.100000e+01, -5.000000e+01, -4.900000e+01, -4.800000e+01, -4.700000e+01, -4.600000e+01, -4.500000e+01, -4.400000e+01, -4.300000e+01, -4.200000e+01, -4.100000e+01, -4.000000e+01, -3.900000e+01, -3.800000e+01, -3.700000e+01, -3.600000e+01, -3.500000e+01, -3.400000e+01, -3.300000e+01, -3.200000e+01, -3.100000e+01, -3.000000e+01, -2.900071e+01, -2.800427e+01, -2.701345e+01, -2.603096e+01, -2.505934e+01, -2.410097e+01, -2.315798e+01, -2.223225e+01, -2.132536e+01, -2.043857e+01, -1.957279e+01, -1.872858e+01, -1.790612e+01, -1.710523e+01, -1.632536e+01, -1.556558e+01, -1.482465e+01, -1.410097e+01, -1.339267e+01, -1.269762e+01, -1.201345e+01, -1.133760e+01, -1.066738e+01, -1.000000e+01, -9.334359e+00, -8.672797e+00, -8.019291e+00, -7.377623e+00, -6.751279e+00, -6.143371e+00, -5.556557e+00, -4.992973e+00, -4.454185e+00, -3.941149e+00, -3.454185e+00, -2.992973e+00, -2.556557e+00, -2.143371e+00, -1.751279e+00, -1.377623e+00, -1.019291e+00, -6.727968e-01, -3.343589e-01, 4.000000e-07, 3.343597e-01, 6.727976e-01, 1.019292e+00, 1.377624e+00, 1.751280e+00, 2.143372e+00, 2.556558e+00, 2.992974e+00, 3.454186e+00, 3.941150e+00, 4.454186e+00, 4.992974e+00, 5.556558e+00, 6.143372e+00, 6.751280e+00, 7.377624e+00, 8.019292e+00, 8.672798e+00, 9.334360e+00, 1.000000e+01, 1.066738e+01, 1.133760e+01, 1.201345e+01, 1.269762e+01, 1.339268e+01, 1.410097e+01, 1.482465e+01, 1.556558e+01, 1.632536e+01, 1.710524e+01, 1.790612e+01, 1.872858e+01, 1.957279e+01, 2.043857e+01, 2.132536e+01, 2.223225e+01, 2.315798e+01, 2.410097e+01, 2.505934e+01, 2.603096e+01, 2.701345e+01, 2.800427e+01, 2.900071e+01, 3.000000e+01, 3.100000e+01, 3.200000e+01, 3.300000e+01, 3.400000e+01, 3.500000e+01, 3.600000e+01, 3.700000e+01, 3.800000e+01, 3.900000e+01, 4.000000e+01, 4.100000e+01, 4.200000e+01, 4.300000e+01, 4.400000e+01, 4.500000e+01, 4.600000e+01, 4.700000e+01, 4.800000e+01, 4.900000e+01, 5.000000e+01, 5.100000e+01, 5.200000e+01, 5.300000e+01, 5.400000e+01, 5.500000e+01, 5.600000e+01, 5.700000e+01, 5.800000e+01, 5.900000e+01, 6.000000e+01, 6.100000e+01, 6.200000e+01, 6.300000e+01, 6.400000e+01, 6.500000e+01, 6.600000e+01, 6.700000e+01, 6.800000e+01, 6.900000e+01, 7.000000e+01, 7.100000e+01, 7.200000e+01, 7.300000e+01, 7.400000e+01, 7.500000e+01, 7.600000e+01, 7.700000e+01, 7.800000e+01, 7.900000e+01, 8.000000e+01, 8.100000e+01, 8.200000e+01, 8.300000e+01, 8.400000e+01, 8.500000e+01, 8.600000e+01, 8.700000e+01, 8.800000e+01, 8.900000e+01, 9.000000e+01]) - lat(rlat, rlon)float32dask.array<chunksize=(200, 360), meta=np.ndarray>
- long_name :
- latitude coordinate
- units :
- degrees_north
- standard_name :
- latitude
- bounds :
- lat_vertices
Array Chunk Bytes 288.00 kB 288.00 kB Shape (200, 360) (200, 360) Count 175 Tasks 1 Chunks Type float32 numpy.ndarray - lon(rlat, rlon)float32dask.array<chunksize=(200, 360), meta=np.ndarray>
- long_name :
- longitude coordinate
- units :
- degrees_east
- standard_name :
- longitude
- bounds :
- lon_vertices
Array Chunk Bytes 288.00 kB 288.00 kB Shape (200, 360) (200, 360) Count 175 Tasks 1 Chunks Type float32 numpy.ndarray - vertices(vertices)int320 1 2 3
array([0, 1, 2, 3], dtype=int32)
- average_DT(time)float64dask.array<chunksize=(60,), meta=np.ndarray>
- long_name :
- Length of average period
- units :
- days
Array Chunk Bytes 17.28 kB 480 B Shape (2160,) (60,) Count 108 Tasks 36 Chunks Type float64 numpy.ndarray - average_T1(time)float64dask.array<chunksize=(60,), meta=np.ndarray>
- long_name :
- Start time for average period
- units :
- days since 1861-01-01 00:00:00
Array Chunk Bytes 17.28 kB 480 B Shape (2160,) (60,) Count 108 Tasks 36 Chunks Type float64 numpy.ndarray - average_T2(time)float64dask.array<chunksize=(60,), meta=np.ndarray>
- long_name :
- End time for average period
- units :
- days since 1861-01-01 00:00:00
Array Chunk Bytes 17.28 kB 480 B Shape (2160,) (60,) Count 108 Tasks 36 Chunks Type float64 numpy.ndarray - tauuo(time, rlat, rlon)float32dask.array<chunksize=(60, 200, 360), meta=np.ndarray>
- long_name :
- Surface Downward X Stress
- units :
- N m-2
- valid_range :
- [-10. 10.]
- cell_methods :
- time: mean area: mean where sea
- standard_name :
- surface_downward_x_stress
- cell_measures :
- area: areacello
- comments :
- Note: This model output is presented on the model's tripolar grid. The North Pole singularity is avoided by using this nonregular grid north of 65N. More information about the ocean and sea ice model's grid can be found at http://nomads.gfdl.noaa.gov/.
- original_name :
- tau_x
- original_units :
- N/m^2
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_GFDL-CM2p1_historical_r0i0p0.nc areacello: areacello_fx_GFDL-CM2p1_historical_r0i0p0.nc
Array Chunk Bytes 622.08 MB 17.28 MB Shape (2160, 200, 360) (60, 200, 360) Count 108 Tasks 36 Chunks Type float32 numpy.ndarray - time_bnds(time, bnds)float64dask.array<chunksize=(60, 2), meta=np.ndarray>
- long_name :
- time axis boundaries
- units :
- days since 1861-01-01 00:00:00
Array Chunk Bytes 34.56 kB 960 B Shape (2160, 2) (60, 2) Count 108 Tasks 36 Chunks Type float64 numpy.ndarray - lat_vertices(time, rlat, rlon, vertices)float64dask.array<chunksize=(60, 200, 360, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 4.98 GB 138.24 MB Shape (2160, 200, 360, 4) (60, 200, 360, 4) Count 144 Tasks 36 Chunks Type float64 numpy.ndarray - lon_vertices(time, rlat, rlon, vertices)float64dask.array<chunksize=(60, 200, 360, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 4.98 GB 138.24 MB Shape (2160, 200, 360, 4) (60, 200, 360, 4) Count 144 Tasks 36 Chunks Type float64 numpy.ndarray
- title :
- NOAA GFDL GFDL-CM2p1, historical (run 8) experiment output for CMIP5 AR5
- institute_id :
- NOAA GFDL
- source :
- GFDL-CM2p1 2010 ocean: MOM4 (MOM4p1_x1_Z50_cCM2M,Tripolar360x200L50); atmosphere: AM2 (AM2p14,M45L24); sea ice: SIS (SISp2,Tripolar360x200L50); land: LM2 (LM2,M45)
- contact :
- gfdl.climate.model.info@noaa.gov
- project_id :
- CMIP5
- table_id :
- Table Omon (31 Jan 2011)
- experiment_id :
- historical
- realization :
- 8
- modeling_realm :
- ocean
- tracking_id :
- 6416e46b-7e09-4983-b35b-aa91a253a436
- Conventions :
- CF-1.4
- references :
- The GFDL Data Portal (http://nomads.gfdl.noaa.gov/) provides access to NOAA/GFDL's publicly available model input and output data sets. From this web site one can view and download data sets and documentation, including those related to the GFDL coupled models experiments run for the IPCC's 5th Assessment Report and the US CCSP.
- comment :
- GFDL experiment name = CM2.1RG_1861_2040_AllForc_rcp4.5 PCMDI experiment name = CM2.1RG_1861_2040_AllForc_rcp4.5. Historical CM2.1 M45L24 run initialized from 600 year control. Model forced with ?????? until year 2006. rcp45 scenario forcing therafter to year 2040
- gfdl_experiment_name :
- CM2.1RG_1861_2040_AllForc_rcp4.5
- creation_date :
- 2012-05-07T13:18:23Z
- model_id :
- GFDL-CM2p1
- branch_time :
- 0.0
- experiment :
- historical
- forcing :
- GHG,SD,Oz,Sl,Vl,SS,BC,MD,OC (GHG includes CO2, CH4, N2O)
- frequency :
- mon
- initialization_method :
- 1
- parent_experiment_id :
- N/A
- physics_version :
- 1
- product :
- output1
- institution :
- NOAA GFDL(201 Forrestal Rd, Princeton, NJ, 08540)
- history :
- File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_dWPUDeNgXe,realiz_id_n8u64LBDqy,run_id_elG9yBUiAS]
- parent_experiment_rip :
- N/A