NOAA GFDL GFDL-ESM2M, GHG-only (run 1) 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/sos_Omon_GFDL-ESM2M_historicalGHG_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | NOAA GFDL GFDL-ESM2M, GHG-only (run 1) experiment output for CMIP5 AR5 |
| location | /shared/cmip5/data/historicalGHG/ocean/mon/Omon/sos/NOAA-GFDL.GFDL-ESM2M/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/sos_Omon_GFDL-ESM2M_historicalGHG_r1i1p1.yaml |
| last updated | 2014-05-30 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, rlat: 200, rlon: 360, time: 1740, vertices: 4)
Coordinates:
* rlon (rlon) float64 -279.5 -278.5 -277.5 -276.5 ... 77.5 78.5 79.5
* rlat (rlat) float64 -81.5 -80.5 -79.5 -78.5 ... 86.5 87.5 88.5 89.5
* time (time) float64 15.5 45.0 74.5 ... 5.288e+04 5.291e+04
* bnds (bnds) float64 1.0 2.0
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:
sos (time, rlat, rlon) float32 dask.array<chunksize=(60, 200, 360), 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>
average_DT (time) float64 dask.array<chunksize=(60,), 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-ESM2M, GHG-only (run 1) experiment...
institute_id: NOAA GFDL
source: GFDL-ESM2M 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: historicalGHG
realization: 1
modeling_realm: ocean
tracking_id: 9ee55027-8013-48dc-9ba6-06fdd24bb478
Conventions: CF-1.4
references: The GFDL Data Portal (http://nomads.gfdl.noaa.gov...
comment: GFDL experiment name = ESM2M-C1_only_ghg_HOG1. PC...
gfdl_experiment_name: ESM2M-C1_only_ghg_HOG1
creation_date: 2011-08-17T17:22:27Z
model_id: GFDL-ESM2M
branch_time: 58765
experiment: GHG-only
forcing: GHG (GHG includes CO2, CH4, N2O, CFC11, CFC12, HC...
frequency: mon
initialization_method: 1
parent_experiment_id: piControl
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: r1i1p1xarray.Dataset
- bnds: 2
- rlat: 200
- rlon: 360
- time: 1740
- vertices: 4
- rlon(rlon)float64-279.5 -278.5 -277.5 ... 78.5 79.5
- long_name :
- longitude in rotated pole grid
- units :
- degrees
- axis :
- X
- standard_name :
- grid_longitude
array([-279.5, -278.5, -277.5, ..., 77.5, 78.5, 79.5])
- rlat(rlat)float64-81.5 -80.5 -79.5 ... 88.5 89.5
- long_name :
- latitude in rotated pole grid
- units :
- degrees
- axis :
- Y
- standard_name :
- grid_latitude
array([-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 , -28.501426, -27.507105, -26.519792, -25.542121, -24.576562, -23.625377, -22.690584, -21.773917, -20.876803, -20.000333, -19.145246, -18.311912, -17.500333, -16.710136, -15.940584, -15.190584, -14.458711, -13.743228, -13.04212 , -12.353125, -11.673771, -11.001426, -10.333333, -9.666666, -9.002051, -8.343542, -7.695041, -7.060205, -6.442354, -5.844389, -5.268724, -4.717221, -4.191149, -3.691149, -3.217221, -2.768724, -2.344389, -1.942354, -1.560205, -1.195041, -0.843542, -0.502051, -0.166666, 0.166667, 0.502052, 0.843543, 1.195042, 1.560206, 1.942354, 2.34439 , 2.768725, 3.217222, 3.69115 , 4.19115 , 4.717222, 5.268725, 5.84439 , 6.442354, 7.060206, 7.695042, 8.343543, 9.002052, 9.666667, 10.333334, 11.001426, 11.673772, 12.353125, 13.042121, 13.743229, 14.458711, 15.190584, 15.940584, 16.710137, 17.500334, 18.311913, 19.145246, 20.000334, 20.876804, 21.773918, 22.690585, 23.625378, 24.576563, 25.542122, 26.519792, 27.507106, 28.501427, 29.500001, 30.500001, 31.500001, 32.500001, 33.500001, 34.500001, 35.500001, 36.500001, 37.500001, 38.500001, 39.500001, 40.500001, 41.500001, 42.500001, 43.500001, 44.500001, 45.500001, 46.500001, 47.500001, 48.500001, 49.500001, 50.500001, 51.500001, 52.500001, 53.500001, 54.500001, 55.500001, 56.500001, 57.500001, 58.500001, 59.500001, 60.500001, 61.500001, 62.500001, 63.500001, 64.500001, 65.500001, 66.500001, 67.500001, 68.500001, 69.500001, 70.500001, 71.500001, 72.500001, 73.500001, 74.500001, 75.500001, 76.500001, 77.500001, 78.500001, 79.500001, 80.500001, 81.500001, 82.500001, 83.500001, 84.500001, 85.500001, 86.500001, 87.500001, 88.500001, 89.500001]) - time(time)float6415.5 45.0 ... 5.288e+04 5.291e+04
- long_name :
- time
- units :
- days since 1861-01-01 00:00:00
- cartesian_axis :
- T
- calendar_type :
- noleap
- calendar :
- noleap
- bounds :
- time_bnds
- standard_name :
- time
- axis :
- T
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 5.28485e+04, 5.28790e+04, 5.29095e+04]) - bnds(bnds)float641.0 2.0
- long_name :
- vertex number
- cartesian_axis :
- N
array([1., 2.])
- 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 140 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 140 Tasks 1 Chunks Type float32 numpy.ndarray - vertices(vertices)int320 1 2 3
array([0, 1, 2, 3], dtype=int32)
- sos(time, rlat, rlon)float32dask.array<chunksize=(60, 200, 360), meta=np.ndarray>
- long_name :
- Sea Surface Salinity
- units :
- psu
- valid_range :
- [-10. 100.]
- cell_methods :
- time: mean
- standard_name :
- sea_surface_salinity
- 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/.
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_GFDL-ESM2M_historicalGHG_r0i0p0.nc areacello: areacello_fx_GFDL-ESM2M_historicalGHG_r0i0p0.nc
- original_name :
- sss
- original_units :
- psu
Array Chunk Bytes 501.12 MB 17.28 MB Shape (1740, 200, 360) (60, 200, 360) Count 87 Tasks 29 Chunks Type float32 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 13.92 kB 480 B Shape (1740,) (60,) Count 87 Tasks 29 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 13.92 kB 480 B Shape (1740,) (60,) Count 87 Tasks 29 Chunks Type float64 numpy.ndarray - average_DT(time)float64dask.array<chunksize=(60,), meta=np.ndarray>
- long_name :
- Length of average period
- units :
- days
Array Chunk Bytes 13.92 kB 480 B Shape (1740,) (60,) Count 87 Tasks 29 Chunks Type float64 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 27.84 kB 960 B Shape (1740, 2) (60, 2) Count 87 Tasks 29 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 4.01 GB 138.24 MB Shape (1740, 200, 360, 4) (60, 200, 360, 4) Count 116 Tasks 29 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 4.01 GB 138.24 MB Shape (1740, 200, 360, 4) (60, 200, 360, 4) Count 116 Tasks 29 Chunks Type float64 numpy.ndarray
- title :
- NOAA GFDL GFDL-ESM2M, GHG-only (run 1) experiment output for CMIP5 AR5
- institute_id :
- NOAA GFDL
- source :
- GFDL-ESM2M 2010 ocean: MOM4 (MOM4p1_x1_Z50_cCM2M,Tripolar360x200L50); atmosphere: AM2 (AM2p14,M45L24); sea ice: SIS (SISp2,Tripolar360x200L50); land: LM3 (LM3p7_cESM,M45)
- contact :
- gfdl.climate.model.info@noaa.gov
- project_id :
- CMIP5
- table_id :
- Table Omon (31 Jan 2011)
- experiment_id :
- historicalGHG
- realization :
- 1
- modeling_realm :
- ocean
- tracking_id :
- 9ee55027-8013-48dc-9ba6-06fdd24bb478
- 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 = ESM2M-C1_only_ghg_HOG1. PCMDI experiment name = GHG-only (run1). Initial conditions for this experiment were taken from 1 January of year 0162 of the parent experiment, ESM2M_pi-control_C1 (piControl). Only the well-mixed greenhouse gases (CO2, CH4, N2O, halons) varied during the 145 year duration of the ESM2M-C1_only_ghg_HOG1 experiment in a manner based upon observations for the late 19th and 20th centuries. Other forcing agents (tropospheric and stratospheric O3, aerosol concentrations (sulfate, black and organic carbon, sea salt, dust), and solar irradiance) were representative of conditions circa-1860, and there was no land use (i.e., a "potential vegetation" integration) or volcanic aerosols. The direct effect of tropospheric aerosols is calculated by the model, but not the indirect effects.
- gfdl_experiment_name :
- ESM2M-C1_only_ghg_HOG1
- creation_date :
- 2011-08-17T17:22:27Z
- model_id :
- GFDL-ESM2M
- branch_time :
- 58765
- experiment :
- GHG-only
- forcing :
- GHG (GHG includes CO2, CH4, N2O, CFC11, CFC12, HCFC22, CFC113)
- frequency :
- mon
- initialization_method :
- 1
- parent_experiment_id :
- piControl
- 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_vXBaSTXCP1,realiz_id_rJD4wEFHPW,run_id_W4YOlDTAH8]
- parent_experiment_rip :
- r1i1p1