NOAA GFDL GFDL-CM3, abrupt 4XCO2 (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/cli_Amon_GFDL-CM3_abrupt4xCO2_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | NOAA GFDL GFDL-CM3, abrupt 4XCO2 (run 1) experiment output for CMIP5 AR5 |
| location | /shared/cmip5/data/abrupt4xCO2/atmos/mon/Amon/cli/NOAA-GFDL.GFDL-CM3/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/cli_Amon_GFDL-CM3_abrupt4xCO2_r1i1p1.yaml |
| last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 90, lev: 48, lon: 144, time: 1800)
Coordinates:
* lat (lat) float64 -89.0 -87.0 -85.0 -83.0 ... 83.0 85.0 87.0 89.0
* lon (lon) float64 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8
* lev (lev) float64 0.9961 0.9874 0.9767 ... 3.801e-05 1.711e-05
* time (time) float64 15.5 45.0 74.5 ... 5.467e+04 5.47e+04 5.473e+04
Dimensions without coordinates: bnds
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>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(60, 90, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(60, 144, 2), meta=np.ndarray>
ps (time, lat, lon) float32 dask.array<chunksize=(60, 90, 144), meta=np.ndarray>
time_bnds (time, bnds) float64 dask.array<chunksize=(60, 2), meta=np.ndarray>
cli (time, lev, lat, lon) float32 dask.array<chunksize=(60, 48, 90, 144), meta=np.ndarray>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(60, 48, 2), meta=np.ndarray>
a (time, lev) float64 dask.array<chunksize=(60, 48), meta=np.ndarray>
a_bnds (time, lev, bnds) float64 dask.array<chunksize=(60, 48, 2), meta=np.ndarray>
b (time, lev) float64 dask.array<chunksize=(60, 48), meta=np.ndarray>
b_bnds (time, lev, bnds) float64 dask.array<chunksize=(60, 48, 2), meta=np.ndarray>
p0 (time) float32 101325.0 101325.0 101325.0 ... 101325.0 101325.0
Attributes:
title: NOAA GFDL GFDL-CM3, abrupt 4XCO2 (run 1) experime...
institute_id: NOAA GFDL
source: GFDL-CM3 2010 atmosphere: AM3 (AM3p9,C48L48); sea...
contact: gfdl.climate.model.info@noaa.gov
project_id: CMIP5
table_id: Table Amon (31 Jan 2011)
experiment_id: abrupt4xCO2
realization: 1
modeling_realm: atmos
tracking_id: d90d3f55-7c3b-41c1-9e0a-b1294264f9a0
Conventions: CF-1.4
references: The GFDL Data Portal (http://nomads.gfdl.noaa.gov...
comment: GFDL experiment name: CM3Z_D1_4XCO2_Q1
GFDL pare...
gfdl_experiment_name: CM3Z_D1_4XCO2_Q1
creation_date: 2011-10-21T03:09:31Z
model_id: GFDL-CM3
branch_time: 0.0
experiment: abrupt 4XCO2
forcing: GHG (GHG includes time-variation for CO2 only)
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
- lat: 90
- lev: 48
- lon: 144
- time: 1800
- lat(lat)float64-89.0 -87.0 -85.0 ... 87.0 89.0
- long_name :
- latitude
- units :
- degrees_north
- bounds :
- lat_bnds
- standard_name :
- latitude
- axis :
- Y
array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67., -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43., -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19., -17., -15., -13., -11., -9., -7., -5., -3., -1., 1., 3., 5., 7., 9., 11., 13., 15., 17., 19., 21., 23., 25., 27., 29., 31., 33., 35., 37., 39., 41., 43., 45., 47., 49., 51., 53., 55., 57., 59., 61., 63., 65., 67., 69., 71., 73., 75., 77., 79., 81., 83., 85., 87., 89.]) - lon(lon)float641.25 3.75 6.25 ... 356.2 358.8
- long_name :
- longitude
- units :
- degrees_east
- bounds :
- lon_bnds
- standard_name :
- longitude
- axis :
- X
array([ 1.25, 3.75, 6.25, 8.75, 11.25, 13.75, 16.25, 18.75, 21.25, 23.75, 26.25, 28.75, 31.25, 33.75, 36.25, 38.75, 41.25, 43.75, 46.25, 48.75, 51.25, 53.75, 56.25, 58.75, 61.25, 63.75, 66.25, 68.75, 71.25, 73.75, 76.25, 78.75, 81.25, 83.75, 86.25, 88.75, 91.25, 93.75, 96.25, 98.75, 101.25, 103.75, 106.25, 108.75, 111.25, 113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75, 136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25, 158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75, 181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25, 203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75, 226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25, 248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75, 271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25, 293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75, 316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25, 338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75]) - lev(lev)float640.9961 0.9874 ... 1.711e-05
- long_name :
- hybrid sigma pressure coordinate
- units :
- 1
- positive :
- down
- axis :
- Z
- bounds :
- lev_bnds
- formula :
- p(n,k,j,i) = a(k)*p0 + b(k)*ps(n,j,i)
- formula_terms :
- p0: p0 a: a b: b ps: ps
- standard_name :
- atmosphere_hybrid_sigma_pressure_coordinate
array([9.961099e-01, 9.873945e-01, 9.767074e-01, 9.637827e-01, 9.482209e-01, 9.295540e-01, 9.072550e-01, 8.807399e-01, 8.493971e-01, 8.126292e-01, 7.698747e-01, 7.206968e-01, 6.648809e-01, 6.026212e-01, 5.350591e-01, 4.649418e-01, 3.963630e-01, 3.331552e-01, 2.773648e-01, 2.292632e-01, 1.882549e-01, 1.535420e-01, 1.243594e-01, 9.999907e-02, 7.981281e-02, 6.321172e-02, 4.966566e-02, 3.870170e-02, 2.990173e-02, 2.289962e-02, 1.737780e-02, 1.306353e-02, 9.724891e-03, 7.166759e-03, 5.226664e-03, 3.770814e-03, 2.690258e-03, 1.897296e-03, 1.322170e-03, 9.100661e-04, 6.184560e-04, 4.147679e-04, 2.743885e-04, 1.787529e-04, 1.136180e-04, 6.865516e-05, 3.801024e-05, 1.710525e-05]) - time(time)float6415.5 45.0 ... 5.47e+04 5.473e+04
- long_name :
- time
- units :
- days since 0001-01-01 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, ..., 5.46735e+04, 5.47040e+04, 5.47345e+04])
- average_DT(time)float64dask.array<chunksize=(60,), meta=np.ndarray>
- long_name :
- Length of average period
- units :
- days
Array Chunk Bytes 14.40 kB 480 B Shape (1800,) (60,) Count 90 Tasks 30 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 0001-01-01 00:00:00
Array Chunk Bytes 14.40 kB 480 B Shape (1800,) (60,) Count 90 Tasks 30 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 0001-01-01 00:00:00
Array Chunk Bytes 14.40 kB 480 B Shape (1800,) (60,) Count 90 Tasks 30 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(60, 90, 2), meta=np.ndarray>
Array Chunk Bytes 2.59 MB 86.40 kB Shape (1800, 90, 2) (60, 90, 2) Count 120 Tasks 30 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(60, 144, 2), meta=np.ndarray>
Array Chunk Bytes 4.15 MB 138.24 kB Shape (1800, 144, 2) (60, 144, 2) Count 120 Tasks 30 Chunks Type float64 numpy.ndarray - ps(time, lat, lon)float32dask.array<chunksize=(60, 90, 144), meta=np.ndarray>
- long_name :
- Surface Air Pressure
- units :
- Pa
- cell_methods :
- time: mean
- time_avg_info :
- average_T1,average_T2,average_DT
- interp_method :
- conserve_order2
- standard_name :
- surface_air_pressure
Array Chunk Bytes 93.31 MB 3.11 MB Shape (1800, 90, 144) (60, 90, 144) Count 90 Tasks 30 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 0001-01-01 00:00:00
Array Chunk Bytes 28.80 kB 960 B Shape (1800, 2) (60, 2) Count 90 Tasks 30 Chunks Type float64 numpy.ndarray - cli(time, lev, lat, lon)float32dask.array<chunksize=(60, 48, 90, 144), meta=np.ndarray>
- cell_methods :
- time: mean
- interp_method :
- conserve_order1
- long_name :
- Mass Fraction of Cloud Ice
- original_name :
- tot_ice_amt
- units :
- 1
- standard_name :
- mass_fraction_of_cloud_ice_in_air
- original_units :
- kg/kg
- cell_measures :
- area: areacella
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation areacella: areacella_fx_GFDL-CM3_abrupt4xCO2_r0i0p0.nc
Array Chunk Bytes 4.48 GB 149.30 MB Shape (1800, 48, 90, 144) (60, 48, 90, 144) Count 90 Tasks 30 Chunks Type float32 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(60, 48, 2), meta=np.ndarray>
- formula :
- p(n,k,j,i) = a(k)*p0 + b(k)*ps(n,j,i)
- formula_terms :
- p0: p0 a: a_bnds b: b_bnds ps: ps
- standard_name :
- atmosphere_hybrid_sigma_pressure_coordinate
- units :
- 1
Array Chunk Bytes 1.38 MB 46.08 kB Shape (1800, 48, 2) (60, 48, 2) Count 120 Tasks 30 Chunks Type float64 numpy.ndarray - a(time, lev)float64dask.array<chunksize=(60, 48), meta=np.ndarray>
- bounds :
- a_bnds
- long_name :
- vertical coordinate formula term: a(k)
Array Chunk Bytes 691.20 kB 23.04 kB Shape (1800, 48) (60, 48) Count 120 Tasks 30 Chunks Type float64 numpy.ndarray - a_bnds(time, lev, bnds)float64dask.array<chunksize=(60, 48, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: a(k+1/2)
Array Chunk Bytes 1.38 MB 46.08 kB Shape (1800, 48, 2) (60, 48, 2) Count 120 Tasks 30 Chunks Type float64 numpy.ndarray - b(time, lev)float64dask.array<chunksize=(60, 48), meta=np.ndarray>
- bounds :
- b_bnds
- long_name :
- vertical coordinate formula term: b(k)
Array Chunk Bytes 691.20 kB 23.04 kB Shape (1800, 48) (60, 48) Count 120 Tasks 30 Chunks Type float64 numpy.ndarray - b_bnds(time, lev, bnds)float64dask.array<chunksize=(60, 48, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k+1/2)
Array Chunk Bytes 1.38 MB 46.08 kB Shape (1800, 48, 2) (60, 48, 2) Count 120 Tasks 30 Chunks Type float64 numpy.ndarray - p0(time)float32101325.0 101325.0 ... 101325.0
- long_name :
- reference pressure for hybrid sigma coordinate
- units :
- Pa
array([101325., 101325., 101325., ..., 101325., 101325., 101325.], dtype=float32)
- title :
- NOAA GFDL GFDL-CM3, abrupt 4XCO2 (run 1) experiment output for CMIP5 AR5
- institute_id :
- NOAA GFDL
- source :
- GFDL-CM3 2010 atmosphere: AM3 (AM3p9,C48L48); sea ice: SIS (SISp2,Tripolar360x200); land: LM3 (LM3p7_cCM3,C48); ocean: MOM4 (MOM4p1_x1_Z50_cCM3,Tripolar360x200L50)
- contact :
- gfdl.climate.model.info@noaa.gov
- project_id :
- CMIP5
- table_id :
- Table Amon (31 Jan 2011)
- experiment_id :
- abrupt4xCO2
- realization :
- 1
- modeling_realm :
- atmos
- tracking_id :
- d90d3f55-7c3b-41c1-9e0a-b1294264f9a0
- 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: CM3Z_D1_4XCO2_Q1 GFDL parent experiment name: CM3Z_Control-1860_D1 CMIP5 experiment ID: abrupt4xCO2 Initial conditions from this experiment(CMIP5 expt. 6.3 (Core)) were taken from 01Jan0001 of the 1860 control model experiment CM3Z_Control-1860_D1. 1) the ocean model has been activated 2) 1860 forcings (as in 1860 control run) 3) 4x preindustrial CO2 (instantaneous) (CO2 = 1144.60000 ppmv) 4) Dynamic vegetation with 4xCO2 for photosynthesis This model includes direct and indirect aerosol effects.
- gfdl_experiment_name :
- CM3Z_D1_4XCO2_Q1
- creation_date :
- 2011-10-21T03:09:31Z
- model_id :
- GFDL-CM3
- branch_time :
- 0.0
- experiment :
- abrupt 4XCO2
- forcing :
- GHG (GHG includes time-variation for CO2 only)
- 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_xBq9er5qK5,realiz_id_j82dkXhYIf,run_id_9YZt9nE72O]
- parent_experiment_rip :
- r1i1p1