NOAA GFDL GFDL-ESM2M, 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/cl_Amon_GFDL-ESM2M_abrupt4xCO2_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | NOAA GFDL GFDL-ESM2M, abrupt 4XCO2 (run 1) experiment output for CMIP5 AR5 |
| location | /shared/cmip5/data/abrupt4xCO2/atmos/mon/Amon/cl/NOAA-GFDL.GFDL-ESM2M/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/cl_Amon_GFDL-ESM2M_abrupt4xCO2_r1i1p1.yaml |
| last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 90, lev: 24, lon: 144, time: 3600)
Coordinates:
* lat (lat) float64 -89.49 -87.98 -85.96 -83.93 ... 85.96 87.98 89.49
* lon (lon) float64 1.25 3.75 6.25 8.75 ... 351.3 353.8 356.2 358.8
* bnds (bnds) float64 1.0 2.0
* lev (lev) float64 0.9961 0.9874 0.9765 ... 0.05234 0.01909 0.00365
* time (time) float64 15.5 45.0 74.5 ... 1.094e+05 1.095e+05 1.095e+05
Data variables:
a (time, lev) float64 dask.array<chunksize=(60, 24), meta=np.ndarray>
a_bnds (time, lev, bnds) float64 dask.array<chunksize=(60, 24, 2), meta=np.ndarray>
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>
b (time, lev) float64 dask.array<chunksize=(60, 24), meta=np.ndarray>
b_bnds (time, lev, bnds) float64 dask.array<chunksize=(60, 24, 2), meta=np.ndarray>
cl (time, lev, lat, lon) float32 dask.array<chunksize=(60, 24, 90, 144), meta=np.ndarray>
p0 (time) float32 101325.0 101325.0 101325.0 ... 101325.0 101325.0
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(60, 24, 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>
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>
Attributes:
title: NOAA GFDL GFDL-ESM2M, abrupt 4XCO2 (run 1) experi...
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 Amon (31 Jan 2011)
experiment_id: abrupt4xCO2
realization: 1
modeling_realm: atmos
tracking_id: a7824833-25ec-45c7-983c-eafc2824c7d1
Conventions: CF-1.4
references: The GFDL Data Portal (http://nomads.gfdl.noaa.gov...
comment: GFDL experiment name = ESM2M-C1_abrupt-4xco2_S1. ...
gfdl_experiment_name: ESM2M-C1_abrupt-4xco2_S1
creation_date: 2011-11-01T13:54:02Z
model_id: GFDL-ESM2M
branch_time: 0.0
experiment: abrupt 4XCO2
forcing: GHG (GHG includes only time varying CO2)
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
- lat: 90
- lev: 24
- lon: 144
- time: 3600
- lat(lat)float64-89.49 -87.98 ... 87.98 89.49
- long_name :
- latitude
- units :
- degrees_north
- standard_name :
- latitude
- axis :
- Y
- bounds :
- lat_bnds
array([-89.494382, -87.977528, -85.955056, -83.932584, -81.910112, -79.88764 , -77.865169, -75.842697, -73.820225, -71.797753, -69.775281, -67.752809, -65.730337, -63.707865, -61.685393, -59.662921, -57.640449, -55.617978, -53.595506, -51.573034, -49.550562, -47.52809 , -45.505618, -43.483146, -41.460674, -39.438202, -37.41573 , -35.393258, -33.370787, -31.348315, -29.325843, -27.303371, -25.280899, -23.258427, -21.235955, -19.213483, -17.191011, -15.168539, -13.146067, -11.123596, -9.101124, -7.078652, -5.05618 , -3.033708, -1.011236, 1.011236, 3.033708, 5.05618 , 7.078652, 9.101124, 11.123596, 13.146067, 15.168539, 17.191011, 19.213483, 21.235955, 23.258427, 25.280899, 27.303371, 29.325843, 31.348315, 33.370787, 35.393258, 37.41573 , 39.438202, 41.460674, 43.483146, 45.505618, 47.52809 , 49.550562, 51.573034, 53.595506, 55.617978, 57.640449, 59.662921, 61.685393, 63.707865, 65.730337, 67.752809, 69.775281, 71.797753, 73.820225, 75.842697, 77.865169, 79.88764 , 81.910112, 83.932584, 85.955056, 87.977528, 89.494382]) - lon(lon)float641.25 3.75 6.25 ... 356.2 358.8
- long_name :
- longitude
- units :
- degrees_east
- standard_name :
- longitude
- axis :
- X
- bounds :
- lon_bnds
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]) - bnds(bnds)float641.0 2.0
- long_name :
- vertex number
- cartesian_axis :
- N
array([1., 2.])
- lev(lev)float640.9961 0.9874 ... 0.01909 0.00365
- 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([0.996108, 0.987369, 0.976503, 0.963111, 0.946793, 0.92715 , 0.903778, 0.876277, 0.844242, 0.807268, 0.764944, 0.716859, 0.662593, 0.601717, 0.533786, 0.458325, 0.378087, 0.298944, 0.224749, 0.157381, 0.09913 , 0.05234 , 0.019088, 0.00365 ]) - time(time)float6415.5 45.0 ... 1.095e+05 1.095e+05
- 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([1.550000e+01, 4.500000e+01, 7.450000e+01, ..., 1.094235e+05, 1.094540e+05, 1.094845e+05])
- a(time, lev)float64dask.array<chunksize=(60, 24), meta=np.ndarray>
- bounds :
- a_bnds
- long_name :
- vertical coordinate formula term: a(k)
Array Chunk Bytes 691.20 kB 11.52 kB Shape (3600, 24) (60, 24) Count 240 Tasks 60 Chunks Type float64 numpy.ndarray - a_bnds(time, lev, bnds)float64dask.array<chunksize=(60, 24, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: a(k+1/2)
Array Chunk Bytes 1.38 MB 23.04 kB Shape (3600, 24, 2) (60, 24, 2) Count 240 Tasks 60 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 28.80 kB 480 B Shape (3600,) (60,) Count 180 Tasks 60 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 28.80 kB 480 B Shape (3600,) (60,) Count 180 Tasks 60 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 28.80 kB 480 B Shape (3600,) (60,) Count 180 Tasks 60 Chunks Type float64 numpy.ndarray - b(time, lev)float64dask.array<chunksize=(60, 24), meta=np.ndarray>
- bounds :
- b_bnds
- long_name :
- vertical coordinate formula term: b(k)
Array Chunk Bytes 691.20 kB 11.52 kB Shape (3600, 24) (60, 24) Count 240 Tasks 60 Chunks Type float64 numpy.ndarray - b_bnds(time, lev, bnds)float64dask.array<chunksize=(60, 24, 2), meta=np.ndarray>
- long_name :
- vertical coordinate formula term: b(k+1/2)
Array Chunk Bytes 1.38 MB 23.04 kB Shape (3600, 24, 2) (60, 24, 2) Count 240 Tasks 60 Chunks Type float64 numpy.ndarray - cl(time, lev, lat, lon)float32dask.array<chunksize=(60, 24, 90, 144), meta=np.ndarray>
- cell_methods :
- time: mean
- long_name :
- Cloud Area Fraction
- original_name :
- tot_cloud_area
- units :
- %
- standard_name :
- cloud_area_fraction_in_atmosphere_layer
- original_units :
- percent
- cell_measures :
- area: areacella
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation areacella: areacella_fx_GFDL-ESM2M_abrupt4xCO2_r0i0p0.nc
Array Chunk Bytes 4.48 GB 74.65 MB Shape (3600, 24, 90, 144) (60, 24, 90, 144) Count 180 Tasks 60 Chunks Type float32 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) - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(60, 24, 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 23.04 kB Shape (3600, 24, 2) (60, 24, 2) Count 240 Tasks 60 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
- standard_name :
- surface_air_pressure
Array Chunk Bytes 186.62 MB 3.11 MB Shape (3600, 90, 144) (60, 90, 144) Count 180 Tasks 60 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 57.60 kB 960 B Shape (3600, 2) (60, 2) Count 180 Tasks 60 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(60, 90, 2), meta=np.ndarray>
Array Chunk Bytes 5.18 MB 86.40 kB Shape (3600, 90, 2) (60, 90, 2) Count 240 Tasks 60 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(60, 144, 2), meta=np.ndarray>
Array Chunk Bytes 8.29 MB 138.24 kB Shape (3600, 144, 2) (60, 144, 2) Count 240 Tasks 60 Chunks Type float64 numpy.ndarray
- title :
- NOAA GFDL GFDL-ESM2M, abrupt 4XCO2 (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 Amon (31 Jan 2011)
- experiment_id :
- abrupt4xCO2
- realization :
- 1
- modeling_realm :
- atmos
- tracking_id :
- a7824833-25ec-45c7-983c-eafc2824c7d1
- 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_abrupt-4xco2_S1. PCMDI experiment name = abrupt 4XCO2 (run1). Initial conditions for this experiment were taken from 1 January of year 1 of the 1860 control model experiment named ESM2M_pi-control_C1. In the ESM2M-C1_abrupt-4xco2_S1 experiment, atmospheric CO2 levels were prescribed to increase from their initial mixing ratio level of 286 ppmv to an instantaneous quadrupling (1144 ppm). CO2 levels were held constant at 1144 ppmv for the duration of the 300 year long experiment. For the entire 300 year duration of the experiment, all non-CO2 forcing agents (CH4, N2O, tropospheric and stratospheric O3, tropospheric sulfates, black and organic carbon, dust, sea salt, and solar irradiance) were held constant at values representative of year 1860. This integration did not include land use change (i.e., a "potential vegetation" integration) and volcanic aerosols were zero. The direct effect of tropospheric aerosols is calculated by the model, but not the indirect effects.
- gfdl_experiment_name :
- ESM2M-C1_abrupt-4xco2_S1
- creation_date :
- 2011-11-01T13:54:02Z
- model_id :
- GFDL-ESM2M
- branch_time :
- 0.0
- experiment :
- abrupt 4XCO2
- forcing :
- GHG (GHG includes only time varying CO2)
- 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_VS4zKA8rMu,realiz_id_HCefohLpzE,run_id_W64jw2gOFZ]
- parent_experiment_rip :
- N/A