NOAA GFDL GFDL-CM3, abrupt 4XCO2 (run 5) 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/tos_Omon_GFDL-CM3_abrupt4xCO2_r5i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | NOAA GFDL GFDL-CM3, abrupt 4XCO2 (run 5) experiment output for CMIP5 AR5 |
| location | /shared/cmip5/data/abrupt4xCO2/ocean/mon/Omon/tos/NOAA-GFDL.GFDL-CM3/r5i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_Omon_GFDL-CM3_abrupt4xCO2_r5i1p1.yaml |
| last updated | 2017-07-24 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, rlat: 200, rlon: 360, time: 120, vertices: 4)
Coordinates:
* bnds (bnds) float64 1.0 2.0
* time (time) float64 15.5 45.0 74.5 ... 3.604e+03 3.634e+03
* 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
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>
tos (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-CM3, abrupt 4XCO2 (run 5) 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 Omon (31 Jan 2011)
experiment_id: abrupt4xCO2
realization: 5
modeling_realm: ocean
tracking_id: 44fa4b24-169e-4e75-8e87-349f05e76640
Conventions: CF-1.4
references: The GFDL Data Portal (http://nomads.gfdl.noaa.gov...
comment: GFDL experiment name: CM3Z_D1_4XCO2_Q5
GFDL pare...
gfdl_experiment_name: CM3Z_D1_4XCO2_Q5
creation_date: 2012-06-11T23:54:18Z
model_id: GFDL-CM3
branch_time: 120
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
- rlat: 200
- rlon: 360
- time: 120
- vertices: 4
- bnds(bnds)float641.0 2.0
- long_name :
- vertex number
- cartesian_axis :
- N
array([1., 2.])
- time(time)float6415.5 45.0 ... 3.604e+03 3.634e+03
- 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([ 15.5, 45. , 74.5, 105. , 135.5, 166. , 196.5, 227.5, 258. , 288.5, 319. , 349.5, 380.5, 410. , 439.5, 470. , 500.5, 531. , 561.5, 592.5, 623. , 653.5, 684. , 714.5, 745.5, 775. , 804.5, 835. , 865.5, 896. , 926.5, 957.5, 988. , 1018.5, 1049. , 1079.5, 1110.5, 1140. , 1169.5, 1200. , 1230.5, 1261. , 1291.5, 1322.5, 1353. , 1383.5, 1414. , 1444.5, 1475.5, 1505. , 1534.5, 1565. , 1595.5, 1626. , 1656.5, 1687.5, 1718. , 1748.5, 1779. , 1809.5, 1840.5, 1870. , 1899.5, 1930. , 1960.5, 1991. , 2021.5, 2052.5, 2083. , 2113.5, 2144. , 2174.5, 2205.5, 2235. , 2264.5, 2295. , 2325.5, 2356. , 2386.5, 2417.5, 2448. , 2478.5, 2509. , 2539.5, 2570.5, 2600. , 2629.5, 2660. , 2690.5, 2721. , 2751.5, 2782.5, 2813. , 2843.5, 2874. , 2904.5, 2935.5, 2965. , 2994.5, 3025. , 3055.5, 3086. , 3116.5, 3147.5, 3178. , 3208.5, 3239. , 3269.5, 3300.5, 3330. , 3359.5, 3390. , 3420.5, 3451. , 3481.5, 3512.5, 3543. , 3573.5, 3604. , 3634.5]) - 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]) - 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 5 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 5 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 960 B 480 B Shape (120,) (60,) Count 6 Tasks 2 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 960 B 480 B Shape (120,) (60,) Count 6 Tasks 2 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 960 B 480 B Shape (120,) (60,) Count 6 Tasks 2 Chunks Type float64 numpy.ndarray - tos(time, rlat, rlon)float32dask.array<chunksize=(60, 200, 360), meta=np.ndarray>
- original_name :
- sst + 273.15
- cell_methods :
- time: mean
- valid_range :
- [263. 373.]
- units :
- K
- long_name :
- Sea Surface Temperature
- standard_name :
- surface_temperature
- 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-CM3_abrupt4xCO2_r0i0p0.nc areacello: areacello_fx_GFDL-CM3_abrupt4xCO2_r0i0p0.nc
- original_units :
- K
Array Chunk Bytes 34.56 MB 17.28 MB Shape (120, 200, 360) (60, 200, 360) Count 6 Tasks 2 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 1.92 kB 960 B Shape (120, 2) (60, 2) Count 6 Tasks 2 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 276.48 MB 138.24 MB Shape (120, 200, 360, 4) (60, 200, 360, 4) Count 8 Tasks 2 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 276.48 MB 138.24 MB Shape (120, 200, 360, 4) (60, 200, 360, 4) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray
- title :
- NOAA GFDL GFDL-CM3, abrupt 4XCO2 (run 5) 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 Omon (31 Jan 2011)
- experiment_id :
- abrupt4xCO2
- realization :
- 5
- modeling_realm :
- ocean
- tracking_id :
- 44fa4b24-169e-4e75-8e87-349f05e76640
- 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_Q5 GFDL parent experiment name: CM3Z_Control-1860_D1 CMIP5 experiment ID: abrupt4xCO2 Initial conditions from this experiment(CMIP5 expt 6.3-E(d) Tier 1) were taken from 01May0001 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_Q5
- creation_date :
- 2012-06-11T23:54:18Z
- model_id :
- GFDL-CM3
- branch_time :
- 120
- 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_qp9EHYrRGZ,realiz_id_oAxJ5ElsWj,run_id_n9iX7hnDtZ]
- parent_experiment_rip :
- r1i1p1