CCSM4 model output prepared for CMIP5 historical
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/wap_Amon_CCSM4_historical_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | CCSM4 model output prepared for CMIP5 historical |
| location | /shared/cmip5/data/historical/atmos/mon/Amon/wap/NCAR.CCSM4/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/wap_Amon_CCSM4_historical_r1i1p1.yaml |
| last updated | 2013-07-25 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 192, lon: 288, plev: 17, time: 1872)
Coordinates:
* time (time) float64 15.5 45.0 74.5 ... 5.686e+04 5.689e+04 5.692e+04
* plev (plev) float64 1e+05 9.25e+04 8.5e+04 7e+04 ... 3e+03 2e+03 1e+03
* lat (lat) float64 -90.0 -89.06 -88.12 -87.17 ... 88.12 89.06 90.0
* lon (lon) float64 0.0 1.25 2.5 3.75 5.0 ... 355.0 356.2 357.5 358.8
Dimensions without coordinates: bnds
Data variables:
time_bnds (time, bnds) float64 dask.array<chunksize=(600, 2), meta=np.ndarray>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(600, 192, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(600, 288, 2), meta=np.ndarray>
wap (time, plev, lat, lon) float32 dask.array<chunksize=(600, 17, 192, 288), meta=np.ndarray>
Attributes:
institution: NCAR (National Center for Atmospheric Resea...
institute_id: NCAR
experiment_id: historical
source: CCSM4
model_id: CCSM4
forcing: Sl GHG Vl SS Ds SD BC MD OC Oz AA LU
parent_experiment_id: piControl
parent_experiment_rip: r1i1p1
branch_time: 937.0
contact: cesm_data@ucar.edu
references: Gent P. R., et.al. 2011: The Community Clim...
initialization_method: 1
physics_version: 1
tracking_id: a4f5e98a-cde8-4bf1-950f-a44e6846a668
acknowledgements: The CESM project is supported by the Nation...
cesm_casename: b40.20th.track1.1deg.008
cesm_repotag: ccsm4_0_beta43
cesm_compset: B20TRCN
resolution: f09_g16 (0.9x1.25_gx1v6)
forcing_note: Additional information on the external forc...
processed_by: strandwg on copper.cgd.ucar.edu at 20111104...
processing_code_information: Last Changed Rev: 442 Last Changed Date: 20...
product: output
experiment: historical
frequency: mon
creation_date: 2011-11-04T21:17:08Z
history: 2011-11-04T21:17:08Z CMOR rewrote data to c...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Amon (26 July 2011) 976b7fd1d9e1be31d...
title: CCSM4 model output prepared for CMIP5 histo...
parent_experiment: pre-industrial control
modeling_realm: atmos
realization: 1
cmor_version: 2.7.1xarray.Dataset
- bnds: 2
- lat: 192
- lon: 288
- plev: 17
- time: 1872
- time(time)float6415.5 45.0 ... 5.689e+04 5.692e+04
- bounds :
- time_bnds
- units :
- days since 1850-01-01 00:00:00
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([1.55000e+01, 4.50000e+01, 7.45000e+01, ..., 5.68635e+04, 5.68940e+04, 5.69245e+04]) - plev(plev)float641e+05 9.25e+04 ... 2e+03 1e+03
- units :
- Pa
- axis :
- Z
- positive :
- down
- long_name :
- pressure
- standard_name :
- air_pressure
array([100000., 92500., 85000., 70000., 60000., 50000., 40000., 30000., 25000., 20000., 15000., 10000., 7000., 5000., 3000., 2000., 1000.]) - lat(lat)float64-90.0 -89.06 -88.12 ... 89.06 90.0
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-90. , -89.057592, -88.115183, -87.172775, -86.230366, -85.287958, -84.34555 , -83.403141, -82.460733, -81.518325, -80.575916, -79.633508, -78.691099, -77.748691, -76.806283, -75.863874, -74.921466, -73.979058, -73.036649, -72.094241, -71.151832, -70.209424, -69.267016, -68.324607, -67.382199, -66.439791, -65.497382, -64.554974, -63.612565, -62.670157, -61.727749, -60.78534 , -59.842932, -58.900524, -57.958115, -57.015707, -56.073298, -55.13089 , -54.188482, -53.246073, -52.303665, -51.361257, -50.418848, -49.47644 , -48.534031, -47.591623, -46.649215, -45.706806, -44.764398, -43.82199 , -42.879581, -41.937173, -40.994764, -40.052356, -39.109948, -38.167539, -37.225131, -36.282723, -35.340314, -34.397906, -33.455497, -32.513089, -31.570681, -30.628272, -29.685864, -28.743455, -27.801047, -26.858639, -25.91623 , -24.973822, -24.031414, -23.089005, -22.146597, -21.204188, -20.26178 , -19.319372, -18.376963, -17.434555, -16.492147, -15.549738, -14.60733 , -13.664921, -12.722513, -11.780105, -10.837696, -9.895288, -8.95288 , -8.010471, -7.068063, -6.125654, -5.183246, -4.240838, -3.298429, -2.356021, -1.413613, -0.471204, 0.471204, 1.413613, 2.356021, 3.298429, 4.240838, 5.183246, 6.125654, 7.068063, 8.010471, 8.95288 , 9.895288, 10.837696, 11.780105, 12.722513, 13.664921, 14.60733 , 15.549738, 16.492147, 17.434555, 18.376963, 19.319372, 20.26178 , 21.204188, 22.146597, 23.089005, 24.031414, 24.973822, 25.91623 , 26.858639, 27.801047, 28.743455, 29.685864, 30.628272, 31.570681, 32.513089, 33.455497, 34.397906, 35.340314, 36.282723, 37.225131, 38.167539, 39.109948, 40.052356, 40.994764, 41.937173, 42.879581, 43.82199 , 44.764398, 45.706806, 46.649215, 47.591623, 48.534031, 49.47644 , 50.418848, 51.361257, 52.303665, 53.246073, 54.188482, 55.13089 , 56.073298, 57.015707, 57.958115, 58.900524, 59.842932, 60.78534 , 61.727749, 62.670157, 63.612565, 64.554974, 65.497382, 66.439791, 67.382199, 68.324607, 69.267016, 70.209424, 71.151832, 72.094241, 73.036649, 73.979058, 74.921466, 75.863874, 76.806283, 77.748691, 78.691099, 79.633508, 80.575916, 81.518325, 82.460733, 83.403141, 84.34555 , 85.287958, 86.230366, 87.172775, 88.115183, 89.057592, 90. ]) - lon(lon)float640.0 1.25 2.5 ... 356.2 357.5 358.8
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 0. , 1.25, 2.5 , ..., 356.25, 357.5 , 358.75])
- time_bnds(time, bnds)float64dask.array<chunksize=(600, 2), meta=np.ndarray>
Array Chunk Bytes 29.95 kB 10.75 kB Shape (1872, 2) (672, 2) Count 9 Tasks 3 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(600, 192, 2), meta=np.ndarray>
Array Chunk Bytes 5.75 MB 2.06 MB Shape (1872, 192, 2) (672, 192, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(600, 288, 2), meta=np.ndarray>
Array Chunk Bytes 8.63 MB 3.10 MB Shape (1872, 288, 2) (672, 288, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - wap(time, plev, lat, lon)float32dask.array<chunksize=(600, 17, 192, 288), meta=np.ndarray>
- standard_name :
- lagrangian_tendency_of_air_pressure
- long_name :
- omega (=dp/dt)
- comment :
- OMEGA interpolated to standard plevs, CMIP5_table_comment: commonly referred to as ""omega"", this represents the vertical component of velocity in pressure coordinates (positive down)
- units :
- Pa s-1
- original_name :
- OMEGA
- original_units :
- Pa/s
- history :
- 2011-11-04T21:17:08Z altered by CMOR: Converted units from 'Pa/s' to 'Pa s-1'. 2011-11-04T21:17:08Z altered by CMOR: Reordered dimensions, original order: plev lat lon time. 2011-11-04T21:17:08Z altered by CMOR: replaced missing value flag (-1e+32) with standard missing value (1e+20).
- cell_methods :
- time: mean (interval: 30 days)
- cell_measures :
- area: areacella
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CCSM4_historical_r0i0p0.nc areacella: areacella_fx_CCSM4_historical_r0i0p0.nc
Array Chunk Bytes 7.04 GB 2.53 GB Shape (1872, 17, 192, 288) (672, 17, 192, 288) Count 9 Tasks 3 Chunks Type float32 numpy.ndarray
- institution :
- NCAR (National Center for Atmospheric Research) Boulder, CO, USA
- institute_id :
- NCAR
- experiment_id :
- historical
- source :
- CCSM4
- model_id :
- CCSM4
- forcing :
- Sl GHG Vl SS Ds SD BC MD OC Oz AA LU
- parent_experiment_id :
- piControl
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 937.0
- contact :
- cesm_data@ucar.edu
- references :
- Gent P. R., et.al. 2011: The Community Climate System Model version 4. J. Climate, doi: 10.1175/2011JCLI4083.1
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- a4f5e98a-cde8-4bf1-950f-a44e6846a668
- acknowledgements :
- The CESM project is supported by the National Science Foundation and the Office of Science (BER) of the U.S. Department of Energy. NCAR is sponsored by the National Science Foundation. Computing resources were provided by the Climate Simulation Laboratory at the NCAR Computational and Information Systems Laboratory (CISL), sponsored by the National Science Foundation and other agencies.
- cesm_casename :
- b40.20th.track1.1deg.008
- cesm_repotag :
- ccsm4_0_beta43
- cesm_compset :
- B20TRCN
- resolution :
- f09_g16 (0.9x1.25_gx1v6)
- forcing_note :
- Additional information on the external forcings used in this experiment can be found at http://www.cesm.ucar.edu/CMIP5/forcing_information
- processed_by :
- strandwg on copper.cgd.ucar.edu at 20111104 -151708.531
- processing_code_information :
- Last Changed Rev: 442 Last Changed Date: 2011-11-04 12:51:14 -0600 (Fri, 04 Nov 2011) Repository UUID: d2181dbe-5796-6825-dc7f-cbd98591f93d
- product :
- output
- experiment :
- historical
- frequency :
- mon
- creation_date :
- 2011-11-04T21:17:08Z
- history :
- 2011-11-04T21:17:08Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (26 July 2011) 976b7fd1d9e1be31dddd28f5dc79b7a1
- title :
- CCSM4 model output prepared for CMIP5 historical
- parent_experiment :
- pre-industrial control
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.7.1