CESM1-BGC model output prepared for CMIP5 RCP8.5
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/ua_Amon_CESM1-BGC_rcp85_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | CESM1-BGC model output prepared for CMIP5 RCP8.5 |
| location | /shared/cmip5/data/rcp85/atmos/mon/Amon/ua/NSF-DOE-NCAR.CESM1-BGC/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/ua_Amon_CESM1-BGC_rcp85_r1i1p1.yaml |
| last updated | 2013-05-31 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 192, lon: 288, plev: 17, time: 1140)
Coordinates:
* time (time) float64 380.5 410.0 439.5 ... 3.499e+04 3.502e+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=(528, 2), meta=np.ndarray>
lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(528, 192, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(528, 288, 2), meta=np.ndarray>
ua (time, plev, lat, lon) float32 dask.array<chunksize=(528, 17, 192, 288), meta=np.ndarray>
Attributes:
institution: NSF/DOE NCAR (National Center for Atmospher...
institute_id: NSF-DOE-NCAR
experiment_id: rcp85
source: CESM1-BGC
model_id: CESM1-BGC
forcing: Sl GHG SS Ds SA BC MD OC Oz AA
parent_experiment_id: piControl
parent_experiment_rip: r1i1p1
branch_time: 1.0
contact: cesm_data@ucar.edu
comment: CESM home page: http://www.cesm.ucar.edu
references: TBD
See also http://www.cesm.ucar.edu/pub...
initialization_method: 1
physics_version: 1
tracking_id: 3fdfae0f-9f8b-4a82-93b9-a6f6b8905186
acknowledgements: The CESM project is supported by the Nation...
cesm_casename: b40.rcp8_5.1deg.bdrd.001
cesm_repotag: unknown
cesm_compset: unknown
resolution: f09_g16 (0.9x1.25_gx1v6)
forcing_note: Additional information on the external forc...
processed_by: strandwg on silver.cgd.ucar.edu at 20120511...
processing_code_information: Last Changed Rev: 757 Last Changed Date: 20...
product: output
experiment: RCP8.5
frequency: mon
creation_date: 2012-05-11T18:03:25Z
history: 2012-05-11T18:03:25Z CMOR rewrote data to c...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Amon (12 January 2012) 4996d487f7a657...
title: CESM1-BGC model output prepared for CMIP5 R...
parent_experiment: pre-industrial control
modeling_realm: atmos
realization: 1
cmor_version: 2.8.1xarray.Dataset
- bnds: 2
- lat: 192
- lon: 288
- plev: 17
- time: 1140
- time(time)float64380.5 410.0 ... 3.499e+04 3.502e+04
- bounds :
- time_bnds
- units :
- days since 2005-01-01 00:00:00
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 380.5, 410. , 439.5, ..., 34963.5, 34994. , 35024.5])
- 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. , -89.057594, -88.115181, -87.172775, -86.23037 , -85.287956, -84.345551, -83.403145, -82.460732, -81.518326, -80.575912, -79.633507, -78.691101, -77.748688, -76.806282, -75.863876, -74.921463, -73.979057, -73.036652, -72.094238, -71.151833, -70.209427, -69.267014, -68.324608, -67.382202, -66.439789, -65.497383, -64.554977, -63.612564, -62.670158, -61.727749, -60.785339, -59.842934, -58.900524, -57.958115, -57.015705, -56.073299, -55.13089 , -54.18848 , -53.246075, -52.303665, -51.361256, -50.41885 , -49.47644 , -48.534031, -47.591621, -46.649216, -45.706806, -44.764397, -43.821991, -42.879581, -41.937172, -40.994766, -40.052357, -39.109947, -38.167538, -37.225132, -36.282722, -35.340313, -34.397907, -33.455498, -32.513088, -31.570681, -30.628273, -29.685863, -28.743456, -27.801046, -26.858639, -25.916231, -24.973822, -24.031414, -23.089005, -22.146597, -21.204189, -20.26178 , -19.319372, -18.376963, -17.434555, -16.492147, -15.549738, -14.607329, -13.664922, -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, 13.664922, 14.607329, 15.549738, 16.492147, 17.434555, 18.376963, 19.319372, 20.26178 , 21.204189, 22.146597, 23.089005, 24.031414, 24.973822, 25.916231, 26.858639, 27.801046, 28.743456, 29.685863, 30.628273, 31.570681, 32.513088, 33.455498, 34.397907, 35.340313, 36.282722, 37.225132, 38.167538, 39.109947, 40.052357, 40.994766, 41.937172, 42.879581, 43.821991, 44.764397, 45.706806, 46.649216, 47.591621, 48.534031, 49.47644 , 50.41885 , 51.361256, 52.303665, 53.246075, 54.18848 , 55.13089 , 56.073299, 57.015705, 57.958115, 58.900524, 59.842934, 60.785339, 61.727749, 62.670158, 63.612564, 64.554977, 65.497383, 66.439789, 67.382202, 68.324608, 69.267014, 70.209427, 71.151833, 72.094238, 73.036652, 73.979057, 74.921463, 75.863876, 76.806282, 77.748688, 78.691101, 79.633507, 80.575912, 81.518326, 82.460732, 83.403145, 84.345551, 85.287956, 86.23037 , 87.172775, 88.115181, 89.057594, 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=(528, 2), meta=np.ndarray>
Array Chunk Bytes 18.24 kB 9.79 kB Shape (1140, 2) (612, 2) Count 6 Tasks 2 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(528, 192, 2), meta=np.ndarray>
Array Chunk Bytes 3.50 MB 1.88 MB Shape (1140, 192, 2) (612, 192, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(528, 288, 2), meta=np.ndarray>
Array Chunk Bytes 5.25 MB 2.82 MB Shape (1140, 288, 2) (612, 288, 2) Count 8 Tasks 2 Chunks Type float64 numpy.ndarray - ua(time, plev, lat, lon)float32dask.array<chunksize=(528, 17, 192, 288), meta=np.ndarray>
- standard_name :
- eastward_wind
- long_name :
- Eastward Wind
- units :
- m s-1
- original_name :
- U,PS
- comment :
- U interpolated to standard plevs
- original_units :
- m/s
- history :
- 2012-05-11T18:03:17Z altered by CMOR: Converted units from 'm/s' to 'm s-1'. 2012-05-11T18:03:17Z altered by CMOR: Reordered dimensions, original order: plev lat lon time. 2012-05-11T18:03:17Z altered by CMOR: replaced missing value flag (-1e+32) with standard missing value (1e+20).
- cell_methods :
- time: mean (interval: 30 days)
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CESM1-BGC_rcp85_r0i0p0.nc
Array Chunk Bytes 4.29 GB 2.30 GB Shape (1140, 17, 192, 288) (612, 17, 192, 288) Count 6 Tasks 2 Chunks Type float32 numpy.ndarray
- institution :
- NSF/DOE NCAR (National Center for Atmospheric Research) Boulder, CO, USA
- institute_id :
- NSF-DOE-NCAR
- experiment_id :
- rcp85
- source :
- CESM1-BGC
- model_id :
- CESM1-BGC
- forcing :
- Sl GHG SS Ds SA BC MD OC Oz AA
- parent_experiment_id :
- piControl
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 1.0
- contact :
- cesm_data@ucar.edu
- comment :
- CESM home page: http://www.cesm.ucar.edu
- references :
- TBD See also http://www.cesm.ucar.edu/publications
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- 3fdfae0f-9f8b-4a82-93b9-a6f6b8905186
- 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.rcp8_5.1deg.bdrd.001
- cesm_repotag :
- unknown
- cesm_compset :
- unknown
- 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 silver.cgd.ucar.edu at 20120511 -120317.108
- processing_code_information :
- Last Changed Rev: 757 Last Changed Date: 2012-05-09 13:01:12 -0600 (Wed, 09 May 2012) Repository UUID: d2181dbe-5796-6825-dc7f-cbd98591f93d
- product :
- output
- experiment :
- RCP8.5
- frequency :
- mon
- creation_date :
- 2012-05-11T18:03:25Z
- history :
- 2012-05-11T18:03:25Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (12 January 2012) 4996d487f7a65749098d9cc0dccb4f8d
- title :
- CESM1-BGC model output prepared for CMIP5 RCP8.5
- parent_experiment :
- pre-industrial control
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.8.1