CESM1-BGC model output prepared for CMIP5 pre-industrial control
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/msftbarot_Omon_CESM1-BGC_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | CESM1-BGC model output prepared for CMIP5 pre-industrial control |
location | /shared/cmip5/data/piControl/ocean/mon/Omon/msftbarot/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/msftbarot_Omon_CESM1-BGC_piControl_r1i1p1.yaml |
last updated | 2015-01-20 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, i: 320, j: 384, time: 6000, vertices: 4) Coordinates: * time (time) float64 3.688e+04 3.691e+04 ... 2.193e+05 2.193e+05 * j (j) int32 1 2 3 4 5 6 7 8 ... 377 378 379 380 381 382 383 384 * i (i) int32 1 2 3 4 5 6 7 8 ... 313 314 315 316 317 318 319 320 lat (j, i) float32 dask.array<chunksize=(384, 320), meta=np.ndarray> lon (j, i) float32 dask.array<chunksize=(384, 320), meta=np.ndarray> Dimensions without coordinates: bnds, vertices Data variables: time_bnds (time, bnds) float64 dask.array<chunksize=(3000, 2), meta=np.ndarray> lat_vertices (time, j, i, vertices) float32 dask.array<chunksize=(3000, 384, 320, 4), meta=np.ndarray> lon_vertices (time, j, i, vertices) float32 dask.array<chunksize=(3000, 384, 320, 4), meta=np.ndarray> msftbarot (time, j, i) float32 dask.array<chunksize=(3000, 384, 320), meta=np.ndarray> Attributes: institution: NSF/DOE NCAR (National Center for Atmospher... institute_id: NSF-DOE-NCAR experiment_id: piControl source: CESM1-BGC model_id: CESM1-BGC forcing: Sl GHG SS Ds SD BC MD OC Oz AA (all fixed a... parent_experiment_id: N/A parent_experiment_rip: N/A branch_time: 0.0 contact: cesm_data@ucar.edu comment: CESM home page: http://www.cesm.ucar.edu references: Lindsay K., et al.: Preindustrial Control a... initialization_method: 1 physics_version: 1 tracking_id: 5635f9b2-d4d4-4a1a-a104-6c5863fe27a5 acknowledgements: The CESM project is supported by the Nation... cesm_casename: b40.prescribed_carb.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 mirage4 at 20120619 -220132.549 processing_code_information: Last Changed Rev: 944 Last Changed Date: 20... product: output experiment: pre-industrial control frequency: mon creation_date: 2012-06-20T04:01:59Z history: 2012-06-20T04:01:59Z CMOR rewrote data to c... Conventions: CF-1.4 project_id: CMIP5 table_id: Table Omon (12 January 2012) 980e0aeb02de42... title: CESM1-BGC model output prepared for CMIP5 p... parent_experiment: N/A modeling_realm: ocean realization: 1 cmor_version: 2.8.1
xarray.Dataset
- bnds: 2
- i: 320
- j: 384
- time: 6000
- vertices: 4
- time(time)float643.688e+04 3.691e+04 ... 2.193e+05
- bounds :
- time_bnds
- units :
- days since 0000-01-01 00:00:00
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 36880.5, 36910. , 36939.5, ..., 219288.5, 219319. , 219349.5])
- j(j)int321 2 3 4 5 6 ... 380 381 382 383 384
- units :
- 1
- long_name :
- cell index along second dimension
array([ 1, 2, 3, ..., 382, 383, 384], dtype=int32)
- i(i)int321 2 3 4 5 6 ... 316 317 318 319 320
- units :
- 1
- long_name :
- cell index along first dimension
array([ 1, 2, 3, ..., 318, 319, 320], dtype=int32)
- lat(j, i)float32dask.array<chunksize=(384, 320), meta=np.ndarray>
- standard_name :
- latitude
- long_name :
- latitude coordinate
- units :
- degrees_north
- bounds :
- lat_vertices
Array Chunk Bytes 491.52 kB 491.52 kB Shape (384, 320) (384, 320) Count 5 Tasks 1 Chunks Type float32 numpy.ndarray - lon(j, i)float32dask.array<chunksize=(384, 320), meta=np.ndarray>
- standard_name :
- longitude
- long_name :
- longitude coordinate
- units :
- degrees_east
- bounds :
- lon_vertices
Array Chunk Bytes 491.52 kB 491.52 kB Shape (384, 320) (384, 320) Count 5 Tasks 1 Chunks Type float32 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(3000, 2), meta=np.ndarray>
Array Chunk Bytes 96.00 kB 48.00 kB Shape (6000, 2) (3000, 2) Count 6 Tasks 2 Chunks Type float64 numpy.ndarray - lat_vertices(time, j, i, vertices)float32dask.array<chunksize=(3000, 384, 320, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 11.80 GB 5.90 GB Shape (6000, 384, 320, 4) (3000, 384, 320, 4) Count 8 Tasks 2 Chunks Type float32 numpy.ndarray - lon_vertices(time, j, i, vertices)float32dask.array<chunksize=(3000, 384, 320, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 11.80 GB 5.90 GB Shape (6000, 384, 320, 4) (3000, 384, 320, 4) Count 8 Tasks 2 Chunks Type float32 numpy.ndarray - msftbarot(time, j, i)float32dask.array<chunksize=(3000, 384, 320), meta=np.ndarray>
- standard_name :
- ocean_barotropic_mass_streamfunction
- long_name :
- Ocean Barotropic Mass Streamfunction
- comment :
- BSF, CMIP5_table_comment: differs from CMIP3 because it includes mass.
- units :
- kg s-1
- original_name :
- BSF
- cell_methods :
- time: mean (interval: 30 days)
- cell_measures :
- area: areacello
- history :
- 2012-06-20T04:01:32Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20).
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CESM1-BGC_piControl_r0i0p0.nc areacello: areacello_fx_CESM1-BGC_piControl_r0i0p0.nc
Array Chunk Bytes 2.95 GB 1.47 GB Shape (6000, 384, 320) (3000, 384, 320) 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 :
- piControl
- source :
- CESM1-BGC
- model_id :
- CESM1-BGC
- forcing :
- Sl GHG SS Ds SD BC MD OC Oz AA (all fixed at 1850 values)
- parent_experiment_id :
- N/A
- parent_experiment_rip :
- N/A
- branch_time :
- 0.0
- contact :
- cesm_data@ucar.edu
- comment :
- CESM home page: http://www.cesm.ucar.edu
- references :
- Lindsay K., et al.: Preindustrial Control and 20th Century Experiments with the Earth System Model CESM1-(BGC) (in preparation for Journal of Climate). See also http://www.cesm.ucar.edu/publications
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- 5635f9b2-d4d4-4a1a-a104-6c5863fe27a5
- 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.prescribed_carb.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 mirage4 at 20120619 -220132.549
- processing_code_information :
- Last Changed Rev: 944 Last Changed Date: 2012-06-19 16:46:24 -0600 (Tue, 19 Jun 2012) Repository UUID: d2181dbe-5796-6825-dc7f-cbd98591f93d
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2012-06-20T04:01:59Z
- history :
- 2012-06-20T04:01:59Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Omon (12 January 2012) 980e0aeb02de4233251f100571014e41
- title :
- CESM1-BGC model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- ocean
- realization :
- 1
- cmor_version :
- 2.8.1