CESM1-CAM5 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/rhopoto_Omon_CESM1-CAM5_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | CESM1-CAM5 model output prepared for CMIP5 pre-industrial control |
| location | /shared/cmip5/data/piControl/ocean/mon/Omon/rhopoto/NSF-DOE-NCAR.CESM1-CAM5/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/rhopoto_Omon_CESM1-CAM5_piControl_r1i1p1.yaml |
| last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, i: 320, j: 384, lev: 60, time: 3828, vertices: 4)
Coordinates:
* time (time) float64 380.5 410.0 439.5 ... 1.168e+05 1.168e+05
* lev (lev) float64 5.0 15.0 25.0 ... 4.875e+03 5.125e+03 5.375e+03
* 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=(108, 2), meta=np.ndarray>
lev_bnds (time, lev, bnds) float64 dask.array<chunksize=(108, 60, 2), meta=np.ndarray>
lat_vertices (time, j, i, vertices) float32 dask.array<chunksize=(108, 384, 320, 4), meta=np.ndarray>
lon_vertices (time, j, i, vertices) float32 dask.array<chunksize=(108, 384, 320, 4), meta=np.ndarray>
rhopoto (time, lev, j, i) float32 dask.array<chunksize=(108, 60, 384, 320), meta=np.ndarray>
Attributes:
institution: NSF/DOE NCAR (National Center for Atmospher...
institute_id: NSF-DOE-NCAR
experiment_id: piControl
source: CESM1-CAM5
model_id: CESM1-CAM5
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: Neale, R., et.al. 2012: Coupled simulations...
initialization_method: 1
physics_version: 1
tracking_id: b8990698-d875-48e6-85fa-838afdb8c0c0
acknowledgements: The CESM project is supported by the Nation...
cesm_casename: b40_1850_1d_b08c5cn_138j
cesm_repotag: cesm1_0_beta08
cesm_compset: B1850C5CN
resolution: f09_g16 (0.9x1.25_gx1v6)
forcing_note: Additional information on the external forc...
processed_by: strandwg on mirage4 at 20120523 -013511.836
processing_code_information: Last Changed Rev: 787 Last Changed Date: 20...
product: output
experiment: pre-industrial control
frequency: mon
creation_date: 2012-05-23T07:35:14Z
history: 2012-05-23T07:35:14Z CMOR rewrote data to c...
Conventions: CF-1.4
project_id: CMIP5
table_id: Table Omon (12 January 2012) 980e0aeb02de42...
title: CESM1-CAM5 model output prepared for CMIP5 ...
parent_experiment: N/A
modeling_realm: ocean
realization: 1
cmor_version: 2.8.1xarray.Dataset
- bnds: 2
- i: 320
- j: 384
- lev: 60
- time: 3828
- vertices: 4
- time(time)float64380.5 410.0 ... 1.168e+05 1.168e+05
- bounds :
- time_bnds
- units :
- days since 0000-01-01 00:00:00
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 380.5, 410. , 439.5, ..., 116723.5, 116754. , 116784.5])
- lev(lev)float645.0 15.0 ... 5.125e+03 5.375e+03
- bounds :
- lev_bnds
- units :
- m
- axis :
- Z
- positive :
- down
- long_name :
- ocean depth coordinate
- standard_name :
- depth
array([5.000000e+00, 1.500000e+01, 2.500000e+01, 3.500000e+01, 4.500000e+01, 5.500000e+01, 6.500000e+01, 7.500000e+01, 8.500000e+01, 9.500000e+01, 1.050000e+02, 1.150000e+02, 1.250000e+02, 1.350000e+02, 1.450000e+02, 1.550000e+02, 1.650984e+02, 1.754790e+02, 1.862913e+02, 1.976603e+02, 2.097114e+02, 2.225783e+02, 2.364088e+02, 2.513702e+02, 2.676542e+02, 2.854837e+02, 3.051192e+02, 3.268680e+02, 3.510935e+02, 3.782276e+02, 4.087846e+02, 4.433777e+02, 4.827367e+02, 5.277280e+02, 5.793729e+02, 6.388626e+02, 7.075633e+02, 7.870025e+02, 8.788252e+02, 9.847059e+02, 1.106204e+03, 1.244567e+03, 1.400497e+03, 1.573946e+03, 1.764003e+03, 1.968944e+03, 2.186457e+03, 2.413972e+03, 2.649001e+03, 2.889385e+03, 3.133405e+03, 3.379793e+03, 3.627670e+03, 3.876452e+03, 4.125768e+03, 4.375392e+03, 4.625190e+03, 4.875083e+03, 5.125028e+03, 5.375000e+03]) - 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 155 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 155 Tasks 1 Chunks Type float32 numpy.ndarray
- time_bnds(time, bnds)float64dask.array<chunksize=(108, 2), meta=np.ndarray>
Array Chunk Bytes 61.25 kB 1.92 kB Shape (3828, 2) (120, 2) Count 96 Tasks 32 Chunks Type float64 numpy.ndarray - lev_bnds(time, lev, bnds)float64dask.array<chunksize=(108, 60, 2), meta=np.ndarray>
Array Chunk Bytes 3.67 MB 115.20 kB Shape (3828, 60, 2) (120, 60, 2) Count 128 Tasks 32 Chunks Type float64 numpy.ndarray - lat_vertices(time, j, i, vertices)float32dask.array<chunksize=(108, 384, 320, 4), meta=np.ndarray>
- units :
- degrees_north
Array Chunk Bytes 7.53 GB 235.93 MB Shape (3828, 384, 320, 4) (120, 384, 320, 4) Count 128 Tasks 32 Chunks Type float32 numpy.ndarray - lon_vertices(time, j, i, vertices)float32dask.array<chunksize=(108, 384, 320, 4), meta=np.ndarray>
- units :
- degrees_east
Array Chunk Bytes 7.53 GB 235.93 MB Shape (3828, 384, 320, 4) (120, 384, 320, 4) Count 128 Tasks 32 Chunks Type float32 numpy.ndarray - rhopoto(time, lev, j, i)float32dask.array<chunksize=(108, 60, 384, 320), meta=np.ndarray>
- standard_name :
- sea_water_potential_density
- long_name :
- Sea Water Potential Density
- units :
- kg m-3
- original_name :
- PD
- comment :
- PD
- original_units :
- gram/centimeter^3
- history :
- 2012-05-23T07:35:12Z altered by CMOR: Converted units from 'gram/centimeter^3' to 'kg m-3'. 2012-05-23T07:35:12Z altered by CMOR: replaced missing value flag (9.96921e+36) with standard missing value (1e+20).
- cell_methods :
- time: mean (interval: 30 days)
- cell_measures :
- area: areacello volume: volcello
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CESM1-CAM5_piControl_r0i0p0.nc areacello: areacello_fx_CESM1-CAM5_piControl_r0i0p0.nc volcello: volcello_fx_CESM1-CAM5_piControl_r0i0p0.nc
Array Chunk Bytes 112.89 GB 3.54 GB Shape (3828, 60, 384, 320) (120, 60, 384, 320) Count 96 Tasks 32 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-CAM5
- model_id :
- CESM1-CAM5
- 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 :
- Neale, R., et.al. 2012: Coupled simulations from CESM1 using the Community Atmosphere Model version 5: (CAM5). See also http://www.cesm.ucar.edu/publications
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- b8990698-d875-48e6-85fa-838afdb8c0c0
- 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. This research used resources of the Oak Ridge Leadership Computing Facility, located in the National Center for Computational Sciences at Oak Ridge National Laboratory, which is supported by the Office of Science (BER) of the Department of Energy under Contract DE-AC05-00OR22725.
- cesm_casename :
- b40_1850_1d_b08c5cn_138j
- cesm_repotag :
- cesm1_0_beta08
- cesm_compset :
- B1850C5CN
- 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 20120523 -013511.836
- processing_code_information :
- Last Changed Rev: 787 Last Changed Date: 2012-05-22 07:43:55 -0600 (Tue, 22 May 2012) Repository UUID: d2181dbe-5796-6825-dc7f-cbd98591f93d
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2012-05-23T07:35:14Z
- history :
- 2012-05-23T07:35:14Z 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-CAM5 model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- ocean
- realization :
- 1
- cmor_version :
- 2.8.1