CanESM2 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/tos_day_CanESM2_historical_r1i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | CanESM2 model output prepared for CMIP5 historical |
location | /shared/cmip5/data/historical/ocean/day/day/tos/CCCma.CanESM2/r1i1p1 |
tags | gridded,global,model,daily |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_day_CanESM2_historical_r1i1p1.yaml |
last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, lat: 192, lon: 256, time: 38325) Coordinates: * time (time) float64 1.862e+04 1.862e+04 ... 5.694e+04 5.694e+04 * lat (lat) float64 -89.43 -88.29 -87.15 -86.11 ... 87.15 88.29 89.43 * lon (lon) float64 0.7031 2.109 3.516 4.922 ... 356.5 357.9 359.3 Dimensions without coordinates: bnds Data variables: time_bnds (time, bnds) float64 dask.array<chunksize=(3650, 2), meta=np.ndarray> lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(3650, 192, 2), meta=np.ndarray> lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(3650, 256, 2), meta=np.ndarray> tos (time, lat, lon) float32 dask.array<chunksize=(3650, 192, 256), meta=np.ndarray> Attributes: institution: CCCma (Canadian Centre for Climate Modelling and ... institute_id: CCCma experiment_id: historical source: CanESM2 2010 atmosphere: CanAM4 (AGCM15i, T63L35)... model_id: CanESM2 forcing: GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes CO2,CH4,N2... parent_experiment_id: piControl parent_experiment_rip: r1i1p1 branch_time: 171915.0 contact: cccma_info@ec.gc.ca references: http://www.cccma.ec.gc.ca/models initialization_method: 1 physics_version: 1 tracking_id: 2d0bd2a3-c163-4851-89d3-51473193ab1d branch_time_YMDH: 2321:01:01:00 CCCma_runid: IGM CCCma_parent_runid: IGA CCCma_data_licence: 1) GRANT OF LICENCE - The Government of Canada (E... product: output experiment: historical frequency: day creation_date: 2011-04-14T00:33:16Z history: 2011-04-14T00:33:16Z CMOR rewrote data to comply ... Conventions: CF-1.4 project_id: CMIP5 table_id: Table day (28 March 2011) f9d6cfec5981bb8be1801b3... title: CanESM2 model output prepared for CMIP5 historical parent_experiment: pre-industrial control modeling_realm: ocean realization: 1 cmor_version: 2.5.4
xarray.Dataset
- bnds: 2
- lat: 192
- lon: 256
- time: 38325
- time(time)float641.862e+04 1.862e+04 ... 5.694e+04
- bounds :
- time_bnds
- units :
- days since 1850-1-1
- calendar :
- 365_day
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([18615.5, 18616.5, 18617.5, ..., 56937.5, 56938.5, 56939.5])
- lat(lat)float64-89.43 -88.29 ... 88.29 89.43
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-89.429619, -88.288872, -87.148125, -86.107635, -85.167389, -84.22715 , -83.290031, -82.356026, -81.42202 , -80.488907, -79.556686, -78.624458, -77.692612, -76.761139, -75.829674, -74.898399, -73.967316, -73.03624 , -72.10527 , -71.174423, -70.243568, -69.31279 , -68.382088, -67.451378, -66.520721, -65.590111, -64.6595 , -63.728931, -62.798389, -61.867851, -60.937336, -60.006847, -59.076359, -58.145885, -57.215435, -56.284985, -55.354546, -54.424126, -53.493702, -52.563293, -51.632893, -50.702496, -49.772106, -48.841724, -47.911343, -46.980972, -46.050606, -45.120239, -44.18988 , -43.259525, -42.329174, -41.398827, -40.468483, -39.538139, -38.6078 , -37.677464, -36.747131, -35.816799, -34.886471, -33.956142, -33.025818, -32.095497, -31.165176, -30.234856, -29.304539, -28.374222, -27.443909, -26.513596, -25.583282, -24.652971, -23.722664, -22.792355, -21.862047, -20.931742, -20.001434, -19.071131, -18.140827, -17.210524, -16.28022 , -15.34992 , -14.419619, -13.489318, -12.559018, -11.628718, -10.698419, -9.768121, -8.837822, -7.907524, -6.977227, -6.046929, -5.116632, -4.186335, -3.256038, -2.325742, -1.395445, -0.465148, 0.465148, 1.395445, 2.325742, 3.256038, 4.186335, 5.116632, 6.046929, 6.977227, 7.907525, 8.837822, 9.768121, 10.69842 , 11.628718, 12.559018, 13.489318, 14.419619, 15.34992 , 16.28022 , 17.210524, 18.140827, 19.071131, 20.001434, 20.931742, 21.862047, 22.792355, 23.722664, 24.652973, 25.583282, 26.513596, 27.443909, 28.374224, 29.304539, 30.234856, 31.165176, 32.095497, 33.025818, 33.956142, 34.886471, 35.816799, 36.747131, 37.677464, 38.6078 , 39.538139, 40.468483, 41.398827, 42.329174, 43.259525, 44.18988 , 45.120239, 46.050606, 46.980972, 47.911343, 48.841724, 49.772106, 50.702496, 51.632893, 52.563293, 53.493702, 54.424126, 55.354546, 56.284985, 57.215435, 58.145885, 59.076359, 60.006847, 60.937336, 61.867851, 62.798389, 63.728931, 64.6595 , 65.590111, 66.520721, 67.451378, 68.382088, 69.31279 , 70.243568, 71.174423, 72.10527 , 73.03624 , 73.967316, 74.898399, 75.829674, 76.761139, 77.692612, 78.624458, 79.556686, 80.488907, 81.42202 , 82.356026, 83.290031, 84.22715 , 85.167389, 86.107635, 87.148125, 88.288872, 89.429619])
- lon(lon)float640.7031 2.109 3.516 ... 357.9 359.3
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 0.703125, 2.109375, 3.515625, ..., 356.484375, 357.890625, 359.296875])
- time_bnds(time, bnds)float64dask.array<chunksize=(3650, 2), meta=np.ndarray>
Array Chunk Bytes 613.20 kB 58.40 kB Shape (38325, 2) (3650, 2) Count 33 Tasks 11 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(3650, 192, 2), meta=np.ndarray>
Array Chunk Bytes 117.73 MB 11.21 MB Shape (38325, 192, 2) (3650, 192, 2) Count 44 Tasks 11 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(3650, 256, 2), meta=np.ndarray>
Array Chunk Bytes 156.98 MB 14.95 MB Shape (38325, 256, 2) (3650, 256, 2) Count 44 Tasks 11 Chunks Type float64 numpy.ndarray - tos(time, lat, lon)float32dask.array<chunksize=(3650, 192, 256), meta=np.ndarray>
- standard_name :
- surface_temperature
- long_name :
- Sea Surface Temperature
- comment :
- temperature of liquid ocean.
- units :
- K
- original_name :
- SST
- cell_methods :
- time: mean (interval: 15 minutes)
- cell_measures :
- area: areacello
- history :
- 2011-04-14T00:33:16Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_ocean_fx_CanESM2_historical_r0i0p0.nc areacello: areacello_fx_CanESM2_historical_r0i0p0.nc
Array Chunk Bytes 7.54 GB 717.62 MB Shape (38325, 192, 256) (3650, 192, 256) Count 33 Tasks 11 Chunks Type float32 numpy.ndarray
- institution :
- CCCma (Canadian Centre for Climate Modelling and Analysis, Victoria, BC, Canada)
- institute_id :
- CCCma
- experiment_id :
- historical
- source :
- CanESM2 2010 atmosphere: CanAM4 (AGCM15i, T63L35) ocean: CanOM4 (OGCM4.0, 256x192L40) and CMOC1.2 sea ice: CanSIM1 (Cavitating Fluid, T63 Gaussian Grid) land: CLASS2.7 and CTEM1
- model_id :
- CanESM2
- forcing :
- GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes CO2,CH4,N2O,CFC11,effective CFC12)
- parent_experiment_id :
- piControl
- parent_experiment_rip :
- r1i1p1
- branch_time :
- 171915.0
- contact :
- cccma_info@ec.gc.ca
- references :
- http://www.cccma.ec.gc.ca/models
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- 2d0bd2a3-c163-4851-89d3-51473193ab1d
- branch_time_YMDH :
- 2321:01:01:00
- CCCma_runid :
- IGM
- CCCma_parent_runid :
- IGA
- CCCma_data_licence :
- 1) GRANT OF LICENCE - The Government of Canada (Environment Canada) is the owner of all intellectual property rights (including copyright) that may exist in this Data product. You (as "The Licensee") are hereby granted a non-exclusive, non-assignable, non-transferable unrestricted licence to use this data product for any purpose including the right to share these data with others and to make value-added and derivative products from it. This licence is not a sale of any or all of the owner's rights. 2) NO WARRANTY - This Data product is provided "as-is"; it has not been designed or prepared to meet the Licensee's particular requirements. Environment Canada makes no warranty, either express or implied, including but not limited to, warranties of merchantability and fitness for a particular purpose. In no event will Environment Canada be liable for any indirect, special, consequential or other damages attributed to the Licensee's use of the Data product.
- product :
- output
- experiment :
- historical
- frequency :
- day
- creation_date :
- 2011-04-14T00:33:16Z
- history :
- 2011-04-14T00:33:16Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table day (28 March 2011) f9d6cfec5981bb8be1801b35a81002f0
- title :
- CanESM2 model output prepared for CMIP5 historical
- parent_experiment :
- pre-industrial control
- modeling_realm :
- ocean
- realization :
- 1
- cmor_version :
- 2.5.4