CanCM4 model output prepared for CMIP5 10- or 30-year run initialized in year 2005
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_Omon_CanCM4_decadal2005_r9i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | CanCM4 model output prepared for CMIP5 10- or 30-year run initialized in year 2005 |
location | /shared/cmip5/data/decadal2005/ocean/mon/Omon/tos/CCCma.CanCM4/r9i1p1 |
tags | gridded,global,model,monthly |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tos_Omon_CanCM4_decadal2005_r9i1p1.yaml |
last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, lat: 192, lon: 256, time: 360) Coordinates: * time (time) float64 5.696e+04 5.698e+04 ... 6.784e+04 6.787e+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=(120, 2), meta=np.ndarray> lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(120, 192, 2), meta=np.ndarray> lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(120, 256, 2), meta=np.ndarray> tos (time, lat, lon) float32 dask.array<chunksize=(120, 192, 256), meta=np.ndarray> Attributes: institution: CCCma (Canadian Centre for Climate Modelling and ... institute_id: CCCma experiment_id: decadal2005 source: CanCM4 2010 atmosphere: CanAM4 (AGCM15i, T63L35) ... model_id: CanCM4 forcing: GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes CO2,CH4,N2... parent_experiment_id: N/A parent_experiment_rip: N/A branch_time: 0.0 contact: cccma_info@ec.gc.ca references: http://www.cccma.ec.gc.ca/models initialization_method: 1 physics_version: 1 tracking_id: c2aba67e-0153-43af-9c22-4a4f39887b14 branch_time_YMDH: 2006:01:01:00 CCCma_runid: DHFP1B_E009_I2006_M01 CCCma_parent_runid: DHFP1_E009 CCCma_data_licence: 1) GRANT OF LICENCE - The Government of Canada (E... product: output experiment: 10- or 30-year run initialized in year 2005 frequency: mon creation_date: 2011-04-27T08:39:07Z history: 2011-04-27T08:39:07Z CMOR rewrote data to comply ... Conventions: CF-1.4 project_id: CMIP5 table_id: Table Omon (28 March 2011) d71862c6fdafa47720d8a4... title: CanCM4 model output prepared for CMIP5 10- or 30-... parent_experiment: N/A modeling_realm: ocean realization: 9 cmor_version: 2.5.4
xarray.Dataset
- bnds: 2
- lat: 192
- lon: 256
- time: 360
- time(time)float645.696e+04 5.698e+04 ... 6.787e+04
- bounds :
- time_bnds
- units :
- days since 1850-1-1
- calendar :
- 365_day
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([56955.5, 56985. , 57014.5, ..., 67813.5, 67844. , 67874.5])
- 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=(120, 2), meta=np.ndarray>
Array Chunk Bytes 5.76 kB 1.92 kB Shape (360, 2) (120, 2) Count 9 Tasks 3 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(120, 192, 2), meta=np.ndarray>
Array Chunk Bytes 1.11 MB 368.64 kB Shape (360, 192, 2) (120, 192, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(120, 256, 2), meta=np.ndarray>
Array Chunk Bytes 1.47 MB 491.52 kB Shape (360, 256, 2) (120, 256, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - tos(time, lat, lon)float32dask.array<chunksize=(120, 192, 256), meta=np.ndarray>
- standard_name :
- sea_surface_temperature
- long_name :
- Sea Surface Temperature
- comment :
- "this may differ from ""surface temperature"" in regions of sea ice."
- units :
- K
- original_name :
- SST
- cell_methods :
- time: mean (interval: 20 minutes)
- cell_measures :
- area: areacello
- history :
- 2011-04-27T08:39:07Z 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_CanCM4_decadal2005_r0i0p0.nc areacello: areacello_fx_CanCM4_decadal2005_r0i0p0.nc
Array Chunk Bytes 70.78 MB 23.59 MB Shape (360, 192, 256) (120, 192, 256) Count 9 Tasks 3 Chunks Type float32 numpy.ndarray
- institution :
- CCCma (Canadian Centre for Climate Modelling and Analysis, Victoria, BC, Canada)
- institute_id :
- CCCma
- experiment_id :
- decadal2005
- source :
- CanCM4 2010 atmosphere: CanAM4 (AGCM15i, T63L35) ocean: CanOM4 (OGCM4.0, 256x192L40) sea ice: CanSIM1 (Cavitating Fluid, T63 Gaussian Grid) land: CLASS2.7
- model_id :
- CanCM4
- forcing :
- GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes CO2,CH4,N2O,CFC11,effective CFC12)
- parent_experiment_id :
- N/A
- parent_experiment_rip :
- N/A
- branch_time :
- 0.0
- contact :
- cccma_info@ec.gc.ca
- references :
- http://www.cccma.ec.gc.ca/models
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- c2aba67e-0153-43af-9c22-4a4f39887b14
- branch_time_YMDH :
- 2006:01:01:00
- CCCma_runid :
- DHFP1B_E009_I2006_M01
- CCCma_parent_runid :
- DHFP1_E009
- 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 :
- 10- or 30-year run initialized in year 2005
- frequency :
- mon
- creation_date :
- 2011-04-27T08:39:07Z
- history :
- 2011-04-27T08:39:07Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Omon (28 March 2011) d71862c6fdafa47720d8a402f39c8864
- title :
- CanCM4 model output prepared for CMIP5 10- or 30-year run initialized in year 2005
- parent_experiment :
- N/A
- modeling_realm :
- ocean
- realization :
- 9
- cmor_version :
- 2.5.4