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/ua_day_CanESM2_historical_r1i1p1.yaml")
ds=cat.netcdf.read()Metadata
| title | CanESM2 model output prepared for CMIP5 historical |
| location | /shared/cmip5/data/historical/atmos/day/day/ua/CCCma.CanESM2/r1i1p1 |
| tags | gridded,global,model,daily |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/ua_day_CanESM2_historical_r1i1p1.yaml |
| last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset>
Dimensions: (bnds: 2, lat: 64, lon: 128, plev: 8, time: 23725)
Coordinates:
* time (time) float64 3.322e+04 3.322e+04 ... 5.694e+04 5.694e+04
* plev (plev) float64 1e+05 8.5e+04 7e+04 5e+04 ... 1e+04 5e+03 1e+03
* lat (lat) float64 -87.86 -85.1 -82.31 -79.53 ... 82.31 85.1 87.86
* lon (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2
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, 64, 2), meta=np.ndarray>
lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(3650, 128, 2), meta=np.ndarray>
ua (time, plev, lat, lon) float32 dask.array<chunksize=(3650, 8, 64, 128), 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: a61c6250-5e21-420e-b181-c02ac8551473
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: 2011-04-14T01:09:29Z
history: 2011-04-14T01:09:29Z 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: atmos
realization: 1
cmor_version: 2.5.4xarray.Dataset
- bnds: 2
- lat: 64
- lon: 128
- plev: 8
- time: 23725
- time(time)float643.322e+04 3.322e+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([33215.5, 33216.5, 33217.5, ..., 56937.5, 56938.5, 56939.5])
- plev(plev)float641e+05 8.5e+04 7e+04 ... 5e+03 1e+03
- units :
- Pa
- axis :
- Z
- positive :
- down
- long_name :
- pressure
- standard_name :
- air_pressure
array([100000., 85000., 70000., 50000., 25000., 10000., 5000., 1000.])
- lat(lat)float64-87.86 -85.1 -82.31 ... 85.1 87.86
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-87.863801, -85.096529, -82.312915, -79.525609, -76.736902, -73.947518, -71.157755, -68.367759, -65.57761 , -62.787354, -59.997023, -57.206634, -54.416202, -51.625736, -48.835243, -46.044729, -43.254197, -40.463651, -37.673092, -34.882523, -32.091946, -29.301362, -26.510772, -23.720176, -20.929577, -18.138973, -15.348367, -12.557759, -9.767148, -6.976536, -4.185923, -1.395309, 1.395309, 4.185923, 6.976536, 9.767148, 12.557759, 15.348367, 18.138973, 20.929577, 23.720176, 26.510772, 29.301362, 32.091946, 34.882523, 37.673092, 40.463651, 43.254197, 46.044729, 48.835243, 51.625736, 54.416202, 57.206634, 59.997023, 62.787354, 65.57761 , 68.367759, 71.157755, 73.947518, 76.736902, 79.525609, 82.312915, 85.096529, 87.863801]) - lon(lon)float640.0 2.812 5.625 ... 354.4 357.2
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 0. , 2.8125, 5.625 , 8.4375, 11.25 , 14.0625, 16.875 , 19.6875, 22.5 , 25.3125, 28.125 , 30.9375, 33.75 , 36.5625, 39.375 , 42.1875, 45. , 47.8125, 50.625 , 53.4375, 56.25 , 59.0625, 61.875 , 64.6875, 67.5 , 70.3125, 73.125 , 75.9375, 78.75 , 81.5625, 84.375 , 87.1875, 90. , 92.8125, 95.625 , 98.4375, 101.25 , 104.0625, 106.875 , 109.6875, 112.5 , 115.3125, 118.125 , 120.9375, 123.75 , 126.5625, 129.375 , 132.1875, 135. , 137.8125, 140.625 , 143.4375, 146.25 , 149.0625, 151.875 , 154.6875, 157.5 , 160.3125, 163.125 , 165.9375, 168.75 , 171.5625, 174.375 , 177.1875, 180. , 182.8125, 185.625 , 188.4375, 191.25 , 194.0625, 196.875 , 199.6875, 202.5 , 205.3125, 208.125 , 210.9375, 213.75 , 216.5625, 219.375 , 222.1875, 225. , 227.8125, 230.625 , 233.4375, 236.25 , 239.0625, 241.875 , 244.6875, 247.5 , 250.3125, 253.125 , 255.9375, 258.75 , 261.5625, 264.375 , 267.1875, 270. , 272.8125, 275.625 , 278.4375, 281.25 , 284.0625, 286.875 , 289.6875, 292.5 , 295.3125, 298.125 , 300.9375, 303.75 , 306.5625, 309.375 , 312.1875, 315. , 317.8125, 320.625 , 323.4375, 326.25 , 329.0625, 331.875 , 334.6875, 337.5 , 340.3125, 343.125 , 345.9375, 348.75 , 351.5625, 354.375 , 357.1875])
- time_bnds(time, bnds)float64dask.array<chunksize=(3650, 2), meta=np.ndarray>
Array Chunk Bytes 379.60 kB 58.40 kB Shape (23725, 2) (3650, 2) Count 21 Tasks 7 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(3650, 64, 2), meta=np.ndarray>
Array Chunk Bytes 24.29 MB 3.74 MB Shape (23725, 64, 2) (3650, 64, 2) Count 28 Tasks 7 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(3650, 128, 2), meta=np.ndarray>
Array Chunk Bytes 48.59 MB 7.48 MB Shape (23725, 128, 2) (3650, 128, 2) Count 28 Tasks 7 Chunks Type float64 numpy.ndarray - ua(time, plev, lat, lon)float32dask.array<chunksize=(3650, 8, 64, 128), meta=np.ndarray>
- standard_name :
- eastward_wind
- long_name :
- Eastward Wind
- units :
- m s-1
- original_name :
- U
- cell_methods :
- time: mean (interval: 15 minutes)
- history :
- 2011-04-14T01:09:29Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20). 2011-04-14T01:09:29Z altered by CMOR: Inverted axis: plev.
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_historical_r0i0p0.nc
Array Chunk Bytes 6.22 GB 956.83 MB Shape (23725, 8, 64, 128) (3650, 8, 64, 128) Count 21 Tasks 7 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 :
- a61c6250-5e21-420e-b181-c02ac8551473
- 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 :
- 2011-04-14T01:09:29Z
- history :
- 2011-04-14T01:09:29Z 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 :
- atmos
- realization :
- 1
- cmor_version :
- 2.5.4