CMCC-CM model output prepared for CMIP5 10- or 30-year run initialized in year 1980
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tauv_Amon_CMCC-CM_decadal1980_r1i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | CMCC-CM model output prepared for CMIP5 10- or 30-year run initialized in year 1980 |
location | /shared/cmip5/data/decadal1980/atmos/mon/Amon/tauv/CMCC.CMCC-CM/r1i1p1 |
tags | gridded,global,model,monthly |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/tauv_Amon_CMCC-CM_decadal1980_r1i1p1.yaml |
last updated | 2013-05-26 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, lat: 240, lon: 480, time: 362) Coordinates: * time (time) float64 15.0 45.5 76.5 ... 3.576e+03 3.606e+03 3.636e+03 * lat (lat) float64 -89.43 -88.68 -87.94 -87.19 ... 87.94 88.68 89.43 * lon (lon) float64 0.0 0.75 1.5 2.25 3.0 ... 357.0 357.8 358.5 359.2 Dimensions without coordinates: bnds Data variables: time_bnds (time, bnds) float64 dask.array<chunksize=(122, 2), meta=np.ndarray> lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(122, 240, 2), meta=np.ndarray> lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(122, 480, 2), meta=np.ndarray> tauv (time, lat, lon) float32 dask.array<chunksize=(122, 240, 480), meta=np.ndarray> Attributes: institution: CMCC - Centro Euro-Mediterraneo per i Cambiamenti institute_id: CMCC experiment_id: decadal1980 source: CMCC-CM model_id: CMCC-CM forcing: Nat,Ant,GHG,SA,TO,Sl parent_experiment_id: N/A parent_experiment_rip: N/A branch_time: 0.0 contact: Silvio Gualdi (gualdi@bo.ingv.it) history: Model output postprocessed with CDO 2012-01-29T07... comment: The ocean is initialized with full values from oc... references: model described in the documentation at http://ww... initialization_method: 1 physics_version: 1 tracking_id: 0b76a083-4325-46b1-9cc4-e4ff4e889151 product: output experiment: 10- or 30-year run initialized in year 1980 frequency: mon creation_date: 2012-01-29T07:09:27Z Conventions: CF-1.4 project_id: CMIP5 table_id: Table Amon (27 April 2011) a5a1c518f52ae340313ba0... title: CMCC-CM model output prepared for CMIP5 10- or 30... parent_experiment: N/A modeling_realm: atmos realization: 1 cmor_version: 2.7.1
xarray.Dataset
- bnds: 2
- lat: 240
- lon: 480
- time: 362
- time(time)float6415.0 45.5 ... 3.606e+03 3.636e+03
- bounds :
- time_bnds
- calendar :
- standard
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([ 15. , 45.5, 76.5, ..., 3575.5, 3606. , 3636.5])
- lat(lat)float64-89.43 -88.68 ... 88.68 89.43
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-89.427084, -88.684919, -87.938371, ..., 87.938371, 88.684919, 89.427084])
- lon(lon)float640.0 0.75 1.5 ... 357.8 358.5 359.2
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 0. , 0.75, 1.5 , ..., 357.75, 358.5 , 359.25])
- time_bnds(time, bnds)float64dask.array<chunksize=(122, 2), meta=np.ndarray>
Array Chunk Bytes 5.79 kB 1.95 kB Shape (362, 2) (122, 2) Count 9 Tasks 3 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(122, 240, 2), meta=np.ndarray>
Array Chunk Bytes 1.39 MB 468.48 kB Shape (362, 240, 2) (122, 240, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(122, 480, 2), meta=np.ndarray>
Array Chunk Bytes 2.78 MB 936.96 kB Shape (362, 480, 2) (122, 480, 2) Count 12 Tasks 3 Chunks Type float64 numpy.ndarray - tauv(time, lat, lon)float32dask.array<chunksize=(122, 240, 480), meta=np.ndarray>
- standard_name :
- surface_downward_northward_stress
- long_name :
- Surface Downward Northward Wind Stress
- units :
- Pa
- original_name :
- vstr
- cell_methods :
- time: mean (interval: 1 month)
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CMCC-CM_decadal1980_r0i0p0.nc
- history :
- 2012-01-29T07:09:27Z altered by CMOR: Inverted axis: lat.
Array Chunk Bytes 166.81 MB 56.22 MB Shape (362, 240, 480) (122, 240, 480) Count 9 Tasks 3 Chunks Type float32 numpy.ndarray
- institution :
- CMCC - Centro Euro-Mediterraneo per i Cambiamenti
- institute_id :
- CMCC
- experiment_id :
- decadal1980
- source :
- CMCC-CM
- model_id :
- CMCC-CM
- forcing :
- Nat,Ant,GHG,SA,TO,Sl
- parent_experiment_id :
- N/A
- parent_experiment_rip :
- N/A
- branch_time :
- 0.0
- contact :
- Silvio Gualdi (gualdi@bo.ingv.it)
- history :
- Model output postprocessed with CDO 2012-01-29T07:09:27Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- comment :
- The ocean is initialized with full values from ocean reanalyses. Three-members ensembles are generated by using 3 distinct, but equally realistic, ocean reanalyses, obtained through different data assimilation methods and assimilated observations. Sea-ice is initialized with a model climatology. Atm
- references :
- model described in the documentation at http://www.cmcc.it/data-models/models
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- 0b76a083-4325-46b1-9cc4-e4ff4e889151
- product :
- output
- experiment :
- 10- or 30-year run initialized in year 1980
- frequency :
- mon
- creation_date :
- 2012-01-29T07:09:27Z
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862
- title :
- CMCC-CM model output prepared for CMIP5 10- or 30-year run initialized in year 1980
- parent_experiment :
- N/A
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.7.1