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/clt_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/clt/CMCC.CMCC-CM/r1i1p1 |
| tags | gridded,global,model,monthly |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/clt_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>
clt (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: 62e79cf9-d4e1-47af-8862-04c2f1c22e81
product: output
experiment: 10- or 30-year run initialized in year 1980
frequency: mon
creation_date: 2012-01-29T07:09:59Z
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: 2.7.1xarray.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 - clt(time, lat, lon)float32dask.array<chunksize=(122, 240, 480), meta=np.ndarray>
- standard_name :
- cloud_area_fraction
- long_name :
- Total Cloud Fraction
- comment :
- for the whole atmospheric column, as seen from the surface or the top of the atmosphere. Include both large-scale and convective cloud.
- units :
- %
- original_name :
- aclcov
- history :
- 2012-01-29T07:09:58Z altered by CMOR: Converted units from '' to '%'. 2012-01-29T07:09:59Z altered by CMOR: Inverted axis: lat.
- cell_methods :
- time: mean (interval: 1 month)
- cell_measures :
- area: areacella
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CMCC-CM_decadal1980_r0i0p0.nc areacella: areacella_fx_CMCC-CM_decadal1980_r0i0p0.nc
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 2012-01-29T07:09:59Z 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 :
- 62e79cf9-d4e1-47af-8862-04c2f1c22e81
- product :
- output
- experiment :
- 10- or 30-year run initialized in year 1980
- frequency :
- mon
- creation_date :
- 2012-01-29T07:09:59Z
- 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