python dataset_python到xarray数据集的简单转换

时间:2024-11-21 07:59:05

我知道如何将netCDF4.Dataset手动转换为xarray DataArray.但是,我想知道是否有任何简单而优雅的方法,例如使用xarray后端,将以下“ ”对象简单转换为xarray DataArray对象:

root group (NETCDF4 data model, file format HDF5):

Originating_or_generating_Center: US National Weather Service, National Centres for Environmental Prediction (NCEP)

Originating_or_generating_Subcenter: NCEP Ensemble Products

GRIB_table_version: 2,1

Type_of_generating_process: Ensemble forecast

Analysis_or_forecast_generating_process_identifier_defined_by_originating_centre: Global Ensemble Forecast System (GEFS)

Conventions: CF-1.6

history: Read using CDM IOSP GribCollection v3

featureType: GRID

History: Translated to CF-1.0 Conventions by Netcdf-Java CDM (CFGridWriter2)

Original Dataset = /data/ldm/pub/native/grid/NCEP/GEFS/Global_1p0deg_Ensemble/member/GEFS_Global_1p0deg_Ensemble_20170926_0600.grib2.ncx3#LatLon_181X360-p5S-180p0E; Translation Date = 2017-09-26T17:50:23.259Z

geospatial_lat_min: 0.0

geospatial_lat_max: 90.0

geospatial_lon_min: 0.0

geospatial_lon_max: 359.0

dimensions(sizes): time2(2), ens(21), isobaric1(12), lat(91), lon(360)

variables(dimensions): float32 u-component_of_wind_isobaric_ens(time2,ens,isobaric1,lat,lon), float64 time2(time2), int32 ens(ens), float32 isobaric1(isobaric1), float32 lat(lat), float32 lon(lon), float32 v-component_of_wind_isobaric_ens(time2,ens,isobaric1,lat,lon)

groups:

我已经使用了.