GENERAL INFORMATION ------------------------------------------------------------------------ file name: genRE_precipitation_hour_1.0.nc author: Osnabrugge, B. (Bart) email: bart.vanosnabrugge@deltares.nl file type: netCDF4 METADATA ------------------------------------------------------------------------ Metadata_Conventions = "Unidata Dataset Discovery v1.0"; title = "Gridded precipitation dataset for the Rhine basin made with the genRE interpolation method"; summary = "A high resolution (1.2x1.2km) gridded precipitation dataset with hourly time step that covers the whole Rhine basin for the period 1997-2015. Made from gauge data with the genRE interpolation scheme."; keywords = "genRE,precipitation,grid,hourly,Rhine,interpolation,transnational,rain"; companion_paper = "van Osnabrugge,B., Weerts, A., Uijlenhoet, R. genRE: A method to extend gridded precipitation climatology datasets in near real-time for hydrological forecasting purposes (2017) Water Resources Research"; cmd_data_type = "Grid"; crs = "WGS 84/ UTM zone 32N EPSG:32632"; institution = "Deltares"; creator_email = "Bart.vanOsnabrugge@deltares.nl"; acknowledgements = "We thank the data providers: Koninklijk Nederlands Meteorologisch Instituut (KNMI); Deutscher Wetterdienst climate data center (DWD-cdc); Meteo Swiss, Service Publique de Wallonie, Departement des Etudes et de l Appui a la Gestion (SPW);Administration de la gestion de l eau Luxembourg; Meteo France"; licence = "Attribution-ShareAlike 4.0 International (CC BY-SA 4.0). Please refer to the companion paper when using this dataset"; date_created = "15 february 2017"; processing_level = "finished"; comment = "Advice on use: This dataset was originally produced to test the genRE interpolation method. Care should be taken when using this data for other purposes, note that there are especially concerns when using this dataset for climate analysis. It is recommended to read the paper before using this dataset."; project = "IMPREX project funded by the European Commission under the Horizon 2020 framework programme (grant no. 641811)"; CREATION OF FILE ------------------------------------------------------------------------ File created with python and xarray package 0.9.6: http://xarray.pydata.org/en/stable/ Command: ds.to_netcdf('c:\genRE_precipitation_hour_1.0.nc',mode='w',encoding={'precipitation_thickness' : {'zlib':True,'chunksizes':[24,540,420],'least_significant_digit':1}}) STRUCTURE OF NETCDF FILE: ------------------------------------------------------------------------ netcdf file dimensions: y = 540; x = 420; time = 172080; variables: double y(y=540); :_FillValue = 9.96921E36; // double :standard_name = "projection_y_coordinate"; :long_name = "y coordinate according to UTM32N"; :units = "m"; :axis = "Y"; double x(x=420); :_FillValue = 9.96921E36; // double :standard_name = "projection_x_coordinate"; :long_name = "x coordinate according to UTM32N"; :units = "m"; :axis = "X"; long time(time=172080); :standard_name = "time"; :long_name = "time"; :axis = "T"; :units = "hours since 1996-05-30 01:00:00"; :calendar = "proleptic_gregorian"; double precipitation_thickness(time=172080, y=540, x=420); :_FillValue = NaN; // double :least_significant_digit = 1; // int :long_name = "precipitation_thickness"; :units = "mm"; :grid_mapping = "EPSG:32632"; :_ChunkSizes = 24, 540, 420; // int // global attributes: :Metadata_Conventions = "Unidata Dataset Discovery v1.0"; :title = "Gridded precipitation dataset for the Rhine basin made with the genRE interpolation method"; :summary = "A high resolution (1.2x1.2km) gridded precipitation dataset with hourly time step that covers the whole Rhine basin for the period 1997-2015. Made from gauge data with the genRE interpolation scheme."; :keywords = "genRE,precipitation,grid,hourly,Rhine,interpolation,transnational,rain"; :companion_paper = "van Osnabrugge,B., Weerts, A., Uijlenhoet, R. genRE: A method to extend gridded precipitation climatology datasets in near real-time for hydrological forecasting purposes (2017) Water Resources Research"; :cmd_data_type = "Grid"; :crs = "WGS 84/ UTM zone 32N EPSG:32632"; :institution = "Deltares"; :creator_email = "Bart.vanOsnabrugge@deltares.nl"; :acknowledgemetns = "We thank the data providers: Koninklijk Nederlands Meteorologisch Instituut (KNMI); Deutscher Wetterdienst climate data center (DWD-cdc); Meteo Swiss, Service Publique de Wallonie, Departement des Etudes et de l Appui a la Gestion (SPW);Administration de la gestion de l eau Luxembourg; Meteo France"; :licence = "Attribution-ShareAlike 4.0 International (CC BY-SA 4.0). Please refer to the companion paper when using this dataset"; :date_created = "15 february 2017"; :processing_level = "finished"; :comment = "Advice on use: This dataset was originally produced to test the genRE interpolation method. Care should be taken when using this data for other purposes, note that there are especially concerns when using this dataset for climate analysis. It is recommended to read the paper before using this dataset."; :project = "IMPREX project funded by the European Commission under the Horizon 2020 framework programme (grant no. 641811)"; } ------------------------------------------------------------------------