Attributes { y { Float64 _FillValue 9.96921E36; String standard_name "projection_y_coordinate"; String long_name "y coordinate according to UTM32N"; String units "m"; String axis "Y"; } x { Float64 _FillValue 9.96921E36; String standard_name "projection_x_coordinate"; String long_name "x coordinate according to UTM32N"; String units "m"; String axis "X"; } lat { } lon { } crs { String long_name "coordinate reference system"; String epsg_code "32632"; String _CoordinateTransformType "Projection"; String _CoordinateAxisTypes "GeoX GeoY"; } t2m { Float64 _FillValue NaN; Int32 least_significant_digit 1; String long_name "air_temperature"; String units "oC"; String grid_mapping "crs"; String coordinates "lat lon"; Int32 _ChunkSizes 24, 540, 420; } time { String standard_name "time"; String long_name "time"; String axis "T"; String units "hours since 1996-05-02 01:00:00"; String calendar "proleptic_gregorian"; } NC_GLOBAL { String Metadata_Conventions "Unidata Dataset Discovery v1.0"; String title "Gridded air temperature dataset for the Rhine basin made with lapse rate corrected Inverse-Distance Squared Weighting"; String summary "A high resolution (1.2x1.2km) gridded air temperature dataset with hourly time step that covers the whole Rhine basin for the period 1997-2015. Made from gauge data with lapse rate corrected Inverse-Distance Squared Weighting"; String keywords "hourly air temperature,grid,Rhine basin,interpolation,climatology"; String cmd_data_type "Grid"; String crs "WGS 84/ UTM zone 32N EPSG:32632"; String institution "Deltares"; String creator_email "Bart.vanOsnabrugge@deltares.nl"; String 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"; String date_created "07 march 2017"; String processing_level "final"; String project "IMPREX project funded by the European Commission under the Horizon 2020 framework programme (grant no. 641811)"; String companion_paper "Contribution of Potential Evaporation Forecasts to 10-day streamflow forecast skill for the Rhine river. Bart van Osnabrugge, Remko Uijlenhoet, Albrecht Weerts. 2018."; String comment "Advice on use: This dataset was made as forcing for hydrological models. 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."; String licence "Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA). Please refer to the companion paper when using this dataset"; } }