"http://www.cuec.eu/media/proceedings-european-seminar.epub" . . . "5"^^ . "11310" . "snowmelt; snow distribution; snow accumulation; interpolation methods; cross validation"@en . "2"^^ . "Comparison of interpolation methods for estimating the spatial distribution of the snowpack"@en . "Ku\u010Derov\u00E1, Dana" . "Jen\u00ED\u010Dek, Michal" . . . "Proceedings of the XIV European Seminar on Geography of Water %22Environmental Conflicts and Sustainable Water Policies in the Mediterranean Region%22" . . "2"^^ . "Cagliary" . . . . "I, P(GAP209/12/0997), S" . . "[C5153C40F79E]" . . "2011-07-01+02:00"^^ . . "Comparison of interpolation methods for estimating the spatial distribution of the snowpack"@en . "Comparison of interpolation methods for estimating the spatial distribution of the snowpack" . . "The main aim of this study is to assess selected interpolation methods in terms of their prediction capability of SWE in unknown points. The evaluation of methods is performed by means of cross validation and comparison of simulated hydrographs in the outlet profile of the Byst\u0159ice River basin. The best prediction of spatial distribution of snow water equivalent was provided by global and geostatistical interpolation methods. Moreover the prediction quality can be enhanced by including one or more independent variables in the calculation of the dependent one. Finding independent variables that affect snow accumulation and melting is therefore important for increasing the accuracy of spatial distribution of snowpack in the basin." . "Cagliari" . "RIV/00216208:11310/13:10145814!RIV14-GA0-11310___" . "66230" . . "RIV/00216208:11310/13:10145814" . "Comparison of interpolation methods for estimating the spatial distribution of the snowpack" . . . . "The main aim of this study is to assess selected interpolation methods in terms of their prediction capability of SWE in unknown points. The evaluation of methods is performed by means of cross validation and comparison of simulated hydrographs in the outlet profile of the Byst\u0159ice River basin. The best prediction of spatial distribution of snow water equivalent was provided by global and geostatistical interpolation methods. Moreover the prediction quality can be enhanced by including one or more independent variables in the calculation of the dependent one. Finding independent variables that affect snow accumulation and melting is therefore important for increasing the accuracy of spatial distribution of snowpack in the basin."@en . . . "978-88-8467-822-5" . . . . . "Universita degli Studi di Cagliari" .