About: Comparison of selected methods used for the calculation of the snowpack spatial distribution, Bystřice River basin, Czechia

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About: Comparison of selected methods used for the calculation of the snowpack spatial distribution, Bystřice River basin, Czechia Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://geography.cz/sbornik/wp-content/uploads/downloads/2014/10/g14-3_s199-217_kucerova_jenicek.pdf
Description	The knowledge of the water volume stored in the snowpack, including its spatial distribution, is vital for many hydrological applications. Such information is useful for hydrological forecasts and it is often used for the calibration of snowmelt runoff models. Data from four field measurements of the snow water equivalent (SWE) carried out in two winter seasons were assessed by ten interpolation methods. Meas- urements from both snow accumulation and snowmelt periods were evaluated. The ability of methods to predict SWE at unmeasured locations was assessed by the means of cross validation. The best prediction accuracy of SWE was achieved by means of multiple a simple linear regressions, residual kriging and cokriging methods. The accuracy was enhanced by the use of elevation, aspect, slope and vegetation as variables in the calculation of the SWE. Elevation and vegetation show a significant correlation with the SWE in the study area. The multiple regression gave best results for snow accumulation period. However, the spatial variability of SWE was not successfully explained for snowmelt periods. The knowledge of the water volume stored in the snowpack, including its spatial distribution, is vital for many hydrological applications. Such information is useful for hydrological forecasts and it is often used for the calibration of snowmelt runoff models. Data from four field measurements of the snow water equivalent (SWE) carried out in two winter seasons were assessed by ten interpolation methods. Meas- urements from both snow accumulation and snowmelt periods were evaluated. The ability of methods to predict SWE at unmeasured locations was assessed by the means of cross validation. The best prediction accuracy of SWE was achieved by means of multiple a simple linear regressions, residual kriging and cokriging methods. The accuracy was enhanced by the use of elevation, aspect, slope and vegetation as variables in the calculation of the SWE. Elevation and vegetation show a significant correlation with the SWE in the study area. The multiple regression gave best results for snow accumulation period. However, the spatial variability of SWE was not successfully explained for snowmelt periods. (en)
Title	Comparison of selected methods used for the calculation of the snowpack spatial distribution, Bystřice River basin, Czechia Comparison of selected methods used for the calculation of the snowpack spatial distribution, Bystřice River basin, Czechia (en)
skos:prefLabel	Comparison of selected methods used for the calculation of the snowpack spatial distribution, Bystřice River basin, Czechia Comparison of selected methods used for the calculation of the snowpack spatial distribution, Bystřice River basin, Czechia (en)
skos:notation	RIV/00216208:11310/14:10281685!RIV15-MSM-11310___
http://linked.open...avai/riv/aktivita	I P S
http://linked.open...avai/riv/aktivity	I, P(GA13-32133S), P(GAP209/12/0997), S
http://linked.open...iv/cisloPeriodika	3
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Jeníček, Michal Kučerová, Dana
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Přírodovědecká fakulta
http://linked.open...dnocenehoVysledku	8187
http://linked.open...ai/riv/idVysledku	RIV/00216208:11310/14:10281685
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	interpolation methods; cross validation; snow (en)
http://linked.open.../riv/klicoveSlovo	snow cross validation interpolation methods
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[8847C9B0D277]
http://linked.open...i/riv/nazevZdroje	Geografie. Sborník české geografické společnosti (Geography Journal of Czech Geographic Society)
http://linked.open...in/vavai/riv/obor	DA
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Headwaters retention potential with respect to hydrological extremes Impact of disturbance on the dynamics of fluvial processes in mountain landscape
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	119
http://linked.open...iv/tvurceVysledku	Jeníček, Michal Kučerová, Dana
http://linked.open...ain/vavai/riv/wos	000342652600001
issn	1212-0014
number of pages	19 (xsd:int)
http://localhost/t...ganizacniJednotka	11310

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