Comparison of geostatistical approaches dealing with the distribution of snow

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F12%3A86082624" target="_blank" >RIV/61989100:27350/12:86082624 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.2478/s13533-012-0103-1" target="_blank" >http://dx.doi.org/10.2478/s13533-012-0103-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2478/s13533-012-0103-1" target="_blank" >10.2478/s13533-012-0103-1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of geostatistical approaches dealing with the distribution of snow

Popis výsledku v původním jazyce

This paper deals with a stochastic simulation. Snow cover, representing a regionalized variable, was studied and used as an input parameter for a stochastic simulation. The first step included basic statistical analysis of individual parameters of snow,e.g. snow height. In the next step, an analysis of relationships between the snow and the geomorphological parameters (altitude, slope and aspect) was conducted. The most current methods of spatial interpolation and multifactor evaluation are based on weighted regression relationships. Primarily, the use of conditional stochastic simulation was tested in a variety of software. The main aim of this investigation is to compare selected interpolation methods with stochastic simulation, based on the development of the values and on the evaluation of the incidence of extreme events. The study shall provide users with recommendations for selecting the optimal interpolation method and its application to real data.

Název v anglickém jazyce

Comparison of geostatistical approaches dealing with the distribution of snow

Popis výsledku anglicky

This paper deals with a stochastic simulation. Snow cover, representing a regionalized variable, was studied and used as an input parameter for a stochastic simulation. The first step included basic statistical analysis of individual parameters of snow,e.g. snow height. In the next step, an analysis of relationships between the snow and the geomorphological parameters (altitude, slope and aspect) was conducted. The most current methods of spatial interpolation and multifactor evaluation are based on weighted regression relationships. Primarily, the use of conditional stochastic simulation was tested in a variety of software. The main aim of this investigation is to compare selected interpolation methods with stochastic simulation, based on the development of the values and on the evaluation of the incidence of extreme events. The study shall provide users with recommendations for selecting the optimal interpolation method and its application to real data.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DA - Hydrologie a limnologie

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Central European Journal of Geosciences

ISSN

1896-1517

e-ISSN

—

Svazek periodika

4

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

11

Strana od-do

603-613

Kód UT WoS článku

000312256900006

EID výsledku v databázi Scopus

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