Time variation of the effect of geographical factors on spatial distribution of summer precipitation over the Czech Republic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F11%3A00360934" target="_blank" >RIV/68378289:_____/11:00360934 - isvavai.cz</a>

Výsledek na webu

<a href="http://owww.met.hu/download.php?id=2&vol=115&no=1-2&a=4" target="_blank" >http://owww.met.hu/download.php?id=2&vol=115&no=1-2&a=4</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Time variation of the effect of geographical factors on spatial distribution of summer precipitation over the Czech Republic

Popis výsledku v původním jazyce

This study deals with modeling of spatial distribution of summer precipitation over the Czech Republic. The aim is to analyze the time variation of the relationships between geographical factors and precipitation during summer. Various candidate geographical predictors are evaluated in the stepwise regression models for summer precipitation. The most significant for precipitation regression models have been selected using PCA and STW approaches. Multivariate regression precipitation models are generatedfor each year, and each overlapping decade from 1971 to 2003 using them as predictors. Linear trends in regression coefficients are estimated using a least-squares regression to detect the possible changes in relationships between summer precipitation and geographical variables. No significant trend has been found during 1971-2003. Therefore, the relationships between these significant predictors and precipitation are stable in time.

Název v anglickém jazyce

Time variation of the effect of geographical factors on spatial distribution of summer precipitation over the Czech Republic

Popis výsledku anglicky

This study deals with modeling of spatial distribution of summer precipitation over the Czech Republic. The aim is to analyze the time variation of the relationships between geographical factors and precipitation during summer. Various candidate geographical predictors are evaluated in the stepwise regression models for summer precipitation. The most significant for precipitation regression models have been selected using PCA and STW approaches. Multivariate regression precipitation models are generatedfor each year, and each overlapping decade from 1971 to 2003 using them as predictors. Linear trends in regression coefficients are estimated using a least-squares regression to detect the possible changes in relationships between summer precipitation and geographical variables. No significant trend has been found during 1971-2003. Therefore, the relationships between these significant predictors and precipitation are stable in time.

Druh

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

CEP obor

DG - Vědy o atmosféře, meteorologie

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název periodika

Idöjárás. Quarterly journal of the Hungarian meteorological society

ISSN

0324-6329

e-ISSN

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Svazek periodika

115

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

HU - Maďarsko

Počet stran výsledku

20

Strana od-do

51-70

Kód UT WoS článku

000291351700005

EID výsledku v databázi Scopus

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