Spatial correlation structure of monthly rainfall at a mesoscale region of north-eastern Bohemia

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F15%3A67461" target="_blank" >RIV/60460709:41330/15:67461 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/s00704-014-1241-9" target="_blank" >http://dx.doi.org/10.1007/s00704-014-1241-9</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00704-014-1241-9" target="_blank" >10.1007/s00704-014-1241-9</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Spatial correlation structure of monthly rainfall at a mesoscale region of north-eastern Bohemia

Popis výsledku v původním jazyce

The spatial correlation structure of monthly rainfall was analysed using data from 38 rain gauges located in north-eastern Bohemia. Three different inter-station correlation measures?Pearson?s correlation coefficient, Spearman?s rank-order correlation coefficient and Kendall?s tau rank correlation coefficient?were estimated using monthly rainfall records from a recent 31-year period. Six different theoretical parametric correlation models were identified using the nonlinear least squares method. The spatial correlation structure was described using the fitted parameters. Comparison of estimated correlation models showed that, as measured by standard error, the best fitted was a two-parameter exponential model. The relationships between parameters of the exponential two-parameter model were further explored and described. The temporal variability of correlation showed trends in the fitted parameters over the studied period. On a seasonal basis, the correlation between the stations was s

Název v anglickém jazyce

Spatial correlation structure of monthly rainfall at a mesoscale region of north-eastern Bohemia

Popis výsledku anglicky

The spatial correlation structure of monthly rainfall was analysed using data from 38 rain gauges located in north-eastern Bohemia. Three different inter-station correlation measures?Pearson?s correlation coefficient, Spearman?s rank-order correlation coefficient and Kendall?s tau rank correlation coefficient?were estimated using monthly rainfall records from a recent 31-year period. Six different theoretical parametric correlation models were identified using the nonlinear least squares method. The spatial correlation structure was described using the fitted parameters. Comparison of estimated correlation models showed that, as measured by standard error, the best fitted was a two-parameter exponential model. The relationships between parameters of the exponential two-parameter model were further explored and described. The temporal variability of correlation showed trends in the fitted parameters over the studied period. On a seasonal basis, the correlation between the stations was s

Druh

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

CEP obor

DG - Vědy o atmosféře, meteorologie

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

Theoretical and Applied Climatology

ISSN

0177-798X

e-ISSN

—

Svazek periodika

121

Číslo periodika v rámci svazku

1-2

Stát vydavatele periodika

AT - Rakouská republika

Počet stran výsledku

17

Strana od-do

359-375

Kód UT WoS článku

000356539300030

EID výsledku v databázi Scopus

—