L-moment Homogeneity Test in Trivariate Regional Frequency Analysis of Extreme Precipitation Events

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24510%2F17%3A00004429" target="_blank" >RIV/46747885:24510/17:00004429 - isvavai.cz</a>

Výsledek na webu

<a href="http://onlinelibrary.wiley.com/doi/10.1002/met.1664/full" target="_blank" >http://onlinelibrary.wiley.com/doi/10.1002/met.1664/full</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/met.1664" target="_blank" >10.1002/met.1664</a>

Jazyk výsledku

angličtina

Název v původním jazyce

L-moment Homogeneity Test in Trivariate Regional Frequency Analysis of Extreme Precipitation Events

Popis výsledku v původním jazyce

Identification of homogeneous regions is a key task in regional frequency analysis to obtain accurate estimates of a given event. Homogeneity testing based on multivariate L-moments has recently been proposed and all studies dealing with application of the methodology using real-world data still focus on the bivariate case. The practical aspects of the trivariate homogeneity tests for maximum annual 1, 3 and 7 day precipitation totals measured at stations in the Czech Republic are investigated. A trivariate model of the precipitation amounts for simulating synthetic homogeneous regions in parametric testing was determined by goodness-of-fit tests based on the Cramér–von Mises and Vuong statistics and Akaike and Bayesian information criteria while considering selected trivariate exchangeable Archimedean, fully nested Archimedean and mixed C-vine copulas in the copula model test space. Each of the regions into which the area of the Czech Republic is divided meets the homogeneity condition when using both the parametric and non-parametric L-moment homogeneity tests and considering three mixed C-vine copula models given by the bivariate Gumbel copula for two unconditional pair-copulas and normal, Frank or Plackett copula families for the conditional pair-copula for simulating synthetic homogeneous regions.

Název v anglickém jazyce

L-moment Homogeneity Test in Trivariate Regional Frequency Analysis of Extreme Precipitation Events

Popis výsledku anglicky

Identification of homogeneous regions is a key task in regional frequency analysis to obtain accurate estimates of a given event. Homogeneity testing based on multivariate L-moments has recently been proposed and all studies dealing with application of the methodology using real-world data still focus on the bivariate case. The practical aspects of the trivariate homogeneity tests for maximum annual 1, 3 and 7 day precipitation totals measured at stations in the Czech Republic are investigated. A trivariate model of the precipitation amounts for simulating synthetic homogeneous regions in parametric testing was determined by goodness-of-fit tests based on the Cramér–von Mises and Vuong statistics and Akaike and Bayesian information criteria while considering selected trivariate exchangeable Archimedean, fully nested Archimedean and mixed C-vine copulas in the copula model test space. Each of the regions into which the area of the Czech Republic is divided meets the homogeneity condition when using both the parametric and non-parametric L-moment homogeneity tests and considering three mixed C-vine copula models given by the bivariate Gumbel copula for two unconditional pair-copulas and normal, Frank or Plackett copula families for the conditional pair-copula for simulating synthetic homogeneous regions.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

<a href="/cs/project/GA14-18675S" target="_blank" >GA14-18675S: Pokročilé modely srážkových extrémů a jejich aplikace v simulacích klimatických modelů s vysokým rozlišením</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Meteorological Applications

ISSN

1350-4827

e-ISSN

—

Svazek periodika

25

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

12

Strana od-do

11-22

Kód UT WoS článku

000419404400002

EID výsledku v databázi Scopus

2-s2.0-85029675848