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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

    <a href="/en/project/GA14-18675S" target="_blank" >GA14-18675S: Advanced models of precipitation extremes and their applications in high-resolution climate model simulations</a><br>

  • Continuities

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

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Meteorological Applications

  • ISSN

    1350-4827

  • e-ISSN

  • Volume of the periodical

    25

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    12

  • Pages from-to

    11-22

  • UT code for WoS article

    000419404400002

  • EID of the result in the Scopus database

    2-s2.0-85029675848