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Statements

Subject Item
n2:RIV%2F68378289%3A_____%2F11%3A00368553%21RIV12-AV0-68378289
rdf:type
skos:Concept n7:Vysledek
rdfs:seeAlso
http://onlinelibrary.wiley.com/doi/10.1002/joc.2182/abstract
dcterms:description
Several approaches to estimating distributions of precipitation extremes are compared by means of simulation experiments, and their applications into observed data in the Czech Republic are evaluated. Regional frequency models, which take into account data in fixed or flexible regions’ when fitting a distribution at any site, lead to estimates with much smaller errors compared to a single-site analysis, and efficiently reduce random and climatologically irrelevant variations in the estimates of the model parameters and high quantiles. The region-of-influence methodology with a built-in regional homogeneity test is recognized as a useful approach, with the model based on proximity of sites outperforming the Hosking-Wallis regional frequency analysis. Several approaches to estimating distributions of precipitation extremes are compared by means of simulation experiments, and their applications into observed data in the Czech Republic are evaluated. Regional frequency models, which take into account data in fixed or flexible regions’ when fitting a distribution at any site, lead to estimates with much smaller errors compared to a single-site analysis, and efficiently reduce random and climatologically irrelevant variations in the estimates of the model parameters and high quantiles. The region-of-influence methodology with a built-in regional homogeneity test is recognized as a useful approach, with the model based on proximity of sites outperforming the Hosking-Wallis regional frequency analysis.
dcterms:title
Comparison of regional and at-site approaches to modelling probabilities of heavy precipitation Comparison of regional and at-site approaches to modelling probabilities of heavy precipitation
skos:prefLabel
Comparison of regional and at-site approaches to modelling probabilities of heavy precipitation Comparison of regional and at-site approaches to modelling probabilities of heavy precipitation
skos:notation
RIV/68378289:_____/11:00368553!RIV12-AV0-68378289
n7:predkladatel
n8:ico%3A68378289
n4:aktivita
n14:Z n14:P
n4:aktivity
P(GAP209/10/2045), P(GAP209/10/2265), P(KJB300420801), Z(AV0Z30420517)
n4:cisloPeriodika
10
n4:dodaniDat
n13:2012
n4:domaciTvurceVysledku
Gaál, Ladislav n17:3596974
n4:druhVysledku
n15:J
n4:duvernostUdaju
n6:S
n4:entitaPredkladatele
n18:predkladatel
n4:idSjednocenehoVysledku
191214
n4:idVysledku
RIV/68378289:_____/11:00368553
n4:jazykVysledku
n20:eng
n4:klicovaSlova
extreme value analysis; regional frequency analysis; precipitation extremes; region-of-influence method; central Europe
n4:klicoveSlovo
n5:regional%20frequency%20analysis n5:region-of-influence%20method n5:central%20Europe n5:precipitation%20extremes n5:extreme%20value%20analysis
n4:kodStatuVydavatele
GB - Spojené království Velké Británie a Severního Irska
n4:kontrolniKodProRIV
[66F6C67B4D01]
n4:nazevZdroje
International Journal of Climatology
n4:obor
n21:DG
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
3
n4:projekt
n16:GAP209%2F10%2F2265 n16:GAP209%2F10%2F2045 n16:KJB300420801
n4:rokUplatneniVysledku
n13:2011
n4:svazekPeriodika
31
n4:tvurceVysledku
Gaál, Ladislav Picek, J. Kyselý, Jan
n4:wos
000293247600004
n4:zamer
n11:AV0Z30420517
s:issn
0899-8418
s:numberOfPages
16
n19:doi
10.1002/joc.2182