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Statements

Subject Item
n2:RIV%2F00216208%3A11310%2F14%3A10282297%21RIV15-MSM-11310___
rdf:type
n15:Vysledek skos:Concept
rdfs:seeAlso
http://www.nat-hazards-earth-syst-sci.net/14/473/2014/nhess-14-473-2014.pdf
dcterms:description
After an overview of existing methods, we present a novel method of %22event-adjusted%22 evaluation of extremeness of weather and climate events. It is based on optimization of both the considered area and the time duration for every event. The method consists of three steps: (i) estimation of return periods of a representative variable at individual sites, performed separately for various time windows; (ii) spatial interpolation of the point return period data; and (iii) searching the area and the time window in which the extremeness of the event was maximum. The extremeness is quantified as the common logarithm of the spatial geometric mean of the return periods multiplied by the radius of a circle of the same area as the one over which the geometric mean is taken. The maximum product is referred to as the Weather Extremity Index (WEI). Two precipitation events, which affected the Czech Republic in May and in August 2010, were evaluated by the WEI for illustration. Validation of the method on sufficiently long data series is still needed. Moreover, the WEI is generally applicable regardless of the studied phenomenon (heavy rains, heat waves, windstorms, etc.). This makes it possible to study various weather and climate extremes from the viewpoint of possible recent and future changes in their frequency, seasonal distribution, and circulation conditions accompanying them. After an overview of existing methods, we present a novel method of %22event-adjusted%22 evaluation of extremeness of weather and climate events. It is based on optimization of both the considered area and the time duration for every event. The method consists of three steps: (i) estimation of return periods of a representative variable at individual sites, performed separately for various time windows; (ii) spatial interpolation of the point return period data; and (iii) searching the area and the time window in which the extremeness of the event was maximum. The extremeness is quantified as the common logarithm of the spatial geometric mean of the return periods multiplied by the radius of a circle of the same area as the one over which the geometric mean is taken. The maximum product is referred to as the Weather Extremity Index (WEI). Two precipitation events, which affected the Czech Republic in May and in August 2010, were evaluated by the WEI for illustration. Validation of the method on sufficiently long data series is still needed. Moreover, the WEI is generally applicable regardless of the studied phenomenon (heavy rains, heat waves, windstorms, etc.). This makes it possible to study various weather and climate extremes from the viewpoint of possible recent and future changes in their frequency, seasonal distribution, and circulation conditions accompanying them.
dcterms:title
Event-adjusted evaluation of weather and climate extremes Event-adjusted evaluation of weather and climate extremes
skos:prefLabel
Event-adjusted evaluation of weather and climate extremes Event-adjusted evaluation of weather and climate extremes
skos:notation
RIV/00216208:11310/14:10282297!RIV15-MSM-11310___
n4:aktivita
n14:I n14:P
n4:aktivity
I, P(GAP209/11/1990)
n4:cisloPeriodika
2
n4:dodaniDat
n20:2015
n4:domaciTvurceVysledku
n12:3862569
n4:druhVysledku
n16:J
n4:duvernostUdaju
n18:S
n4:entitaPredkladatele
n17:predkladatel
n4:idSjednocenehoVysledku
15522
n4:idVysledku
RIV/00216208:11310/14:10282297
n4:jazykVysledku
n6:eng
n4:klicovaSlova
Czech Republic; return period; extremity index; climate extremes; weather extremes
n4:klicoveSlovo
n5:Czech%20Republic n5:climate%20extremes n5:weather%20extremes n5:return%20period n5:extremity%20index
n4:kodStatuVydavatele
DE - Spolková republika Německo
n4:kontrolniKodProRIV
[C8D6D2F2F9D8]
n4:nazevZdroje
Natural Hazards and Earth System Science
n4:obor
n13:DG
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
2
n4:projekt
n19:GAP209%2F11%2F1990
n4:rokUplatneniVysledku
n20:2014
n4:svazekPeriodika
14
n4:tvurceVysledku
Kašpar, Marek Müller, Miloslav
n4:wos
000332336700022
s:issn
1561-8633
s:numberOfPages
11
n10:doi
10.5194/nhess-14-473-2014
n11:organizacniJednotka
11310