About: Probability estimates of extreme temperature events: stochastic modelling approach vs. extreme value distributions.

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The paper deals with probability estimates of temperature extremes (annual temperature maxima and heat waves) in the Czech Republic. Two statistical methods of the probability estimations are compared; one based on the stochastic modelling of time series of daily maximum temperature (TMAX) using the first-order autoregressive (AR(1)) model, the other consisting in fitting extreme value distribution to the sample of annual temperature peaks. Application of the appropriate statistical tools indicates that the heat wave and particularly the long period of consecutive tropical days in 1994 were likely a more rare event than the record-breaking temperatures in July 1983 exceeding 40~C. The paper deals with probability estimates of temperature extremes (annual temperature maxima and heat waves) in the Czech Republic. Two statistical methods of the probability estimations are compared; one based on the stochastic modelling of time series of daily maximum temperature (TMAX) using the first-order autoregressive (AR(1)) model, the other consisting in fitting extreme value distribution to the sample of annual temperature peaks. Application of the appropriate statistical tools indicates that the heat wave and particularly the long period of consecutive tropical days in 1994 were likely a more rare event than the record-breaking temperatures in July 1983 exceeding 40~C. (en)
Title	Probability estimates of extreme temperature events: stochastic modelling approach vs. extreme value distributions. Probability estimates of extreme temperature events: stochastic modelling approach vs. extreme value distributions. (en)
skos:prefLabel	Probability estimates of extreme temperature events: stochastic modelling approach vs. extreme value distributions. Probability estimates of extreme temperature events: stochastic modelling approach vs. extreme value distributions. (en)
skos:notation	RIV/68378289:_____/02:04020206!RIV/2003/GA0/A04003/N
http://linked.open.../vavai/riv/strany	93;112
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GA205/99/1561), P(IAA3042903), Z(AV0Z3042911)
http://linked.open...iv/cisloPeriodika	N/A
http://linked.open...vai/riv/dodaniDat	2003
http://linked.open...aciTvurceVysledku	Kyselý, Jan
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav fyziky atmosféry AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	660298
http://linked.open...ai/riv/idVysledku	RIV/68378289:_____/02:04020206
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	autoregressive model, extreme value distribution, L moments (en)
http://linked.open.../riv/klicoveSlovo	extreme value distribution L moments autoregressive model
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[430D553E823D]
http://linked.open...i/riv/nazevZdroje	Studia geophysica & geodaetica
http://linked.open...in/vavai/riv/obor	DG
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...ocetUcastnikuAkce	0 (xsd:int)
http://linked.open...nichUcastnikuAkce	0 (xsd:int)
http://linked.open...vavai/riv/projekt	Climate change impacts on ecosystems of deep stratified reservoirs Climate change impacts on managed ecosystems
http://linked.open...UplatneniVysledku	2002
http://linked.open...v/svazekPeriodika	46
http://linked.open...iv/tvurceVysledku	Kyselý, Jan
http://linked.open...n/vavai/riv/zamer	Investigations of selected processes in the Earth's atmosphere
issn	0039-3169
number of pages	20 (xsd:int)

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