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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F02%3A04020206" target="_blank" >RIV/68378289:_____/02:04020206 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

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

Original language 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 seriesof 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 thatthe 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.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

DG - Atmospheric sciences, meteorology

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2002

Confidentiality

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

Name of the periodical

Studia geophysica & geodaetica

ISSN

0039-3169

e-ISSN

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Volume of the periodical

46

Issue of the periodical within the volume

N/A

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

20

Pages from-to

93-112

UT code for WoS article

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EID of the result in the Scopus database

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