Cykly a trendy v českých teplotních řadách s použitím vejvletů

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F04%3A00011795" target="_blank" >RIV/00216224:14310/04:00011795 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Cycles and trends in the Czech temperature series using wavelet transform

Popis výsledku v původním jazyce

Temperature variability in the Czech Republic is analyzed by means of the wavelet transform. This advanced time-frequency analysis provides information about the nature and time-frequency localization of present oscillations. The data-set comprises fourmean monthly temperature series from Prague-Klementinum, Brno, Mt. Milešovka and the gridded temperature series for the Czech Republic. The results of their wavelet transforms are presented as a) trend analysis (computed by the inverse wavelet transform)and b) periodicities and oscillations (distinguishable from the series wavelet power spectra and global wavelet spectra). The results show considerable similarity among individual series. Examples are the common time period between 1930 and 2002 expressed in all power spectra, the pronounced oscillations of about 8 and 12-14 years in all series, and the noticeable increase of temperatures in all cases. As a supplement to this study, wavelet transforms were performed on the variance-adju

Název v anglickém jazyce

Cycles and trends in the Czech temperature series using wavelet transform

Popis výsledku anglicky

Temperature variability in the Czech Republic is analyzed by means of the wavelet transform. This advanced time-frequency analysis provides information about the nature and time-frequency localization of present oscillations. The data-set comprises fourmean monthly temperature series from Prague-Klementinum, Brno, Mt. Milešovka and the gridded temperature series for the Czech Republic. The results of their wavelet transforms are presented as a) trend analysis (computed by the inverse wavelet transform)and b) periodicities and oscillations (distinguishable from the series wavelet power spectra and global wavelet spectra). The results show considerable similarity among individual series. Examples are the common time period between 1930 and 2002 expressed in all power spectra, the pronounced oscillations of about 8 and 12-14 years in all series, and the noticeable increase of temperatures in all cases. As a supplement to this study, wavelet transforms were performed on the variance-adju

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DG - Vědy o atmosféře, meteorologie

OECD FORD obor

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Projekt

<a href="/cs/project/GA205%2F01%2F1067" target="_blank" >GA205/01/1067: Meteorologické extrémy a jejich dopady v Českých zemích od 16. století</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2004

Kód důvěrnosti údajů

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

Název periodika

International Journal of Climatology

ISSN

0899-8418

e-ISSN

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Svazek periodika

24

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

10

Strana od-do

1661-1670

Kód UT WoS článku

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EID výsledku v databázi Scopus

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