On the order of autoregressive model in temperature series.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24510%2F00%3A00000024" target="_blank" >RIV/46747885:24510/00:00000024 - 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

On the order of autoregressive model in temperature series.

Popis výsledku v původním jazyce

Knowledge of the time series structure is essential for generating synthetic daily series of meteorological data in creating climate change scenarios. Weather generators, which contain parameters describing the series structure, have commonly been used in order to meet demands for temporal resolution of one day in the series. In climate change assessments, namely in agriculture and hydrology sectors, daily variables are necessary inputs to impact models. This paper attempts to identify the AR order in daily maximum temperature series by using a new nonparametric method. The method is applied to both measured and simulated temperature series. The simulated series are produced by a general circulation model (GCM) developed in Germany (ECHAM3/T42 - DKRZ1993). The ECHAM output used here consists of daily maximum temperatures simulated by the control and perturbed runs in a gridpoint located in the Czech Republic (south Moravia). Daily series measured in Moravia serve as the observation cou

Název v anglickém jazyce

On the order of autoregressive model in temperature series.

Popis výsledku anglicky

Knowledge of the time series structure is essential for generating synthetic daily series of meteorological data in creating climate change scenarios. Weather generators, which contain parameters describing the series structure, have commonly been used in order to meet demands for temporal resolution of one day in the series. In climate change assessments, namely in agriculture and hydrology sectors, daily variables are necessary inputs to impact models. This paper attempts to identify the AR order in daily maximum temperature series by using a new nonparametric method. The method is applied to both measured and simulated temperature series. The simulated series are produced by a general circulation model (GCM) developed in Germany (ECHAM3/T42 - DKRZ1993). The ECHAM output used here consists of daily maximum temperatures simulated by the control and perturbed runs in a gridpoint located in the Czech Republic (south Moravia). Daily series measured in Moravia serve as the observation cou

Druh

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

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2000

Kód důvěrnosti údajů

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

Název periodika

Meteorological journal

ISSN

1335-339 X

e-ISSN

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Svazek periodika

3

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

6

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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