Interpolace meteorologického generátoru založené na GIS

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F06%3A00104135" target="_blank" >RIV/62156489:43210/06:00104135 - 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

GIS-based interpolation of weather generator

Popis výsledku v původním jazyce

CaliM&Ro project focuses on interpolation of spatial analysis of selected weather generator (WG) parameters which were abstracted from the observed time series of 125 stations of the Czech Hydrometeorological Institute. By now, we have tested GISbased methods (with the stress on kriging and cokriging), neural networks and the nearest neighbours method (Dubrovsky et al., EGU 2006; Dubrovsky et al., ECAC 2006). The aim of this paper is using the different GIS-based interpolation methods for the spatial analysis of WG parameters: kriging (kriging methods rely on the notion of autocorrelation as a function of distance), IDW (Inverse Distance Weighted -- each input point has a local influence that diminishes with distance) and spline (spline method fits a minimum-curvature surface through the input points). Due to its effect on various climatic characteristics, an altitude was found to significantly improve the quality of the interpolation. Specifically, in the GISbased interpolation, the a

Název v anglickém jazyce

GIS-based interpolation of weather generator

Popis výsledku anglicky

CaliM&Ro project focuses on interpolation of spatial analysis of selected weather generator (WG) parameters which were abstracted from the observed time series of 125 stations of the Czech Hydrometeorological Institute. By now, we have tested GISbased methods (with the stress on kriging and cokriging), neural networks and the nearest neighbours method (Dubrovsky et al., EGU 2006; Dubrovsky et al., ECAC 2006). The aim of this paper is using the different GIS-based interpolation methods for the spatial analysis of WG parameters: kriging (kriging methods rely on the notion of autocorrelation as a function of distance), IDW (Inverse Distance Weighted -- each input point has a local influence that diminishes with distance) and spline (spline method fits a minimum-curvature surface through the input points). Due to its effect on various climatic characteristics, an altitude was found to significantly improve the quality of the interpolation. Specifically, in the GISbased interpolation, the a

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%2F05%2F2265" target="_blank" >GA205/05/2265: Kalibrace generátoru meteorologických dat pro místa s žádnými či neúplnými pozorováními</a><br>

Návaznosti

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

Rok uplatnění

2006

Kód důvěrnosti údajů

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

Název periodika

EMS Annual Meeting Abstracts

ISSN

1812-7053

e-ISSN

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Svazek periodika

3

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

1

Strana od-do

256-256

Kód UT WoS článku

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EID výsledku v databázi Scopus

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