Application of the Weather Generator to Bias-correct the Regional Climate Model Output

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F15%3A00452486" target="_blank" >RIV/68378289:_____/15:00452486 - 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

Application of the Weather Generator to Bias-correct the Regional Climate Model Output

Popis výsledku v původním jazyce

This contribution presents a methodology, which is based on merging information from observations and RCM and is used to produce a gridded parametric daily WG capable to generate realistic synthetic multivariate weather series for weather-ungauged locations. In this procedure, WG is calibrated with RCM-simulated multi-variate weather series in the first step, and then, in the second step, gridspecific WG parameters are de-biased by spatially interpolated correction factors defined by comparing WG parameters derived from gridded RCM weather series vs. spatially scarcer observations. The quality of the weather series produced by the resultant gridded WG will be assessed in terms of selected climatic characteristics, an emphasis will be put on characteristics related to variability and extremes of surface temperature and precipitation. The validation will be made for two regions: (a) Czech Republic, which represents the climate in the Central Europe, and (b) Sardinia, which represents the

Název v anglickém jazyce

Application of the Weather Generator to Bias-correct the Regional Climate Model Output

Popis výsledku anglicky

This contribution presents a methodology, which is based on merging information from observations and RCM and is used to produce a gridded parametric daily WG capable to generate realistic synthetic multivariate weather series for weather-ungauged locations. In this procedure, WG is calibrated with RCM-simulated multi-variate weather series in the first step, and then, in the second step, gridspecific WG parameters are de-biased by spatially interpolated correction factors defined by comparing WG parameters derived from gridded RCM weather series vs. spatially scarcer observations. The quality of the weather series produced by the resultant gridded WG will be assessed in terms of selected climatic characteristics, an emphasis will be put on characteristics related to variability and extremes of surface temperature and precipitation. The validation will be made for two regions: (a) Czech Republic, which represents the climate in the Central Europe, and (b) Sardinia, which represents the

Druh

O - Ostatní výsledky

CEP obor

DG - Vědy o atmosféře, meteorologie

OECD FORD obor

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Projekt

<a href="/cs/project/LD12029" target="_blank" >LD12029: Downscaling globálních klimatických modelů pomocí stochastického meteorologického generátoru</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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