MOS-based precipitation forecasts for river basins.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F03%3A04033555" target="_blank" >RIV/68378289:_____/03:04033555 - 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

MOS-based precipitation forecasts for river basins.

Popis výsledku v původním jazyce

Statistical interpretation models of the ALADIN/LACE numerical weather prediction (NWP) MOS based precipitation forecasts for river basins model outputs have been developed to improve both quantitative (QPF) and probabilistic (PQPF) precipitation forecasts for the warm season. Daily means of area precipitation are forecast for 7 river basins by using the prognostic fields of the NWP model. Data from 3 warm seasons (April to September, 1998-2000) were used to develop and verify statistical interpretationmodels. Several statistical models based on multiple linear regression were used to produce QPF and compared. Two different statistical models, multiple linear regression and logistic regression, were used to produce PQPF, and their performance was compared. The statistical interpretation models significantly improved both the QPF and PQPF of the NWP model forecast. The RMSE of the QPF from the direct NWP model forecast decreased about 10-30% for individual river basins.

Název v anglickém jazyce

MOS-based precipitation forecasts for river basins.

Popis výsledku anglicky

Statistical interpretation models of the ALADIN/LACE numerical weather prediction (NWP) MOS based precipitation forecasts for river basins model outputs have been developed to improve both quantitative (QPF) and probabilistic (PQPF) precipitation forecasts for the warm season. Daily means of area precipitation are forecast for 7 river basins by using the prognostic fields of the NWP model. Data from 3 warm seasons (April to September, 1998-2000) were used to develop and verify statistical interpretationmodels. Several statistical models based on multiple linear regression were used to produce QPF and compared. Two different statistical models, multiple linear regression and logistic regression, were used to produce PQPF, and their performance was compared. The statistical interpretation models significantly improved both the QPF and PQPF of the NWP model forecast. The RMSE of the QPF from the direct NWP model forecast decreased about 10-30% for individual river basins.

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%2F1066" target="_blank" >GA205/01/1066: Kvantitativní prognóza srážek pro malá povodí</a><br>

Návaznosti

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

Rok uplatnění

2003

Kód důvěrnosti údajů

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

Název periodika

Weather and Forecasting

ISSN

0882-8156

e-ISSN

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Svazek periodika

18

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

12

Strana od-do

769-781

Kód UT WoS článku

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EID výsledku v databázi Scopus

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