Success Rate Evaluation of Severe Storm Phenomena and Flash Floods Forecasting

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63520344" target="_blank" >RIV/70883521:28140/18:63520344 - 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

Success Rate Evaluation of Severe Storm Phenomena and Flash Floods Forecasting

Popis výsledku v původním jazyce

This article focuses on proposal new methods to predict strong convective storms that can cause flash floods. Flash flood is determined by the interaction of a number of factors such as the very intense convective precipitation (torrential rainfall accompanied by hail and strong wind gusts), slow motion of convective storms and the soil saturation. These factors have been included in the Algorithm of Storm Prediction, whose prediction results are presented in the two outcome of this article. The result section contains an assessment of the success rate of predictions of convective precipitation and storm intensity, which is complemented by the evaluation of the prediction success rate of severe storm phenomena. Primarily, the goal of the algorithm is to provide predictive information about risk of flash floods that comprise all the above mentioned outputs. Secondarily, the orieintally overview of other forecast outputs is part of the second result section.

Název v anglickém jazyce

Success Rate Evaluation of Severe Storm Phenomena and Flash Floods Forecasting

Popis výsledku anglicky

This article focuses on proposal new methods to predict strong convective storms that can cause flash floods. Flash flood is determined by the interaction of a number of factors such as the very intense convective precipitation (torrential rainfall accompanied by hail and strong wind gusts), slow motion of convective storms and the soil saturation. These factors have been included in the Algorithm of Storm Prediction, whose prediction results are presented in the two outcome of this article. The result section contains an assessment of the success rate of predictions of convective precipitation and storm intensity, which is complemented by the evaluation of the prediction success rate of severe storm phenomena. Primarily, the goal of the algorithm is to provide predictive information about risk of flash floods that comprise all the above mentioned outputs. Secondarily, the orieintally overview of other forecast outputs is part of the second result section.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LO1303" target="_blank" >LO1303: Podpora udržitelnosti a rozvoje Centra bezpečnostních, informačních a pokročilých technologií (CEBIA-Tech)</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

WSEAS Transactions on Environment and Development

ISSN

1790-5079

e-ISSN

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Svazek periodika

Volume 14

Číslo periodika v rámci svazku

neuveden

Stát vydavatele periodika

GR - Řecká republika

Počet stran výsledku

13

Strana od-do

548-560

Kód UT WoS článku

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EID výsledku v databázi Scopus

2-s2.0-85061271975