Forecasting of Convective Precipitation Through NWP Models and Algorithm of Storms Prediction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63516664" target="_blank" >RIV/70883521:28140/17:63516664 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-57261-1_13" target="_blank" >http://dx.doi.org/10.1007/978-3-319-57261-1_13</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-57261-1_13" target="_blank" >10.1007/978-3-319-57261-1_13</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Forecasting of Convective Precipitation Through NWP Models and Algorithm of Storms Prediction

Popis výsledku v původním jazyce

This article focuses on contemporary possibilities of forecasting of convective storms which may cause flash floods. The first chapters are presented predictive tools such as numerical weather prediction models (NWP models) and the algorithm of convective storms prediction, which includes a storm prediction based on the principles of mathematical statistics, probability theory and artificial intelligence methods. Discussion section provides outputs from the success rate of these forecasting tools on the historical weather situation for the year 2016. The Algorithm´s output may be useful for early warning of population and notification of crisis management authorities before a potential threat of flash floods in the Zlin Region.

Název v anglickém jazyce

Forecasting of Convective Precipitation Through NWP Models and Algorithm of Storms Prediction

Popis výsledku anglicky

This article focuses on contemporary possibilities of forecasting of convective storms which may cause flash floods. The first chapters are presented predictive tools such as numerical weather prediction models (NWP models) and the algorithm of convective storms prediction, which includes a storm prediction based on the principles of mathematical statistics, probability theory and artificial intelligence methods. Discussion section provides outputs from the success rate of these forecasting tools on the historical weather situation for the year 2016. The Algorithm´s output may be useful for early warning of population and notification of crisis management authorities before a potential threat of flash floods in the Zlin Region.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Artificial Intelligence Trends in Intelligent Systems, CSOC2017, VOL 1 Book Series: Advances in Intelligent Systems and Computing

ISBN

978-3-319-57260-4

ISSN

2194-5357

e-ISSN

neuvedeno

Počet stran výsledku

11

Strana od-do

125-135

Název nakladatele

Springer International Publishing AG

Místo vydání

Cham

Místo konání akce

Zlín

Datum konání akce

26. 4. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000405337000013