Forecasting of Convective Precipitation Through NWP Models and Algorithm of Storms Prediction
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Forecasting of Convective Precipitation Through NWP Models and Algorithm of Storms Prediction
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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
Number of pages
11
Pages from-to
125-135
Publisher name
Springer International Publishing AG
Place of publication
Cham
Event location
Zlín
Event date
Apr 26, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000405337000013