Forecasting of convective precipitation through NWP models and algorithm of storms prediction

Šaur, David

dc.title	Forecasting of convective precipitation through NWP models and algorithm of storms prediction	en
dc.contributor.author	Šaur, David
dc.relation.ispartof	Advances in Intelligent Systems and Computing
dc.identifier.issn	2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-3-319-57260-4
dc.date.issued	2017
utb.relation.volume	573
dc.citation.spage	125
dc.citation.epage	136
dc.event.title	6th Computer Science On-line Conference, CSOC 2017
dc.event.sdate	2017-04-26
dc.event.edate	2017-04-29
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Springer Verlag
dc.identifier.doi	10.1007/978-3-319-57261-1_13
dc.relation.uri	https://link.springer.com/chapter/10.1007/978-3-319-57261-1_13
dc.subject	Artificial intelligence	en
dc.subject	Convective precipitation	en
dc.subject	Crisis management	en
dc.subject	Early warning	en
dc.subject	Flash floods	en
dc.subject	Weather forecast	en
dc.description.abstract	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. © Springer International Publishing AG 2017.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1007372
utb.identifier.obdid	43876745
utb.identifier.scopus	2-s2.0-85018673353
utb.identifier.wok	000405337000013
utb.source	d-scopus
dc.date.accessioned	2017-09-08T12:14:47Z
dc.date.available	2017-09-08T12:14:47Z
dc.description.sponsorship	IGA/FAI/2017/019, UTB, Univerzita Tomáše Bati ve Zlíně
dc.description.sponsorship	Internal Grant Agency of Tomas Bata University [IGA/FAU2017/019]
utb.contributor.internalauthor	Šaur, David
utb.fulltext.affiliation	David Šaur Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stranemi 4511 [email protected]
utb.fulltext.dates	-
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utb.fulltext.sponsorship	This work was supported by the Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2017/019 “Information Support of Crisis Management at the Regional Level”.