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Conversion of meteorological input data implemented in the algorithm of storm prediction

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dc.title Conversion of meteorological input data implemented in the algorithm of storm prediction en
dc.contributor.author Šaur, David
dc.contributor.author Švejda, Jaromír
dc.contributor.author Žák, Roman
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-03-019812-1
dc.date.issued 2019
utb.relation.volume 986
dc.citation.spage 357
dc.citation.epage 367
dc.event.title 8th Computer Science On-line Conference, CSOC 2019
dc.event.location online
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2019-04-24
dc.event.edate 2019-04-27
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-030-19813-8_37
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-030-19813-8_37
dc.subject Weather forecast en
dc.subject Severe storm en
dc.subject Convective precipitation en
dc.subject Algorithm en
dc.subject Data conversion en
dc.subject Data mining en
dc.subject Aggregation method en
dc.description.abstract This article focuses on a new way of converting input meteorological parameters, based on which outputs are computed in the Algorithm of Storm Prediction (Algorithm). This Algorithm has been developed to forecast precipitation and dangerous phenomena associated with convective severe storms that may cause floods in the Czech Republic. Transformation Algorithm of Input Meteorological Parameters is shown in the methodological part for data conversion purposes. The result section evaluates the accuracy of converted outputs using three aggregation methods. The outputs of this article will be used to improve the quality of converted data for computing outputs in the Algorithm of Storm Prediction. © Springer Nature Switzerland AG 2019. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008746
utb.identifier.obdid 43880018
utb.identifier.scopus 2-s2.0-85065916240
utb.identifier.wok 000485163400037
utb.source d-scopus
dc.date.accessioned 2019-08-13T10:17:17Z
dc.date.available 2019-08-13T10:17:17Z
dc.description.sponsorship [CEBIA-Tech LO1303]; [A2.4-ICT]
utb.ou CEBIA-Tech
utb.contributor.internalauthor Šaur, David
utb.contributor.internalauthor Švejda, Jaromír
utb.contributor.internalauthor Žák, Roman
utb.fulltext.affiliation David Šaur, Jaromír Švejda, Roman Žák Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, Zlin, Czech Republic {saur,svejda}@utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by the project No. CEBIA-Tech LO1303, A2.4 –ICT for support of crisis management.
utb.wos.affiliation [Saur, David; Svejda, Jaromir; Zak, Roman] Tomas Bata Univ Zlin, Fac Appl Informat, Nad Stranemi 4511, Zlin, Czech Republic
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, Zlin, Czech Republic
utb.fulltext.projects LO1303
utb.fulltext.projects A2.4
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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