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Verification of convection predictors for the algorithm of statistical prediction of convective precipitation

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dc.title Verification of convection predictors for the algorithm of statistical prediction of convective precipitation en
dc.contributor.author Šaur, David
dc.contributor.author Žák, Michal
dc.relation.ispartof Lecture Notes in Networks and Systems
dc.identifier.issn 2367-3370 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn 2367-3389 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-03-109069-1
dc.date.issued 2022
utb.relation.volume 501
dc.citation.spage 584
dc.citation.epage 593
dc.event.title 11th Computer Science On-line Conference, CSOC 2022
dc.event.location online
dc.event.sdate 2022-04-26
dc.event.edate 2022-04-26
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.identifier.doi 10.1007/978-3-031-09070-7_48
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-031-09070-7_48
dc.subject weather forecast en
dc.subject severe storm en
dc.subject convective precipitation en
dc.subject algorithm en
dc.subject forecast verification en
dc.subject crisis management en
dc.description.abstract This paper focuses on the description of the methodology of verification of convection predictors, which are implemented in the combined prediction in the Algorithm for statistical prediction of convective precipitation. The methodological part describes the algorithm of the statistical prediction of convective precipitation and the procedure for evaluating the verification of predictors. The resulting part contains the outputs from the verification of convection predictors for three main prediction categories - Convection triggering, Storm intensity and Convective cloud type. The outputs of this article will be intended for the design of a combined forecast, which is part of the Algorithm for the statistical prediction of convective precipitation. This algorithm can be used as one of the sources of more accurate predictions of convective storms, convective precipitation and dangerous phenomena as a support in the decision-making of the crisis management bodies of the region. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1011088
utb.identifier.obdid 43883652
utb.identifier.scopus 2-s2.0-85135035541
utb.identifier.wok 000893645700048
utb.source d-scopus
dc.date.accessioned 2022-08-17T13:17:25Z
dc.date.available 2022-08-17T13:17:25Z
dc.description.sponsorship [VI20192022134]
utb.contributor.internalauthor Šaur, David
utb.fulltext.sponsorship This work was supported by the project No. VI20192022134 - System of more accurate prediction of convective precipitation over the regional territorial unit.
utb.wos.affiliation [Saur, David] Tomas Bata Univ Zlin, Fac Appl Informat, 4511 Stranemi, Zlin, Czech Republic; [Zak, Michal] Charles Univ Prague, Fac Math & Phys, Ke Karlovu 3, Prague 12116 2, Czech Republic
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi, 4511, Czech Republic; Faculty of Mathematics and Physics, Charles University, Ke Karlovu 3, Praha 2, 121 16, Czech Republic
utb.fulltext.projects VI20192022134
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