Kontaktujte nás | Jazyk: čeština English
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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