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Evaluation of the accuracy of numerical weather prediction models

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dc.title Evaluation of the accuracy of numerical weather prediction models 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 978-3-319-18475-3
dc.identifier.isbn 978-3-319-18476-0
dc.date.issued 2015
utb.relation.volume 347
dc.citation.spage 181
dc.citation.epage 191
dc.event.title 4th Computer Science On-line Conference, CSOC 2015
dc.event.location online
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2015-04-27
dc.event.edate 2015-04-30
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-18476-0_19
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-18476-0_19
dc.subject Convective precipitation en
dc.subject Crisis management en
dc.subject Flash floods en
dc.subject Numerical weather prediction models en
dc.description.abstract This article is focused on numerical weather prediction models, which are publicly available on the Internet and their evaluation of the accuracy of predictions. The first part of the article deals with the basic principles of creating a weather forecast by numerical models, including an overview of selected numerical models. The various methods of evaluation of the accuracy of forecasts are described in the following part of the article; the results of which are shown in the last chapter. This article aims to bring major information on the numerical models with the greatest accuracy convective precipitation forecasts based on an analysis of 30 situations for the year 2014. These findings can be useful, especially for Crisis Management of the Zlin Region in extraordinary natural events (flash floods). © Springer International Publishing Switzerland 2015. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1005643
utb.identifier.obdid 43873374
utb.identifier.scopus 2-s2.0-84940918153
utb.identifier.wok 000371407800019
utb.source d-scopus
dc.date.accessioned 2015-10-02T15:10:13Z
dc.date.available 2015-10-02T15:10:13Z
utb.identifier.utb-sysno 85245
utb.contributor.internalauthor Šaur, David
utb.fulltext.affiliation David Šaur Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stranemi 4511 saur@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This article was supported by the Department of Security Engineering under internal grant IGA/FAI/2015/025 “Forecast system of convective precipitation” (sponsor and financial support acknowledgment goes here).
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