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Comparison of accuracy of forecasting methods of convective precipitation

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dc.title Comparison of accuracy of forecasting methods of convective precipitation en
dc.contributor.author Šaur, David
dc.contributor.author Pavlík, Lukáš
dc.relation.ispartof MATEC Web of Conferences
dc.identifier.issn 2261-236X OCLC, Ulrich, Sherpa/RoMEO, JCR
dc.date.issued 2018
utb.relation.volume 210
dc.event.title 22nd International Conference on Circuits, Systems, Communications and Computers, CSCC 2018
dc.event.location Majorca
utb.event.state-en Spain
utb.event.state-cs Španělsko
dc.event.sdate 2018-07-14
dc.event.edate 2018-07-17
dc.type conferenceObject
dc.language.iso en
dc.publisher EDP Sciences
dc.identifier.doi 10.1051/matecconf/201821004035
dc.description.abstract This article is focused on the comparison of the accuracy of quantitative, numerical, statistical and nowcasting forecasting methods of convective precipitation including three flood events that occurred in the Zlin region in the years 2015-2017. Quantitative prediction is applied to the Algorithm of Storm Prediction for outputs "The probability of convective precipitation and The statistical forecast of convective precipitation". The quantitative prediction of the probability of convective precipitation is primarily compared with the precipitation forecasts calculated by publicly available NWP models; secondary to statistical and nowcasting predictions. The statistical prediction is computed on the historical selection criteria and is intended as a complementary prediction to the first algorithm output. The nowcasting prediction operates with radar precipitation measurements, specifically with X-band meteorological radar outputs of the Zlín Region. Compared forecasting methods are used for the purposes of verification and configuration prediction parameters for accuracy increase of algorithm outputs. © 2018 The Authors, published by EDP Sciences. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008337
utb.identifier.scopus 2-s2.0-85055517094
utb.source d-scopus
dc.date.accessioned 2019-01-03T12:31:46Z
dc.date.available 2019-01-03T12:31:46Z
utb.contributor.internalauthor Šaur, David
utb.contributor.internalauthor Pavlík, Lukáš
utb.scopus.affiliation Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stráněmi 4511, Zlin, Czech Republic; Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stráněmi 4511, Zlin, Czech Republic
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