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Forecasting of daily and nightly convective precipitation

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dc.title Forecasting of daily and nightly convective precipitation en
dc.contributor.author Šaur, David
dc.relation.ispartof ICMT 2019 - 7th International Conference on Military Technologies, Proceedings
dc.identifier.isbn 9781728145938
dc.date.issued 2019
dc.event.title 7th International Conference on Military Technologies, ICMT 2019
dc.event.location Salerno
utb.event.state-en Italy
utb.event.state-cs Itálie
dc.event.sdate 2019-05-30
dc.event.edate 2019-05-31
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.1109/MILTECHS.2019.8870091
dc.relation.uri https://ieeexplore.ieee.org/document/8870091
dc.subject Atmospheric convection en
dc.subject Early warning en
dc.subject Nowcasting methods en
dc.subject Numericalweatherpreditionmodels en
dc.subject Radar precipitation measurement en
dc.subject Severe storms en
dc.description.abstract This article focuses on the description and comparison of the success rate of methods for prediction of convective precipitation occurring in the daily or nightly hours on the territory of the Zlin Region for the years 2015 to 2017. The first part analyzes a methodology of a new prediction tool - Algorithm of Storm Prediction which has been developed by the author of this article. This tool provides forecast information on convective precipitation and dangerous convective phenomena with sufficient time in advance for the municipality with extended powers and regions in the Czech Republic. Other tools are given numerical weather prediction models, nowcasting methods of C Z R A D networks and mobile meteorological radar MMR50 of the Zlin Region. © 2019 IEEE. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1009437
utb.identifier.obdid 43880019
utb.identifier.scopus 2-s2.0-85074454268
utb.source d-scopus
dc.date.accessioned 2019-11-20T10:30:42Z
dc.date.available 2019-11-20T10:30:42Z
utb.ou CEBIA-Tech
utb.contributor.internalauthor Šaur, David
utb.fulltext.sponsorship work was supported by the project CEBIA-Tech LO1303, A2.4 – ICT for support of crisis management
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, T.G.Masaryka 5555, Zlin, Czech Republic
utb.fulltext.projects LO1303
utb.fulltext.projects A2.4
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