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The Use of Radar Data Mining for Forecasting of Convective Precipitation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43874391" target="_blank" >RIV/70883521:28140/16:43874391 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Use of Radar Data Mining for Forecasting of Convective Precipitation

  • Original language description

    This article is focused on the use of radar data mining for the prediction of convective precipitation on the the Zl?n Region. The first chapter describes the principle of radar precipitation measurements implemented through a network CZRAD. The next chapter describes the program on mining radar data from the network CZRAD, including schematics software algorithm and its use for processing statistics of historical weather events. Subsequently, an example of selected meteorological situation is shown in terms of practical use of software tool intended for radar data mining. The last chapter presented a proposal of a prediction system of convective precipitation, the outputs of which are validated with real measured data. The aim of this chapter was to demonstrate the effectiveness of the use of radar data mining on the selected weather situation for forecast of the locations of convective precipitation in the Zlin region.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    DG - Atmospheric sciences, meteorology

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal of Energy and Environment

  • ISSN

    2308-1007

  • e-ISSN

  • Volume of the periodical

    10, 2016

  • Issue of the periodical within the volume

    neuveden

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

    124-131

  • UT code for WoS article

  • EID of the result in the Scopus database