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Evaluation of the Accuracy of Numerical Weather Prediction Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F15%3A43872954" target="_blank" >RIV/70883521:28140/15:43872954 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-18476-0_19" target="_blank" >http://dx.doi.org/10.1007/978-3-319-18476-0_19</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-18476-0_19" target="_blank" >10.1007/978-3-319-18476-0_19</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation of the Accuracy of Numerical Weather Prediction Models

  • Original language description

    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 forecastby 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 articleaims 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).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Artificial Intelligence Perspectives and Applications

  • ISBN

    978-3-319-18475-3

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    181-193

  • Publisher name

    Springer-Verlag Berlin

  • Place of publication

    Heidelberg

  • Event location

    on-line

  • Event date

    Apr 27, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article