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Kernel density estimates used in stochastic precipitation generator

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985874%3A_____%2F14%3A00428004" target="_blank" >RIV/67985874:_____/14:00428004 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Kernel density estimates used in stochastic precipitation generator

  • Original language description

    The kernel density estimates were tested to be suitable to describe the probability distribution of daily precipitation sums. For this purpose, a stochastic precipitation generator using the kernel density estimates was constructed and it was compared with the LARS-WG generator. The data from meteorological stations from the Cidlina river basin were used to evaluate the performances of the generators. It was found that the kernel density estimates capture the probability density better than histograms used in LARS-WG.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    DA - Hydrology and limnology

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Hydrologie malého povodí 2014

  • ISBN

    978-80-02-02525-2

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    120-124

  • Publisher name

    Ústav pro hydrodynamiku

  • Place of publication

    Praha

  • Event location

    Praha

  • Event date

    Apr 22, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article