Original title: Kernel density estimates used in stochastic precipitation generator
Authors: Hnilica, Jan ; Puš, V.
Document type: Papers
Conference/Event: Hydrologie malého povodí 2014, Praha (CZ), 2014-04-22 / 2014-04-24
Year: 2014
Language: eng
Abstract: 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.
Keywords: daily precipitation sum; kernel density estimate; stochastic generator
Host item entry: Hydrologie malého povodí 2014, ISBN 978-80-02-02525-2

Institution: Institute of Hydrodynamics AS ČR (web)
Document availability information: Fulltext is available on demand via the digital repository of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0233433

Permalink: http://www.nusl.cz/ntk/nusl-173288


The record appears in these collections:
Research > Institutes ASCR > Institute of Hydrodynamics
Conference materials > Papers