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Modification of input datasets for the Ensemble Streamflow Prediction based on large scale climatic indices and weather generator

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985874%3A_____%2F15%3A00445334" target="_blank" >RIV/67985874:_____/15:00445334 - isvavai.cz</a>

  • Alternative codes found

    RIV/00020699:_____/15:N0000015

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.jhydrol.2015.07.008" target="_blank" >http://dx.doi.org/10.1016/j.jhydrol.2015.07.008</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jhydrol.2015.07.008" target="_blank" >10.1016/j.jhydrol.2015.07.008</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modification of input datasets for the Ensemble Streamflow Prediction based on large scale climatic indices and weather generator

  • Original language description

    Ensemble Streamflow Prediction (ESP) provides an efficient tool for seasonal hydrological forecasts. In this study, we propose a new modification of input data series for the ESP system used for the runoff volume prediction with a lead of one month. These series are not represented by short historical weather datasets but by longer generated synthetic weather data series. Before their submission to the hydrological model, their number is restricted by relations among observed meteorological variables (average monthly precipitation and temperature) and large-scale climatic patterns and indices (e.g. North Atlantic Oscillation, sea level pressure values and two geopotential heights). This modification was tested over a four-year testing period using theriver basin in central Europe. The LARS-WG weather generator proved to be a suitable tool for the extension of the historical weather records. The modified ESP approach proved to be more efficient in the majority of months compared both t

  • Czech name

  • Czech description

Classification

  • Type

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

  • 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

    2015

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Hydrology

  • ISSN

    0022-1694

  • e-ISSN

  • Volume of the periodical

    528

  • Issue of the periodical within the volume

    September

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    14

  • Pages from-to

    720-733

  • UT code for WoS article

    000358968200059

  • EID of the result in the Scopus database

    2-s2.0-84937238991