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Informing Stochastic Streamflow Generation by Large Scale Climate Indices at Single and Multiple Sites

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A91622" target="_blank" >RIV/60460709:41330/22:91622 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/abs/pii/S0309170821001913?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0309170821001913?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.advwatres.2021.104037" target="_blank" >10.1016/j.advwatres.2021.104037</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Informing Stochastic Streamflow Generation by Large Scale Climate Indices at Single and Multiple Sites

  • Original language description

    Despite the existence of several stochastic streamflow generators, not much attention has been given to representing the impacts of large scale climate indices on seasonal to interannual streamflow variability. By merging a formal predictor selection scheme with vine copulas, we propose a generic approach to explicitly incorporate large scale climate indices in ensemble streamflow generation at single and multiple sites and in both short term prediction and long term projection modes. The proposed framework is applied at three headwater streams in the Oldman River Basin in southern Alberta, Canada. The results demonstrate higher skills than existing models both in terms of representing intra and inter annual variability, as well as accuracy and predictability of streamflow, particularly during high flow seasons. The proposed algorithm presents a globally relevant scheme for the stochastic streamflow generation, where the impacts of large scale climate indices on streamflow variability across time and

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    ADVANCES IN WATER RESOURCES

  • ISSN

    0309-1708

  • e-ISSN

    1872-9657

  • Volume of the periodical

    2022

  • Issue of the periodical within the volume

    156

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    18

  • Pages from-to

    1-18

  • UT code for WoS article

    000700574900005

  • EID of the result in the Scopus database

    2-s2.0-85114922649