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    A spatial temporal downscaling approach to development of IDF relations for Perth airport region in the context of climate change

    Access Status
    Fulltext not available
    Authors
    Herath, S.
    Sarukkalige, Priyantha Ranjan
    Nguyen, V.
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Herath, S. and Sarukkalige, P.R. and Nguyen, V. 2016. A spatial temporal downscaling approach to development of IDF relations for Perth airport region in the context of climate change. Hydrological Sciences Journal. 61 (11): pp. 2061-2070.
    Source Title
    Hydrological Sciences Journal
    DOI
    10.1080/02626667.2015.1083103
    ISSN
    0262-6667
    School
    Department of Civil Engineering
    URI
    http://hdl.handle.net/20.500.11937/51000
    Collection
    • Curtin Research Publications
    Abstract

    © 2016 IAHS.Downscaling of climate projections is the most adapted method to assess the impacts of climate change at regional and local scales. This study utilized both spatial and temporal downscaling approaches to develop intensity–duration–frequency (IDF) relations for sub-daily rainfall extremes in the Perth airport area. A multiple regression-based statistical downscaling model tool was used for spatial downscaling of daily rainfall using general circulation models (GCMs) (Hadley Centre’s GCM and Canadian Global Climate Model) climate variables. A simple scaling regime was identified for 30 minutes to 24 hours duration of observed annual maximum (AM) rainfall. Then, statistical properties of sub-daily AM rainfall were estimated by scaling an invariant model based on the generalized extreme value distribution. RMSE, Nash-Sutcliffe efficiency coefficient and percentage bias values were estimated to check the accuracy of downscaled sub-daily rainfall. This proved the capability of the proposed approach in developing a linkage between large-scale GCM daily variables and extreme sub-daily rainfall events at a given location. Finally IDF curves were developed for future periods, which show similar extreme rainfall decreasing trends for the 2020s, 2050s and 2080s for both GCMs. Editor M.C. Acreman; Associate editor S. Kanae

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