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    Downscaling approach to develop future sub-daily IDF relations for Canberra Airport Region, Australia

    239066_239066.pdf (521.4Kb)
    Access Status
    Open access
    Authors
    Herath, Herath Mudiyanselage
    Sarukkalige, P.
    Nguyen, V.
    Date
    2015
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Herath, H.M. and Sarukkalige, P. and Nguyen, V. 2015. Downscaling approach to develop future sub-daily IDF relations for Canberra Airport Region, Australia. Proceedings of the International Association of Hydrological Sciences. 369: pp. 147-155.
    Source Title
    IAHS-AISH Proceedings and Reports
    Source Conference
    26th General Assembly of the International Union of Geodesy and Geophysics
    DOI
    10.5194/piahs-369-147-2015
    ISBN
    978-1-5108-0898-0
    School
    Department of Civil Engineering
    Remarks

    This open access article is distributed under the Creative Commons license http://creativecommons.org/licenses/by/3.0/

    URI
    http://hdl.handle.net/20.500.11937/32378
    Collection
    • Curtin Research Publications
    Abstract

    Downscaling of climate projections is the most adopted method to assess the impacts of climate change at regional and local scale. In the last decade, downscaling techniques which provide reasonable improvement to resolution of General Circulation Models' (GCMs) output are developed in notable manner. Most of these techniques are limited to spatial downscaling of GCMs' output and still there is a high demand to develop temporal downscaling approaches. As the main objective of this study, combined approach of spatial and temporal downscaling is developed to improve the resolution of rainfall predicted by GCMs. Canberra airport region is subjected to this study and the applicability of proposed downscaling approach is evaluated for Sydney, Melbourne, Brisbane, Adelaide, Perth and Darwin regions. Statistical Downscaling Model (SDSM) is used to spatial downscaling and numerical model based on scaling invariant concept is used to temporal downscaling of rainfalls. National Centre of Environmental Prediction (NCEP) data is used in SDSM model calibration and validation. Regression based bias correction function is used to improve the accuracy of downscaled annual maximum rainfalls using HadCM3-A2. By analysing the non-central moments of observed rainfalls, single time regime (from 30 min to 24 h) is identified which exist scaling behaviour and it is used to estimate the sub daily extreme rainfall depths from daily downscaled rainfalls. Finally, as the major output of this study, Intensity Duration Frequency (IDF) relations are developed for the future periods of 2020s, 2050s and 2080s in the context of climate change.

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