Parallel to the development of computing science, the understanding of the climate system behaviours and the climate model accuracy and resolution have been considerable improved. It, however, has still not been sufficient for the request of hydrologic modeling at a local scale, especially when focusing on the impacts of climate change. Therefore, it is necessary to carry out a study for a small basin like the Thi Vai basin (approximately 500 km2) in southern Vietnam to provide further information on local changes in climate and to quantify its impacts on hydrological characteristics for present and future periods. Within this study, the technology of statistical downscaling is improved and directly coupled with the outputs of a regional climate model, which contains dynamical downscaling techniques. The regional climate model is implemented with the three self-nesting steps to transfer the information of global climate models into local climate information. The techniques of Model Output Statistics and Two-Step Model are applied and developed to correct the daily temperature and precipitation at the finest resolution of 10 x 10 km, respectively. To quantify the possible impacts of climate change on hydrological characteristics, the water balance model PANTA RHEI is driven by the model output of the dynamic-statistical downscaling. A strategy for future analyses of the reverse effects of changes in the water balance on the outputs of downscaling models is also provided. The main results indicate that: (i) the dynamical climate model overestimates both total precipitation and wet day frequency, although both precipitation and temperature is simulated quite well on the highest horizontal grid resolution that can be reached using a hydrostatic climate model, (ii) the combination of statistical and dynamical downscaling is an effective approach for daily precipitation and temperature series analysis, (iii) a clear climate change signal for temperature and precipitation is found for the Thi Vai basin, (iv) the ...


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    Titel :

    Improved downscaling of meteorological data for hydrological modelling in the tropics under climate change ; Verbessertes Downscaling meteorologischer Daten für die hydrologische Modellierung in den Tropen unter den Bedingungen des klimatischen Wandels


    Beteiligte:

    Erscheinungsdatum :

    2016-05-31



    Medientyp :

    Hochschulschrift


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    6 / 62 / 627 / 690