Browsing by Author "Ashraf Dewan"

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    Correcting bias of satellite rainfall data using physical empirical model
    (Elsevier, 2021) Ghaith Falah Ziarh; Shamsuddin Shahid; Tarmizi Bin Ismail; Md Asaduzzaman; Ashraf Dewan
    The provision of high resolution near real-time rainfall data has made satellite rainfall products very potential for monitoring hydrological hazards. However, a major challenge in their direct-use can be problematic due to measurement error. In this study, an attempt was made to correct the bias of Global Satellite Mapping of Precipitation near-real-time (GSMaP_NRT) product. Physical factors, including topography, season, windspeed and cloud types were accounted for correcting bias. Peninsular Malaysia was used as the case study area. Gridded rainfall, developed from 80 gauges for the period 2000-2018, was used along with physical factors in a two-stage procedure.
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    Evaluating intensity-duration-frequency (IDF) curves of satellite-based precipitation datasets in Peninsular Malaysia
    (Elsevier, 2021) Muhammad Noor; Tarmizi Ismail; Shamsuddin Shahida; Md Asaduzzaman; Ashraf Dewan
    In recent years the use of remotely sensed precipitation products in hydrological studies has become increasingly common. The capability of the products in producing rainfall intensity-duration-frequency (IDF) relationships, however, has not been examined in any great detail. The performance of four remote-sensing-based gridded rainfall data processing algorithms (GSMaP_NRT, GSMaP_GC, PERSIANN and TRMM_3B42V7) was evaluated to determine the ability to generate reliable IDF curves.