Browsing by Author "Mou Leong Tan"

Now showing 1 - 8 of 8
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    Analisis Hubungan antara Perubahan Iklim dan Perubahan Guna Tanah menggunakan Peta Guna Tanah ESA CCI dalam Lembangan Sungai Kelantan, Malaysia
    (Penerbit UKM, 2022) Yi Lin Tew; Mou Leong Tan; Kwok Pan Chun; Narimah Samat; Mohd Amirul Mahamud
    Climate and land use land cover (LULC) are two major key drives that affect the hydrological cycle pattern within a river basin. This study aims to evaluate the capability of the European Space Agency Climate Change Initiative land cover (ESA CCI LC) product in representing land use pattern in Sungai Kelantan Basin (KRB), Malaysia; to analyze the changes of rainfall, maximum and minimum temperatures of the KRB from 1979 to 2018; and to assess the relationships between climate and land use changes within KRB.
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    Between the devil and the deep blue sea: Trends, drivers and impacts of coastal reclamation in Malaysia and way forward
    (Elsevier, 2023) Su Yin Chee; Mou Leong Tan; Yi Lin Tew; Yee Kwang Sim; Jean Chai Yee; Amanda Kar Mun Chong
    Cities all over the world are edging further into the ocean. Coastal reclamation is a global conservation issue with implications for ocean life, ecosystems, and human well-being. Using Malaysia as a case study, the coastal reclamation trends over three decades (1991-2021) were mapped using Landsat images and Normalized Difference Water Index (NDWI) via the Google Earth Engine platform. The changes in drivers and impacts of these coastal expansions throughout the decades were also reviewed. Twelve out of the 14 states in Malaysia had planned, active, or completed reclamations on their shorelines. Between 1991 and 2021, an absolute area of 82.64 km2 has been or will be reclaimed should all the projects be completed. Efforts to protect existing natural coastal and marine ecosystems, restore degraded ones, and fund endeavours that emphasize nature is needed to support sustainable development goals for the benefit of future generations.
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    Climate change impacts under CMIP5 RCP scenarios on water resources of the Kelantan River Basin, Malaysia
    (Elsevier, 2017) Mou Leong Tan; Ab Latif Ibrahim; Zulkifli Yusop; Vivien P. Chua; Ngai Weng Chan
    This study aims to evaluate the potential impacts of climate change on water resources of the Kelantan River Basin in north-eastern Peninsular Malaysia using the Soil and Water Assessment Tool (SWAT) model. Thirty-six downscaled climate projections from five General Circulation Models (GCMs) under the three Representative Concentration Pathways (RCPs) 2.6, 4.5 and 8.5 scenarios for the periods of 2015-2044 and 2045-2074 were incorporated into the calibrated SWAT model. Differences of these scenarios were calculated by comparing to the 1975-2004 baseline period
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    Comparison of GPM IMERG, TMPA 3B42 and PERSIANN-CDR satellite precipitation products over Malaysia
    (Elsevier, 2018) Mou Leong Tan; Harrif Santo
    The launch of the Global Precipitation Measurement (GPM) mission has prompted the assessment of the newly released satellite precipitation products (SPPs) in different parts of the world. This study performed an initial comparison of three GPM IMERG products (IMERG_E, IMERG_L and IMERG_F) with its predecessor, the TMPA 3B42 and 3B42RT products, and a long-term PERSIANN-CDR product over Malaysia. The performance of six SPPs was evaluated using 501 precipitation gauges from 12 March 2014 to 29 February 2016.
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    Future projections of Malaysia daily precipitation characteristics using bias correction technique
    (Elsevier, 2020) Sheau Tieh Ngai; Liew Junenga; Fredolin Tangang; Jing Xiang Chunga; Ester Salimuna; Mou Leong Tan; Siti Amalia
    The quantile mapping (QM) bias correction algorithm was applied to bias-correcting the daily rainfall over the Malaysia based on the APHRODITE gridded observed dataset. The quality of the bias correction in reducing the biases of regional climate models in frequency (FREQ), mean intensity (SDII) and 90th percentile (Q90) of the daily rainfall was assessed.
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    Monsoonal precipitation over Peninsular Malaysia in the CMIP6 HighResMIP experiments: the role of model resolution
    (Springer, 2021) Ju Liang; Mou Leong Tan; Matthew Hawcroft; Jennifer L. Catto; Kevin I. Hodges; James M. Haywood
    This study investigates the ability of 20 model simulations which contributed to the CMIP6 HighResMIP to simulate precipitation in different monsoon seasons and extreme precipitation events over Peninsular Malaysia. The model experiments utilize common forcing but are run with different horizontal and vertical resolutions. The impact of resolution on the model's abilities to simulate precipitation and associated environmental fields is assessed by comparing multi-model ensembles at different resolutions with three observed precipitation datasets and four climate reanalyses.
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    Projected near-term changes in monsoon precipitation over Peninsular Malaysia in the HighResMIP multi-model ensembles
    (Springer, 2022) Ju Liang; Mou Leong Tan; Jennifer L. Catto; Matthew K. Hawcroft; Kevin I. Hodges; James M. Haywood
    Changes in the monsoon season rainfall over Peninsular Malaysia by the mid-21st century are examined using multi-model ensemble data from the CMIP6 HighResMIP experiments. We examine simulations of the present and future climate simulations run under a high emission scenario of greenhouse gases from the Shared Socioeconomic Pathways (SSP5-8.5). The combined effects of horizontal and vertical resolutions on the projected changes in monsoon rainfall and associated environmental fields are investigated by comparing the ensemble mean of the projected changes utilizing appropriate multi-model groupings.
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    SouthEast Asia HydrO-meteorological droughT (SEA-HOT) framework: A case study in the Kelantan River Basin, Malaysia
    (Elsevier, 2020) Mou Leong Tan; Liew Juneng; Fredolin T. Tangang; Narimah Samat; Ngai Weng Chan; Zulkifli Yusop; Sheau Tieh Ngai
    A holistic framework was introduced to project the potential hydro-meteorological droughts of the Kelantan River basin, Malaysia. The framework integrates the multi-model high-resolution climate projections of the Coordinated Regional Climate Downscaling Experiment – Southeast Asia (CORDEX-SEA) and the widely applied Soil and Water Assessment Tool (SWAT) model. The quantile mapping approach was used to reduce the biases in the CORDEX-SEA projections before applying into SWAT. The SWAT-simulated standardized streamflow index (SSI) was validated with observed data to check the capability of SWAT in drought estimation.