Browsing by Author "Fredolin T. Tangang"

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    Current Circulation Pattern in Waters Around Pulau Tinggi, Johor
    (Penerbit UKM) Fredolin T. Tangang; Liew Juneng; Mohd Syamil Mohd Yussof
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    Madden Julian oscillation modulation for surface ozone in Peninsular Malaysia
    (Elsevier, 2020) Mary Angelina Jud; Liew Juneng; Fredolin T. Tangang; Mohd Talib Latif; Jing Xiang Chung; Fatimah Ahamad
    This study investigates the modulation of Madden-Julian Oscillation (MJO) on surface ozone (O3) variability in Peninsular Malaysia. A 17-years (2000-2016) record of daily maximum surface ozone (O3Max) concentration from 24 air quality monitoring stations across Peninsular Malaysia were divided into six sub-regions namely R1, R2, R3, R4, R5 and R6. To investigate MJO modulation on O3Max, total cloud cover (TCC), surface air temperature (SAT) and surface wind from ERA Interim Reanalysis were also analyzed.
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    Seasonal circulations in the Malay Peninsula Eastern continental shelf from a wave-tide-circulation coupled model
    (Springer, 2011) Fredolin T. Tangang; Changsui Xia; Fangli Qiao; Liew Juneng; Feng Shan
    A wave-tide-circulation coupled model based on Princeton Ocean Model is established to study the seasonal circulation in the Malay Peninsula Eastern Continental Shelf region. The model successfully reconstructs the observed seasonal variation of the circulation in the region, as well as the main currents. The simulated tidal harmonic constants, sea surface temperature, and sea surface height anomaly agree with the observations well.
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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.
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    Spatio-temporal characteristics of PM10 concentration across Malaysia
    (Elsevier, 2009) Liew Juneng; Mohd Talib Latif; Fredolin T. Tangang; Haslina Mansor
    The recurrence of forest fires in Southeast Asia and associated biomass burning, has contributed markedly to the problem of trans-boundary haze and the long-range movement of pollutants in the region. Air pollutants, specifically particulate matter in the atmosphere, have received extensive attention, mainly because of their adverse effect on people's health. In this study, the spatial and temporal variability of the PM10 concentration across Malaysia was analyzed by means of the rotated principal component analysis.
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    Unjuran Perubahan Iklim Ekstrim Masa Depan di Malaysia
    (Penerbit UKM, 2013) Meng Sei Kwan; Fredolin T. Tangang; Liew Juneng
    Mitigating and adapting to the impacts of climate change at regional level require downscaled projection of future climate states. This paper examined the possible changes of future climate extremes over Malaysia based on the IPCC SRES A1B emission scenario. The projected changes at 17 stations were produced by bias correcting the UKMO PRECIS downscaling simulation output. The simulation expected higher probability of rainfall extreme occurrences over the west coast of Peninsular Malaysia during the autumn transitional monsoon period. In addition, possible early monsoon rainfall was projected for certain stations located over East Malaysia. The simulation also projected larger increase of warm temperature extremes but smaller decrease of cold extremes, suggesting asymmetric expansion of the temperature distribution. The impact of the elevated green house gases (GHG) is higher in the night time temperature extremes as compared to the day time temperature extremes. The larger increment of warm night frequencies as compared to the warm day suggests smaller diurnal temperature ranges under the influence of higher greenhouse gases. Stations located in East Malaysia were projected to experience the largest increase of warm night occurrence.