Climate change impacts under CMIP5 RCP scenarios on water resources of the Kelantan River Basin, Malaysia

Tan, Mou Leong; Ibrahim, Ab Latif; Yusop, Zulkifli; Chua, Vivien P.; Chan, Ngai Weng

doi:10.1016/j.atmosres.2017.01.008

Cited by 165 publications

(90 citation statements)

References 40 publications

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“…The RCP scenario that are usually utilized are RCP 2.6, RCP 4.5, and RCP 8.5 [24][25][26][27]. Each RCP Figure 1.…”

Section: Datamentioning

confidence: 99%

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Spatiotemporal Variability in Extreme Precipitation in China from Observations and Projections

Peng

Zhao

et al. 2018

Water

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Extreme precipitation events, which have intensified with global warming over the past several decades, will become more intense in the future according to model projections. Although many studies have been performed, the occurrence patterns for extreme precipitation events in past and future periods in China remain unresolved. Additionally, few studies have explained how extreme precipitation events developed over the past 58 years and how they will evolve in the next 90 years as global warming becomes much more serious. In this paper, we evaluated the spatiotemporal characteristics of extreme precipitation events using indices for the frequency, quantity, intensity, and proportion of extreme precipitation, which were proposed by the World Meteorological Organization. We simultaneously analyzed the spatiotemporal characteristics of extreme precipitation in China from 2011 to 2100 using data obtained from the Coupled Model Intercomparison Project Phase 5 (CMIP5) models. Despite the fixed threshold, 95th percentile precipitation values were also used as the extreme precipitation threshold to reduce the influence of various rainfall events caused by different geographic locations; then, eight extreme precipitation indices (EPIs) were calculated to evaluate extreme precipitation in China. We found that the spatial characteristics of the eight EPIs exhibited downward trends from south to north. In the periods 1960-2017 and 2011-2100, trends in the EPIs were positive, but there were differences between different regions. In the past 58 years, the extreme precipitation increased in the northwest, southeast, and the Tibet Plateau of China, while decreased in northern China. Almost all the trends of EPIs are positive in the next two periods (2011-2055 and 2056-2100) except for some EPIs, such as intensity of extreme precipitation, which decrease in southeastern China in the second period . This study suggests that the frequency of extreme precipitation events in China will progressively increase, which implies that a substantial burden will be placed on social economies and terrestrial ecological processes.

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“…The RCP scenario that are usually utilized are RCP 2.6, RCP 4.5, and RCP 8.5 [24][25][26][27]. Each RCP Figure 1.…”

Section: Datamentioning

confidence: 99%

“…The RCP scenario that are usually utilized are RCP 2.6, RCP 4.5, and RCP 8.5 [24][25][26][27]. Each RCP scenario makes a different assumption for greenhouse gas concentrations and other factors that affect the Earth's climate system [28].…”

Section: Datamentioning

confidence: 99%

Spatiotemporal Variability in Extreme Precipitation in China from Observations and Projections

Peng

Zhao

et al. 2018

Water

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“…Table 4 lists the best fitted calibration parameters for KRB and JRB. The calibration and validation of the SWAT model were conducted based on local knowledge and a literature review of the SWAT model in tropical regions (e.g., [54,55,73,74]). As can be seen in Table 4, the CN2 values were increased by 1% and 13% for the KRB and JRB, respectively.…”

Section: Temperature Validationmentioning

confidence: 99%

Assessment of Three Long-Term Gridded Climate Products for Hydro-Climatic Simulations in Tropical River Basins

Tan

Gassman

Cracknell

2017

Water

Self Cite

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Gridded climate products (GCPs) provide a potential source for representing weather in remote, poor quality or short-term observation regions. The accuracy of three long-term GCPs (Asian Precipitation-Highly-Resolved Observational Data Integration towards Evaluation of Water Resources: APHRODITE, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network-Climate Data Record: PERSIANN-CDR and National Centers for Environmental Prediction Climate Forecast System Reanalysis: NCEP-CFSR) was analyzed for the Kelantan River Basin (KRB) and Johor River Basin (JRB) in Malaysia from 1983 to 2007. Then, these GCPs were used as inputs into calibrated Soil and Water Assessment Tool (SWAT) models, to assess their capability in simulating streamflow. The results show that the APHRODITE data performed the best in precipitation estimation, followed by the PERSIANN-CDR and NCEP-CFSR datasets. The NCEP-CFSR daily maximum temperature data exhibited a better correlation than the minimum temperature data. For streamflow simulations, the APHRODITE data resulted in strong results for both basins, while the NCEP-CFSR data showed unsatisfactory performance. In contrast, the PERSIANN-CDR data showed acceptable representation of observed streamflow in the KRB, but failed to track the JRB observed streamflow. The combination of the APHRODITE precipitation and NCEP-CFSR temperature data resulted in accurate streamflow simulations. The APHRODITE and PERSIANN-CDR data often underestimated the extreme precipitation and streamflow, while the NCEP-CFSR data produced dramatic overestimations. Therefore, a direct application of NCEP-CFSR data should be avoided in this region. We recommend the use of APHRODITE precipitation and NCEP-CFSR temperature data in modeling of Malaysian water resources.

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“…The selected case study experiences a tropical environment characteristic with high humidity and uniform temperature almost all along the year. The streams of the catchment influenced highly by the monsoon rainfall starting November to March with total annual rainfall records range between 2100 to 2250 mm per year (Tan, Ibrahim, Yusop, Chua, & Chan, 2017). The drainage area of Linggi River is 1320 km 2 .…”

Section: Data Descriptionmentioning

confidence: 99%

Hybrid Data Intelligent Models and Applications for Water Level Prediction

Yaseen

Deo

Ebtehaj

et al. 2018

Advances in Computational Intelligence and Robotics

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Climate change impacts under CMIP5 RCP scenarios on water resources of the Kelantan River Basin, Malaysia

Cited by 165 publications

References 40 publications

Spatiotemporal Variability in Extreme Precipitation in China from Observations and Projections

Spatiotemporal Variability in Extreme Precipitation in China from Observations and Projections

Assessment of Three Long-Term Gridded Climate Products for Hydro-Climatic Simulations in Tropical River Basins

Hybrid Data Intelligent Models and Applications for Water Level Prediction

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