Future hydro-meteorological drought of the Johor River Basin, Malaysia, based on CORDEX-SEA projections

References

• Abbaspour, K.C., et al., 2009. Assessing the impact of climate change on water resources in Iran. Water Resources Research, 45, 16. doi:10.1029/2008WR007615
   Web of Science ®Google Scholar
• AghaKouchak, A., 2014. A baseline probabilistic drought forecasting framework using standardized soil moisture index: application to the 2012 United States drought. Hydrology and Earth System Sciences, 18 (7), 2485–2492. doi:10.5194/hess-18-2485-2014
   Web of Science ®Google Scholar
• Aloysius, N.R., et al., 2016. Evaluation of historical and future simulations of precipitation and temperature in central Africa from CMIP5 climate models. Journal of Geophysical Research: Atmospheres, 121 (1), 130–152.
   Web of Science ®Google Scholar
• Arnold, J.G., et al., 2012. SWAT: model use, calibration, and validation. Transactions of the ASABE, 55 (4), 1491–1508. doi:10.13031/2013.42256
   Web of Science ®Google Scholar
• Arnold, J.G., et al., 1998. Large area hydrologic modeling and assessment - part 1: model development. Journal of the American Water Resources Association, 34 (1), 73–89. doi:10.1111/jawr.1998.34.issue-1
   Web of Science ®Google Scholar
• Bennett, K.E., Werner, A.T., and Schnorbus, M., 2012. Uncertainties in hydrologic and climate change impact analyses in headwater basins of British Columbia. Journal of Climate, 25 (17), 5711–5730. doi:10.1175/JCLI-D-11-00417.1
   Web of Science ®Google Scholar
• Boé, J., et al., 2007. Statistical and dynamical downscaling of the Seine basin climate for hydro-meteorological studies. International Journal of Climatology, 27 (12), 1643–1655. doi:10.1002/(ISSN)1097-0088
   Web of Science ®Google Scholar
• Bressiani, D.D., et al., 2015. Review of Soil and Water Assessment Tool (SWAT) applications in Brazil: challenges and prospects. International Journal of Agricultural and Biological Engineering, 8 (3), 9–35.
   Web of Science ®Google Scholar
• Chan, N.W., 1995. Flood disaster management in Malaysia: an evaluation of the effectiveness of government resettlement schemes. Journal Disaster Prevention and Management, 4 (4), 22–29. doi:10.1108/09653569510093405
   Google Scholar
• Chandler, R.E., 2013. Exploiting strength, discounting weakness: combining information from multiple climate simulators. Philosophical Transactions of the Royal Society a-Mathematical Physical and Engineering Sciences, 371 (1991), 19. doi:10.1098/rsta.2012.0388
   Web of Science ®Google Scholar
• Chuah, C.J., Ho, B.H., and Chow, W.T.L., 2018. Trans-boundary variations of urban drought vulnerability and its impact on water resource management in Singapore and Johor, Malaysia. Environmental Research Letters, 13 (7), 074011. doi:10.1088/1748-9326/aacad8
   Web of Science ®Google Scholar
• Dettinger, M.D., et al., 2004. Simulated hydrologic responses to climate variations and change in the Merced, Carson, and American River Basins, Sierra Nevada, California, 1900–2099. Climatic Change, 62 (1–3), 283–317. doi:10.1023/B:CLIM.0000013683.13346.4f
   Web of Science ®Google Scholar
• Esfahanian, E., et al., 2017. Development and evaluation of a comprehensive drought index. Journal of Environmental Management, 185, 31–43. doi:10.1016/j.jenvman.2016.10.050
   PubMed Web of Science ®Google Scholar
• Foughali, A., et al., 2015. Hydrological modeling in Northern Tunisia with regional climate model outputs: performance evaluation and bias-correction in present climate conditions. Climate, 3, 459–473. doi:10.3390/cli3030459
   Web of Science ®Google Scholar
• Fowler, H.J., Blenkinsop, S., and Tebaldi, C., 2007. Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling. International Journal of Climatology, 27 (12), 1547–1578. doi:10.1002/(ISSN)1097-0088
   Web of Science ®Google Scholar
• Gassman, P.W., et al., 2007. The soil and water assessment tool: historical development, applications, and future research directions. Transactions of the ASABE, 50 (4), 1211–1250. doi:10.13031/2013.23637
   Web of Science ®Google Scholar
• Hasan, Z.A., et al., 2012. Flow and sediment yield simulations for Bukit Merah reservoir catchment, Malaysia: a case study. Water Science and Technology : a Journal of the International Association on Water Pollution Research, 66 (10), 2170–2176. doi:10.2166/wst.2012.432
   PubMed Web of Science ®Google Scholar
• Hayes, M., et al., 2011. The Lincoln declaration on drought indices. Bulletin of the American Meteorological Society, 92 (4), 485–488. doi:10.1175/2010BAMS3103.1
   Web of Science ®Google Scholar
• Heberger, M., 2011. Australia’s Millennium drought: impacts and responses. In: P.H. Gleick, ed. The world’s water: the biennial report on freshwater resources. Washington, DC: Island Press/Center for Resource Economics, 97–125.
   Google Scholar
• Juneng, L., et al., 2016. Sensitivity of Southeast Asia rainfall simulations to cumulus and air-sea flux parameterizations in RegCM4. Climate Research, 69 (1), 59–77. doi:10.3354/cr01386
   Web of Science ®Google Scholar
• Kent, C., Chadwick, R., and Rowell, D.P., 2015. Understanding uncertainties in future projections of seasonal tropical precipitation. Journal of Climate, 28, 4390–4413. doi:10.1175/JCLI-D-14-00613.1
   Web of Science ®Google Scholar
• Kia, M.B., et al., 2012. An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia. Environmental Earth Sciences, 67 (1), 251–264. doi:10.1007/s12665-011-1504-z
   Web of Science ®Google Scholar
• Kiem, A.S., et al., 2016. Natural hazards in Australia: droughts. Climatic Change, 139 (1), 37–54. doi:10.1007/s10584-016-1798-7
   Web of Science ®Google Scholar
• Kog, Y.C., 2015. Transboundary urban water: the case of Singapore and Malaysia. In: Q. Grafton, et al., eds.. Understanding and managing urban water in transition. Global issues in water policy. Vol. 15. Dordrecht: Springer, 575–591.
   Google Scholar
• Lange, B., Holman, I., and Bloomfield, J.P., 2017. A framework for a joint hydro-meteorological-social analysis of drought. Science of the Total Environment, 578, 297–306. doi:10.1016/j.scitotenv.2016.10.145
   PubMed Web of Science ®Google Scholar
• Li, C. and Wang, R., 2016. Recent changes of precipitation in Gansu, Northwest China: an index-based analysis. Theoretical and Applied Climatology, 129 (1–2), 397–412. doi:10.1007/s00704-016-1783-0
   Web of Science ®Google Scholar
• Lobell, D.B., Bonfils, C., and Duffy, P.B., 2007. Climate change uncertainty for daily minimum and maximum temperatures: a model inter‐comparison. Geophysical Research Letters, 34, 5. doi:10.1029/2006GL028726
   Web of Science ®Google Scholar
• McKee, T.B., Doesken, N.J., and Kleist, J., The relationship of drought frequency and duration to time scales. In Proceedings of the 8th conference on applied climatology, 1993 Anaheim, California, 179–183.
   Google Scholar
• Memarian, H., et al., 2014. SWAT-based hydrological modelling of tropical land use scenarios. Hydrological Sciences Journal, 59 (10), 1808–1829. doi:10.1080/02626667.2014.892598
   Web of Science ®Google Scholar
• Meresa, H.K., Osuch, M., and Romanowicz, R., 2016. Hydro-meteorological drought projections into the 21–st century for selected polish catchments. Water, 8 (5), 206. doi:10.3390/w8050206
   Web of Science ®Google Scholar
• Modarres, R., 2007. Streamflow drought time series forecasting. Stochastic Environmental Research and Risk Assessment, 21 (3), 223–233. doi:10.1007/s00477-006-0058-1
   Web of Science ®Google Scholar
• Mohd, M.S.F., et al., 2015. Assessment of impacts of climate change on streamflow trend in upper Kuantan watershed. ARPN Journal of Engineering and Applied Sciences, 10 (15), 6634–6642.
   Google Scholar
• Moriasi, D.N., et al., 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50 (3), 885–900. doi:10.13031/2013.23153
   Web of Science ®Google Scholar
• Nakagawa, M., et al., 2000. Impact of severe drought associated with the 1997–1998 El Nino in a tropical forest in Sarawak. Journal of Tropical Ecology, 16, 355–367. doi:10.1017/S0266467400001450
   Web of Science ®Google Scholar
• Neitsch, S.L., et al., 2011. Soil and water assessment tool theoretical documentation version 2009. Texas: Texas Water Resources Institute.
   Google Scholar
• Ngai, S.T., Tangang, F., and Juneng, L., 2017. Bias correction of global and regional simulated daily precipitation and surface mean temperature over Southeast Asia using quantile mapping method. Global and Planetary Change, 149, 79–90. doi:10.1016/j.gloplacha.2016.12.009
   Web of Science ®Google Scholar
• Ngo-Duc, T., et al., 2016. Performance evaluation of RegCM4 in simulating extreme rainfall and temperature indices over the CORDEX-Southeast Asia region. International Journal of Climatology, 37 (3), 1634–1647. doi:10.1002/joc.4803
   Web of Science ®Google Scholar
• Piani, C., Haerter, J.O., and Coppola, E., 2010. Statistical bias correction for daily precipitation in regional climate models over Europe. Theoretical and Applied Climatology, 99 (1), 187–192. doi:10.1007/s00704-009-0134-9
   Web of Science ®Google Scholar
• Pushparajah, E. and Amin, L.L., 1977. Soils under hevea and their management in Peninsular Malaysia. Kuala Lumpur: Lai Than Fong Press.
   Google Scholar
• Rhee, J. and Cho, J., 2016. Future changes in drought characteristics: regional analysis for South Korea under CMIP5 projections. Journal of Hydrometeorology, 17 (1), 437–451. doi:10.1175/JHM-D-15-0027.1
   Web of Science ®Google Scholar
• Sakaguchi, A., et al., 2014. Development and evaluation of a paddy module for improving hydrological simulation in SWAT. Agricultural Water Management, 137, 116–122. doi:10.1016/j.agwat.2014.01.009
   Web of Science ®Google Scholar
• Sanusi, W., et al., 2015. The drought characteristics using the first-order homogeneous Markov chain of monthly rainfall data in Peninsular Malaysia. Water Resources Management, 29 (5), 1523–1539. doi:10.1007/s11269-014-0892-8
   Web of Science ®Google Scholar
• Schuol, J., et al., 2008. Estimation of freshwater availability in the West African sub-continent using the SWAT hydrologic model. Journal of Hydrology, 352 (1–2), 30–49. doi:10.1016/j.jhydrol.2007.12.025
   Web of Science ®Google Scholar
• Shen, M., et al., 2018. Estimating uncertainties and its temporal variation related to global climate models in quantifying climate change impacts on hydrology. Journal of Hydrology, 556, 10–24. doi:10.1016/j.jhydrol.2017.11.004
   Web of Science ®Google Scholar
• Strauch, M. and Volk, M., 2013. SWAT plant growth modification for improved modeling of perennial vegetation in the tropics. Ecological Modelling, 269, 98–112. doi:10.1016/j.ecolmodel.2013.08.013
   Web of Science ®Google Scholar
• Sun, Y., et al., 2014. Rapid increase in the risk of extreme summer heat in Eastern China. Nature Climate Change, 4 (12), 1082–1085. doi:10.1038/nclimate2410
   Web of Science ®Google Scholar
• Svoboda, M. and Fuchs, B., 2016. Handbook of drought indicators and indices. Integrated Drought Management Programme (IDMP), Integrated Drought Management Tools and Guidelines Series 2. Geneva: World Meteorological Organization (WMO) and Global Water Partnership (GWP). Available from: http://www.droughtmanagement.info/indices/
   Google Scholar
• Tan, M.L., et al., 2015b. Impacts of land-use and climate variability on hydrological components in the Johor River basin, Malaysia. Hydrological Sciences Journal, 60 (5), 873–889.
   Web of Science ®Google Scholar
• Tan, M.L., et al., 2018a. Spatiotemporal analysis of hydro-meteorological drought in the Johor River Basin, Malaysia. Theoretical and Applied Climatology. doi:10.1007/s00704-018-2409-5
   PubMed Web of Science ®Google Scholar
• Tan, M.L., et al., 2015a. Impacts of DEM resolution, source, and resampling technique on SWAT-simulated streamflow. Applied Geography, 63, 357–368. doi:10.1016/j.apgeog.2015.07.014
   Web of Science ®Google Scholar
• Tan, M.L., et al., 2014. Impacts and uncertainties of climate change on streamflow of the Johor River Basin, Malaysia using a CMIP5 general circulation model ensemble. Journal of Water and Climate Change, 5 (4), 676–695. doi:10.2166/wcc.2014.020
   Web of Science ®Google Scholar
• Tan, M.L., Gassman, P.W., and Cracknell, A.P., 2017a. Assessment of three long-term gridded climate products for hydro-climatic simulations in tropical river basins. Water, 9 (3), 229. doi:10.3390/w9030229
   Web of Science ®Google Scholar
• Tan, M.L., et al., 2017b. Changes in precipitation extremes over the Kelantan River Basin, Malaysia. International Journal of Climatology, 37 (10), 3780–3797. doi:10.1002/joc.4952
   Web of Science ®Google Scholar
• Tan, M.L., et al., 2017c. Climate change impacts under CMIP5 RCP scenarios on water resources of the Kelantan River Basin, Malaysia. Atmospheric Research, 189, 1–10. doi:10.1016/j.atmosres.2017.01.008
   Web of Science ®Google Scholar
• Tan, M.L., Ramli, H.P., and Tam, T.H., 2018b. Effect of DEM resolution, source, resampling technique and area threshold on SWAT outputs. Water Resources Management, 32 (14), 4591–4606. doi:10.1007/s11269-018-2072-8
   Web of Science ®Google Scholar
• Tan, M.L., et al., 2017d. Evaluation of TRMM product for monitoring drought in the Kelantan River Basin, Malaysia. Water, 9 (1), 57. doi:10.3390/w9010057
   Web of Science ®Google Scholar
• Tatsumi, K., Oizumi, T., and Yamashiki, Y., 2015. Effects of climate change on daily minimum and maximum temperatures and cloudiness in the Shikoku region: a statistical downscaling model approach. Theoretical and Applied Climatology, 120 (1), 87–98. doi:10.1007/s00704-014-1152-9
   Web of Science ®Google Scholar
• Tebaldi, C. and Knutti, R., 2007. The use of the multi-model ensemble in probabilistic climate projections. Philosophical Transactions of the Royal Society a-Mathematical Physical and Engineering Sciences, 365 (1857), 2053–2075. doi:10.1098/rsta.2007.2076
   PubMed Web of Science ®Google Scholar
• Telesca, L., et al., 2012. Investigation of scaling properties in monthly streamflow and Standardized Streamflow Index (SSI) time series in the Ebro basin (Spain). Physica A: Statistical Mechanics and Its Applications, 391 (4), 1662–1678. doi:10.1016/j.physa.2011.10.023
   Web of Science ®Google Scholar
• Todd, M.C., et al., 2011. Uncertainty in climate change impacts on basin-scale freshwater resources - preface to the special issue: the QUEST-GSI methodology and synthesis of results. Hydrology and Earth System Sciences, 15 (3), 1035–1046. doi:10.5194/hess-15-1035-2011
   Web of Science ®Google Scholar
• Trinh, T., et al., 2017. Assessment of 21st century drought conditions at Shasta Dam based on dynamically projected water supply conditions by a regional climate model coupled with a physically-based hydrology model. The Science of the Total Environment, 586, 197–205. doi:10.1016/j.scitotenv.2017.01.202
   PubMed Web of Science ®Google Scholar
• Venkataraman, K., et al., 2016. 21st century drought outlook for major climate divisions of Texas based on CMIP5 multimodel ensemble: implications for water resource management. Journal of Hydrology, 534, 300–316. doi:10.1016/j.jhydrol.2016.01.001
   Web of Science ®Google Scholar
• Vu, M.T., Raghavan, S.V., and Liong, S.-Y., 2016. Use of regional climate models for proxy data over transboundary regions. Journal of Hydrologic Engineering, 21 (6), 10. doi:10.1061/(ASCE)HE.1943-5584.0001342
   Web of Science ®Google Scholar
• Vu, M.T., et al., 2015. Investigating drought over the central highland, Vietnam, using regional climate models. Journal of Hydrology, 526, 265–273. doi:10.1016/j.jhydrol.2014.11.006
   Web of Science ®Google Scholar
• Wagner, P.D., et al., 2011. Hydrological modeling with SWAT in a monsoon-driven environment: experience from the western Ghats, India. Transactions of the ASABE, 54 (5), 1783–1790. doi:10.13031/2013.39846
   Web of Science ®Google Scholar
• Yusof, F., et al., 2013. Characterisation of drought properties with bivariate copula analysis. Water Resources Management, 27 (12), 4183–4207. doi:10.1007/s11269-013-0402-4
   Web of Science ®Google Scholar
• Zin, W.Z.W., Jemain, A.A., and Ibrahim, K., 2013. Analysis of drought condition and risk in Peninsular Malaysia using standardised precipitation index. Theoretical and Applied Climatology, 111 (3), 559–568. doi:10.1007/s00704-012-0682-2
   Web of Science ®Google Scholar