Hydrological extremes and responses to climate change in the Kelantan River Basin, Malaysia, based on the CMIP6 HighResMIP experiments

Tan, M. L., Liang, J., Samat, N., Chan, N. W., Haywood, J. M. and Hodges, K. ORCID: https://orcid.org/0000-0003-0894-229X (2021) Hydrological extremes and responses to climate change in the Kelantan River Basin, Malaysia, based on the CMIP6 HighResMIP experiments. Water, 13 (11). 1472. ISSN 2073-4441 doi: 10.3390/w13111472

Abstract/Summary

This study introduces a hydro-climatic extremes assessment framework that combines the latest climate simulations from the Coupled Model Intercomparison Project Phase 6 (CMIP6) HighResMIP with the Soil and Water Assessment (SWAT) model, and examines the influence of the different climate model resolutions. Sixty-six hydrological and environmental flow indicators from the Indicators of Hydrologic Alteration (IHA) were computed to assess future extreme flows in the Kelantan River Basin (KRB), Malaysia, which is particularly vulnerable to flooding. Results show that the annual precipitation, streamflow, maximum and minimum temperatures are projected to increase by 6.9%, 9.9%, 0.8 °C and 0.9 °C, respectively, by the 2021–2050 period relative to the 1985–2014 baseline. Monthly precipitation and streamflow are projected to increase especially for the Southwest Monsoon (June–September) and the early phase of the Northeast Monsoon (December) periods. The magnitudes of the 1-, 3-, 7-, 30- and 90-day minima flows are projected to increase by 7.2% to 8.2% and the maxima flows by 10.4% to 28.4%, respectively. Lastly, changes in future hydro-climatic extremes are frequently quite different between the high-resolution and low-resolution models, e.g., the high-resolution models projected an increase of 11.8% in mean monthly flow in November-December-January compared to 3.2% for the low-resolution models.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/97912
Item Type	Article
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > NCAS Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	MDPI
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