Title: Understanding spatiotemporal characteristics of meteorological drought from bias-adjusted CMIP6 models over Vietnam

Authors: Nguyen Tien Thanh

Addresses: Thuyloi University, 175 Tay Son, Dong Da, Hanoi, Vietnam

Abstract: The study presents deeply clarify the spatiotemporal variability of droughts for the past and climate conditions in near- and mid-future over Vietnam. The methods of bias correction and unequal weights are applied to CMIP6 models under climate change scenarios SSPs. The results depict an increase in drought events in southern Vietnam during 2040-2064, especially the frequency of drought could reach up about 90%. For near-future, there is an increase in the average drought duration, the average drought severity, relative frequency, moderate dry, severe dry and extreme dry as longer time scales from 6- to 12-month scales.

Keywords: drought; Vietnam; CMIP6; climate change; ensemble.

DOI: 10.1504/IJGW.2024.142858

International Journal of Global Warming, 2024 Vol.34 No.4, pp.369 - 383

Received: 26 Jul 2024
Accepted: 11 Oct 2024
Published online: 28 Nov 2024 *

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