A high-resolution perspective of extreme rainfall and river flow under extreme climate change in Southeast Asia

水流 气候学 气候变化 降水 环境科学 大陆 流域 东南亚 地理 地质学 海洋学 气象学 古代史 地图学 历史 考古
作者
Mugni Hadi Hariadi,Gerard van der Schrier,Gert‐Jan Steeneveld,Samuel Jonson Sutanto,Edwin H. Sutanudjaja,Dian Nur Ratri,Ardhasena Sopaheluwakan,Albert Klein Tank
出处
期刊:Hydrology and Earth System Sciences [Copernicus Publications]
卷期号:28 (9): 1935-1956 被引量:3
标识
DOI:10.5194/hess-28-1935-2024
摘要

Abstract. This article provides high-resolution information on the projected changes in annual extreme rainfall and high- and low-streamflow events over Southeast Asia under extreme climate change. The analysis was performed using the bias-corrected result of the High-Resolution Model Intercomparison Project (HighResMIP) multi-model experiment for the period 1971–2050. Eleven rainfall indices were calculated, along with streamflow simulation using the PCR-GLOBWB hydrological model. The historical period 1981–2010 and the near-future period 2021–2050 were considered for this analysis. Results indicate that, over former mainland Southeast Asia, Myanmar will face more challenges in the near future. The east coast of Myanmar will experience more extreme high-rainfall conditions, while northern Myanmar will have longer dry spells. Over the Indonesian maritime continent, Sumatra and Java will suffer from an increase in dry-spell length of up to 40 %, while the increase in extreme high rainfall will occur over Borneo and mountainous areas in Papua. Based on the streamflow analysis, the impact of climate change is more prominent in a low-flow event than in a high-flow event. The majority of rivers in the central Mekong catchment, Sumatra, Peninsular Malaysia, Borneo, and Java will experience more extreme low-flow events. More extreme dry conditions in the near future are also seen from the increasing probability of future low-flow occurrences, which reaches 101 % and 90 %, on average, over Sumatra and Java, respectively. In addition, based on our results over Java and Sumatra, we found that the changes in extreme high- and low-streamflow events are more pronounced in rivers with steep hydrographs (rivers where flash floods are easily triggered), while rivers with flat hydrographs have a higher risk in terms of the probability of low-flow change.

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