高分辨率透视东南亚极端气候变化下的极端降雨量和河流流量

Mugni Hadi Hariadi, G. van der Schrier, G. Steeneveld, Samuel J. Sutanto, E. Sutanudjaja, D. Ratri, A. Sopaheluwakan, A. Klein Tank
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引用次数: 2

摘要

摘要本文提供了在极端气候变化下东南亚地区年极端降雨量和高低溪流事件预测变化的高分辨率信息。分析采用了 1971-2050 年期间高分辨率模式相互比较项目(HighResMIP)多模式实验的偏差校正结果。计算了 11 个降雨指数,并使用 PCR-GLOBWB 水文模型模拟了河水流量。本次分析考虑了 1981-2010 年的历史时期和 2021-2050 年的近未来时期。结果表明,与前东南亚大陆相比,缅甸在不久的将来将面临更多挑战。缅甸东海岸将出现更多极端的高降雨量情况,而缅甸北部将出现更长的干旱期。在印度尼西亚海洋大陆,苏门答腊岛和爪哇岛的干旱期将延长 40%,而婆罗洲和巴布亚山区的极端高降雨量将增加。根据流量分析,气候变化对低流量事件的影响比对高流量事件的影响更为显著。湄公河集水区中部、苏门答腊岛、马来西亚半岛、婆罗洲和爪哇岛的大部分河流将经历更极端的低流量事件。苏门答腊岛和爪哇岛未来发生低流量事件的概率不断增加,平均分别达到 101% 和 90%,这也表明近期内将出现更多极端干旱情况。此外,根据我们在爪哇岛和苏门答腊岛的研究结果,我们发现在水文图陡峭的河流(容易引发山洪的河流)中,极端高、低流量事件的变化更为明显,而水文图平坦的河流在低流量变化概率方面的风险更高。
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A high-resolution perspective of extreme rainfall and river flow under extreme climate change in Southeast Asia
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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