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

被引:2
|
作者
Hariadi, Mugni Hadi [1 ,2 ,3 ]
van der Schrier, Gerard [1 ]
Steeneveld, Gert-Jan [2 ]
Sutanto, Samuel J. [4 ]
Sutanudjaja, Edwin [5 ]
Ratri, Dian Nur [3 ]
Sopaheluwakan, Ardhasena [3 ]
Tank, Albert Klein [5 ]
机构
[1] Royal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands
[2] Wageningen Univ & Res WUR, Meteorol & Air Qual, Wageningen, Netherlands
[3] Indonesian Agcy Meteorol Climatol & Geophys BMKG, Jakarta, Indonesia
[4] Wageningen Univ & Res WUR, Earth Syst & Global Change, Wageningen, Netherlands
[5] Univ Utrecht, Delta Climate Ctr, Utrecht, Netherlands
关键词
BIAS CORRECTION; SEASONAL PREDICTABILITY; PRECIPITATION DATASET; HYDROLOGICAL DROUGHT; DATA ASSIMILATION; MODEL; TEMPERATURE; STREAMFLOW; PERFORMANCE; SIMULATIONS;
D O I
10.5194/hess-28-1935-2024
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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.
引用
收藏
页码:1935 / 1956
页数:22
相关论文
共 50 条
  • [1] Monsoonal Extreme Rainfall in Southeast Asia: A Review
    Chen, Yixiao
    Teo, Fang Yenn
    Wong, Soon Yee
    Chan, Andy
    Weng, Chunying
    Falconer, Roger A.
    WATER, 2025, 17 (01)
  • [2] High Resolution Climate Change Information for the Lower Mekong River Basin of Southeast Asia
    Laux, Patrick
    Van Tan Phan
    Tran Thuc
    Kunstmann, Harald
    HIGH PERFORMANCE COMPUTING IN SCIENCE AND ENGINEERING'13: TRANSACTIONS OF THE HIGH PERFORMANCE COMPUTING CENTER, STUTTGART (HLRS) 2013, 2013, : 543 - 551
  • [3] Extreme Low Flow Estimation under Climate Change
    Parey, Sylvie
    Gailhard, Joel
    ATMOSPHERE, 2022, 13 (02)
  • [4] Extreme Bed Changes in the Gaoping River Under Climate Change
    Chao, Yi-Chiung
    Li, Hsin-Chi
    Liou, Jun-Jih
    Chen, Yung-Ming
    TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES, 2016, 27 (05): : 717 - 727
  • [5] Significant climate change of extreme rainfall in Denmark
    Arnbjerg-Nielsen, K.
    WATER SCIENCE AND TECHNOLOGY, 2006, 54 (6-7) : 1 - 8
  • [6] Analysis of Extreme Rainfall Characteristics in 2022 and Projection of Extreme Rainfall Based on Climate Change Scenarios
    Sung, Jang Hyun
    Kang, Dong Ho
    Seo, Young-Ho
    Kim, Byung Sik
    WATER, 2023, 15 (22)
  • [7] Uncertainties in SWAT extreme flow simulation under climate change
    Zhang, Xujie
    Xu, Yue-Ping
    Fu, Guangtao
    JOURNAL OF HYDROLOGY, 2014, 515 : 205 - 222
  • [8] Uncertainties in SWAT extreme flow simulation under climate change
    Xu, Y.-P. (yuepingxu@zju.edu.cn), 1600, Elsevier B.V., Netherlands (515):
  • [9] EFFECTS OF CLIMATE CHANGE ON EXTREME FLOW IN ROMANIAN RIVER BASIN BARLAD
    Mic, Rodica-Paula
    Corbus, Ciprian
    Matreata, Marius
    WATER, RESOURCES, FOREST, MARINE AND OCEAN ECOSYSTEMS CONFERENCE PROCEEDINGS, VOL I, 2016, : 273 - 280
  • [10] Uncertainties in SWAT extreme flow simulation under climate change
    Xu, Yue-Ping (yuepingxu@zju.edu.cn), 1600, Elsevier B.V., Netherlands (515):