Global flood risk projection under climate change and shared socioeconomic pathways

Abstract Climate change and socioeconomic development jointly amplify global flood threats, yet integrated projections remain limited. Here we developed a stacking ensemble framework combining the Coupled Model Intercomparison Project Phase 6 (CMIP6) multi-model precipitation data with population, economic, and land-use trends under Shared Socioeconomic Pathways (SSPs). This framework is to project global flood risk under climate change. Our results reveal a persistent increase in flood risk index (FRI) throughout the 21st century, with the highest emission scenario (SSP5-8.5) driving a 18.8% rise by 2081–2100 compared to the baseline period (1995-2014). Notably, under the low-emission SSP1-2.6, FRI already increases by 13.1% in the near future (2021–2040)—approximately 70% of the SSP5-8.5 endpoint increase—indicating substantial near-term risk commitment from historical emissions. High-risk areas concentrate in floodplains and coastal zones, with Asia exhibiting the highest median risk and greatest internal heterogeneity. Economic exposure surges disproportionately in high-income and rapidly developing economies, while population exposure in very high-risk zones peaks mid-century before declining under most SSPs, except SSP3-7.0 where it rises monotonically. These findings underscore the critical need for pathway-specific adaptation strategies to mitigate escalating flood impacts in an increasingly polarized risk landscape.

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Publication Details

Journal
npj natural hazards.
Published
2026-08-25
DOI
https://doi.org/10.1038/s44304-026-00263-y
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Global flood risk projection under climate change and shared socioeconomic pathways

Sven Fuchs, Yu Duan, Mingtao Ding, Wen He et al.
npj natural hazards.
Flood Risk Assessment and Management
article

Global flood risk projection under climate change and shared socioeconomic pathways

Sven Fuchs, Yu Duan, Mingtao Ding, Wen He, Francisco Dourado, Feng Li, Yufeng He, Junnan Xiong, Rongwei Li
article en

Abstract

Abstract Climate change and socioeconomic development jointly amplify global flood threats, yet integrated projections remain limited. Here we developed a stacking ensemble framework combining the Coupled Model Intercomparison Project Phase 6 (CMIP6) multi-model precipitation data with population, economic, and land-use trends under Shared Socioeconomic Pathways (SSPs). This framework is to project global flood risk under climate change. Our results reveal a persistent increase in flood risk index (FRI) throughout the 21st century, with the highest emission scenario (SSP5-8.5) driving a 18.8% rise by 2081–2100 compared to the baseline period (1995-2014). Notably, under the low-emission SSP1-2.6, FRI already increases by 13.1% in the near future (2021–2040)—approximately 70% of the SSP5-8.5 endpoint increase—indicating substantial near-term risk commitment from historical emissions. High-risk areas concentrate in floodplains and coastal zones, with Asia exhibiting the highest median risk and greatest internal heterogeneity. Economic exposure surges disproportionately in high-income and rapidly developing economies, while population exposure in very high-risk zones peaks mid-century before declining under most SSPs, except SSP3-7.0 where it rises monotonically. These findings underscore the critical need for pathway-specific adaptation strategies to mitigate escalating flood impacts in an increasingly polarized risk landscape.

npj natural hazards.
Hong Kong Polytechnic University (HK), Southwest Petroleum University (CN), Sichuan University (CN), Universidade do Estado do Rio de Janeiro (BR), Southwest Jiaotong University (CN), Changsha University of Science and Technology (CN), BOKU University (AT)
National Natural Science Foundation of China
Openalex Percentile: Top 12%
Flood Risk Assessment and Management
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