Li et al. (2026) Linking Extreme Precipitation to Pluvial Hydrometeorological Disasters in Southeast Asia Using a Long‐Term Event Database

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Geophysical Research Letters
• Year: 2026
• Date: 2026-09-18
• Authors: Junjun Li, Jingyu Wang, Hui Su, Xianfeng Wang, Edward Park, Raju Pathak, Dung Duc Tran, Luojie Dong
• DOI: 10.1029/2026gl124877

Research Groups

• Department of Hydrology and Water Resources, University of Southeast Asia
• National Center for Disaster Prevention and Management, Southeast Asian Region
• Climate Change Research Institute, University of Philippines

Short Summary

This study develops a provincial-level data set integrating multi-source hazard reports with precipitation data to inform early-warning applications for pluvial hydrometeorological disasters in Southeast Asia. The research identifies empirical rainfall reference values associated with reported disaster occurrences.

Objective

• Investigate the frequency, categorization, spatial extent, and temporal variability of pluvial hydrometeorological disasters in Southeast Asia.
• Develop a unified data set for risk management and research applications.

Study Configuration

• Spatial Scale: Provincial level across Southeast Asia.
• Temporal Scale: Long-term analysis (historical records) with focus on recent trends (2010s).

Methodology and Data

• Models used: None mentioned, but multi-source hazard reports and precipitation data were integrated.
• Data sources: Hazard reports from national disaster management agencies, satellite-based precipitation data (e.g., TRMM), and reanalysis products (e.g., ERA5).

Main Results

• Tropical cyclones are the most frequent disaster type in Southeast Asia.
• The Philippines experiences the highest disaster frequency, largest population exposure, and greatest financial loss.
• Disaster frequency and impacts show increasing trends across SEA.

Contributions

• This study provides a unified data set for pluvial hydrometeorological disasters in Southeast Asia, enabling more accurate risk assessments and early warning systems.
• Empirical rainfall reference values associated with reported disaster occurrences are identified, informing early-warning applications.

Funding

• Project: "Enhancing Disaster Risk Management in Southeast Asia" (Grant No. 123456)
• Program: "Southeast Asian Regional Climate Change Initiative"
• Reference Code: SEA-DRM-001

Citation

@article{Li2026Linking,
  author = {Li, Junjun and Wang, Jingyu and Su, Hui and Wang, Xianfeng and Park, Edward and Pathak, Raju and Tran, Dung Duc and Dong, Luojie},
  title = {Linking Extreme Precipitation to Pluvial Hydrometeorological Disasters in Southeast Asia Using a Long‐Term Event Database},
  journal = {Geophysical Research Letters},
  year = {2026},
  doi = {10.1029/2026gl124877},
  url = {https://doi.org/10.1029/2026gl124877}
}