Liu et al. (2026) Compound climate hazards revealed by global modeling of drought, heatwaves, and land degradation

Identification

• Journal: Global and Planetary Change
• Year: 2026
• Date: 2026-07-30
• Authors: Jinping Liu, Yanqun Ren, Qingfeng Hu, Tie Liu, Xi Chen, Patrick Willems, Philippe De Maeyer
• DOI: 10.1016/j.gloplacha.2026.105637

Research Groups

• College of Surveying and Geo-Informatics, North China University of Water Resources and Electric Power, China
• College of Geoinformatics, Zhejiang University of Technology, China
• Hydraulics and Geotechnics Section, KU Leuven, Belgium
• Department of Geography, Ghent University, Belgium

Short Summary

The study develops a scalable machine-learning framework to globally map compound climate hazards—specifically drought, heatwaves, and land degradation—identifying critical hotspots in semi-arid and transitional regions.

Objective

• To create an interpretable and reproducible framework to identify overlapping geographic hotspots where drought, heatwaves, and land degradation co-occur and synergistically amplify environmental vulnerability.

Study Configuration

• Spatial Scale: Global
• Temporal Scale: Interannual variability (incorporating short-term seasonal dynamics and long-term drivers)

Methodology and Data

• Models used: Autoencoder (deep learning for data compression), LightGBM (ensemble algorithm for driver modeling), Principal Component Analysis (PCA), and SHAP (Shapley Additive exPlanations) for model interpretation.
• Data sources: Satellite records (Earth observation data), including indicators for drought (SPEI-3), heatwaves, and land degradation.

Main Results

• Developed a unified hazard index that reveals distinct hotspots of converging hazards in semi-arid and transitional regions.
• Successfully separated spatial baselines from seasonal dynamics to resolve temporal mismatches between long-term drivers and short-term extremes.
• Captured the influence of El Niño-Southern Oscillation (ENSO) teleconnections on interannual hazard variability.
• Validated the framework's effectiveness through case studies across six diverse climatic regions.

Contributions

• Provides a physically grounded and scalable methodology for the integrated assessment of compound hazards, moving beyond the traditional focus on individual environmental stressors.
• Offers a tool to support early-warning systems, adaptation planning, and environmental governance against accelerating climate risks.

Funding

• Not specified in the provided text.

Citation

@article{Liu2026Compound,
  author = {Liu, Jinping and Ren, Yanqun and Hu, Qingfeng and Liu, Tie and Chen, Xi and Willems, Patrick and Maeyer, Philippe De},
  title = {Compound climate hazards revealed by global modeling of drought, heatwaves, and land degradation},
  journal = {Global and Planetary Change},
  year = {2026},
  doi = {10.1016/j.gloplacha.2026.105637},
  url = {https://doi.org/10.1016/j.gloplacha.2026.105637}
}