Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 30, issue 9
Articles | Volume 30, issue 9
https://doi.org/10.5194/hess-30-2775-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-2775-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 30, issue 9
Research article
 | 
08 May 2026
Research article |  | 08 May 2026

Understanding meteorological, runoff, and agricultural drought propagation and their influencing factors in an ensemble of multiple datasets

Yuanrui Liu, Tingting Hu, Jiawen Yang, and Lei Yu

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Latest update: 31 May 2026
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Short summary
Understanding drought propagation is vital for disaster preparedness and risk management. This study presents a comprehensive analysis of various drought conditions across global land areas. Interpretable machine learning technique is employed to identify the key factors influencing drought propagation. Results reveal large-scale propagation pathways of meteorological-runoff-agricultural droughts, and highlight how climatic characteristics affect these dynamics.
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