Articles | Volume 30, issue 12
https://doi.org/10.5194/hess-30-3925-2026
https://doi.org/10.5194/hess-30-3925-2026
Research article
 | 
26 Jun 2026
Research article |  | 26 Jun 2026

Daily drought prediction in the Huaihe River Basin using VMD-informer-LSTM

Min Li, Ming Ou, Yuhang Yao, and Changman Yin

Data sets

CNLUCC: Multi-period land use remote sensing monitoring dataset in China X. L. Xu et al. https://doi.org/10.12078/2018070201

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Short summary
This study examines the risk of possible water shortages in the Huaihe River Basin and explores whether dry periods can be predicted more reliably. Using decades of daily environmental records, we built a model that separates complex signals into simpler parts and learns their patterns. It forecasts dry conditions more accurately than earlier methods and performs well across regions and time spans. The findings can help the basin prepare for potential water shortages and support better planning.
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