6 citations as recorded by crossref.

1. Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis M. Fooladi et al. https://doi.org/10.1016/j.jenvman.2021.113283
2. Time series modelling of drought in a semi-arid region of south Gujarat, India K. Jariwala & P. Agnihotri https://doi.org/10.1007/s12040-024-02357-5
3. Hydrological drought dynamics and its teleconnections with large-scale climate indices in the Xijiang River basin, South China Q. Lin et al. https://doi.org/10.1007/s00704-022-04153-x
4. Hybrid models generalize better to warmer climate conditions than process-based and purely data-driven models J. Bohl et al. https://doi.org/10.5194/hess-30-4667-2026
5. Future evolution characteristics of hydrological drought in the Yuanjiang River Basin under China's dual-carbon scenarios X. Dou et al. https://doi.org/10.2166/wcc.2025.105
6. Application of Machine Learning and Hydrological Models for Drought Evaluation in Ungauged Basins Using Satellite-Derived Precipitation Data A. Parajuli et al. https://doi.org/10.3390/cli12110190