10 citations as recorded by crossref.

1. Large ensemble simulations indicate increases in spatial compounding of droughts and hot extremes across multiple croplands in China B. Lv et al. 10.1016/j.gloplacha.2024.104670
2. Comparative analysis of CMIP5 and CMIP6 in conjunction with the hydrological processes of reservoir catchment, Chhattisgarh, India S. Verma et al. 10.1016/j.ejrh.2023.101533
3. A Meteorological Drought Migration Model for Assessing the Spatiotemporal Paths of Drought in the Choushui River Alluvial Fan, Taiwan H. Yeh et al. 10.3390/geosciences14040106
4. Compound and consecutive drought-flood events at a global scale A. Matanó et al. 10.1088/1748-9326/ad4b46
5. Revolutionizing the future of hydrological science: Impact of machine learning and deep learning amidst emerging explainable AI and transfer learning R. Maity et al. 10.1016/j.acags.2024.100206
6. Compound dry and hot extremes: A review and future research pathways for India R. Guntu & A. Agarwal 10.1016/j.jhydrol.2024.131199
7. Floodplain lakes: Linking hydrology to ecology and conservation F. Xue et al. 10.1016/j.earscirev.2024.104967
8. Frequency curves of high and low flows in intermittent river basins for hydrological analysis and hydraulic design G. Sarigil et al. 10.1007/s00477-024-02732-0
9. Comparative analysis of cloud properties over drought- and flood-prone regions of western India using machine learning techniques N. Mevada & R. Srivastava 10.2166/wcc.2024.511
10. The testing of a multivariate probabilistic framework for reservoir safety evaluation and flood risks assessment in Slovakia: A study on the Parná and Belá Rivers R. Výleta et al. 10.2478/johh-2023-0027