7 citations as recorded by crossref.

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2. Machine learning-based spatial downscaling and bias-correction framework for high-resolution temperature forecasting X. Meng et al. 10.1007/s10489-024-05504-z
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4. A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin) H. Henriksen et al. 10.3390/w15010025
5. A national-scale hybrid model for enhanced streamflow estimation – consolidating a physically based hydrological model with long short-term memory (LSTM) networks J. Liu et al. 10.5194/hess-28-2871-2024
6. Harnessing machine learning for assessing climate change influences on groundwater resources: A comprehensive review A. Bamal et al. 10.1016/j.heliyon.2024.e37073
7. High-Resolution Precipitation Modeling in Complex Terrains Using Hybrid Interpolation Techniques: Incorporating Physiographic and MODIS Cloud Cover Influences K. Alsafadi et al. 10.3390/rs15092435