11 citations as recorded by crossref.

1. A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin) H. Henriksen et al. 10.3390/w15010025
2. CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations J. Liu et al. 10.5194/essd-17-1551-2025
3. Leveraging digital twins for community-driven sustainable WEFE nexus management A. Shehadeh et al. 10.1016/j.sftr.2025.100722
4. 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
5. Modelling of shallow groundwater levels and interaction with drainage system and streams under the impact of climate change S. Thorndahl & R. Nielsen 10.2166/wpt.2024.299
6. Impact of urban geology on model simulations of shallow groundwater levels and flow paths A. LaBianca et al. 10.5194/hess-27-1645-2023
7. Machine learning-based spatial downscaling and bias-correction framework for high-resolution temperature forecasting X. Meng et al. 10.1007/s10489-024-05504-z
8. Enhancing Urban Sustainability and Resilience: Employing Digital Twin Technologies for Integrated WEFE Nexus Management to Achieve SDGs A. Shehadeh et al. 10.3390/su16177398
9. Using random forests to explore the feasibility of groundwater knowledge transfer between the contiguous US and Denmark Y. Ma et al. 10.1088/2515-7620/ad9b08
10. Harnessing machine learning for assessing climate change influences on groundwater resources: A comprehensive review A. Bamal et al. 10.1016/j.heliyon.2024.e37073
11. 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