Subject
Water Science and Technology
Cited by
7 articles.
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1. A fast high resolution distributed hydrological model for forecasting, climate scenarios and digital twin applications using wflow_sbm;Environmental Modelling & Software;2024-08
2. Advancing Hydrology through Machine Learning: Insights, Challenges, and Future Directions Using the CAMELS, Caravan, GRDC, CHIRPS, PERSIANN, NLDAS, GLDAS, and GRACE Datasets;Water;2024-07-03
3. Indicator metrics and temporal aggregations introduce ambiguities in water scarcity estimates;Scientific Reports;2024-07-02
4. Hydraulic River Models From ICESat‐2 Elevation and Water Surface Slope;Water Resources Research;2024-06
5. Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System GloFAS;Meteorological Applications;2024-03