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Exploring the factors controlling the performance of the Surface Water and Ocean Topography mission discharge algorithms

Openly available measurements of river flow are essential to allocation of water resources, flood and drought forecast and mitigation efforts, for our understanding of the hydrologic cycle and for many other applications. Access to high quality local …

Screening Tool for Dam Hazard Potential Classification Using Machine Learning and Multi-Objective Hyperparameter Tuning

Within the United States’ National Inventory of Dams, 15,000 dams have been classified as having a "high" hazard potential meaning failure or misoperation would lead to probable loss of human life. However, state dam officials evaluate dam hazard …

Combining big-data remote sensing and global hydrologic modelling improves daily discharge estimates across an entire large watershed

Remote sensing has gained attention as a novel source of primary information for estimating river discharge, and the Mass conserved Flow Law Inversion (McFLI) approach has successfully estimated river discharge in ungauged basins solely from optical …