Contact Information gangrades@ornl.gov 865.574.7390 orcid.org/0000-0002-0730-0810 Key Links Google Scholar Related Organizations Biological and Environmental Systems Science Directorate Environmental Sciences Division Biodiversity and Sustainable Systems Section Water Resource Science and Engineering Group Climate Change Science Institute Energy Science and Technology Directorate Water Power Program Sudershan Gangrade Research and Development Staff Download CV All Publications Insights From Dayflow: A Historical Streamflow Reanalysis Dataset for the Conterminous United States... Impacts of climate change on future hurricane induced rainfall and flooding in a coastal watershed: A case study on Hurricane... Machine Learning Assisted Reservoir Operation Model for Long-Term Water Management Simulation... The Third Assessment of the Effects of Climate Change on Federal Hydropower... Performance Execution Plan 2021 ORNL/AF R&D Collaboration... Evaluating precipitation, streamflow, and inundation forecasting skills during extreme weather events: A case study for an ur... TRITON: A Multi-GPU Open Source 2D Hydrodynamic Flood Model... Assessing climate-change-induced flood risk in the Conasauga River watershed: an application of ensemble hydrodynamic inundat... Streamflow Simulation in Data-Scarce Basins Using Bayesian and Physics-Informed Machine Learning Models... Simulation of Hurricane Harvey flood event through coupled hydrologic‐hydraulic models: Challenges and next steps... Performance Evaluation of a Two-Dimensional Flood Model on Heterogeneous High-Performance Computing Architectures... Performance Evaluation of a Two-Dimensional Flood Model on Heterogeneous High-Performance Computing Architectures... High-performance computing in water resources hydrodynamics... Multi-model Hydroclimate Projections for the Alabama-Coosa-Tallapoosa River Basin in the Southeastern United States... High Performance Computing in hydraulics: the new era of flood forecasting... Ensemble-based Flood Vulnerability Assessment for Probable Maximum Flood In a Changing Environment Ensemble-based flood vulnerability assessment for probable maximum flood in a changing environment... Ensemble-based Flood Vulnerability Assessment for Probable Maximum Flood In a Changing Environment Ensemble-based flood vulnerability assessment for probable maximum flood in a changing environment Ensemble-based flood vulnerability assessment for probable maximum flood in a changing environment... Ensemble-based Flood Vulnerability Assessment for Probable Maximum Flood In a Changing Environment Ensemble-based flood vulnerability assessment for probable maximum flood in a changing environment Ensemble-based Flood Vulnerability Assessment for Probable Maximum Flood In a Changing Environment Ensemble-based flood vulnerability assessment for probable maximum flood in a changing environment Ensemble-based flood vulnerability assessment for probable maximum flood in a changing environment Pagination Current page 1 Page 2 Next page ›› Last page Last »
