Sudershan Gangrade Research and Development Staff Contact 865.574.7390 | gangrades@ornl.gov All Publications Indicators of thermal alteration in US waters reveal patterns of climate risk at the energy-water nexus Explainable machine learning model for multi-step forecasting of reservoir inflow with uncertainty quantification Unraveling the 2021 Central Tennessee flood event using a hierarchical multi-model inundation modeling framework Evaluating Enhanced Reservoir Evaporation Losses From CMIP6-Based Future Projections in the Contiguous United States Impacts of climate change on subannual hydropower generation: a multi-model assessment of the United States federal hydropower plant 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 Harvey 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 urban watershed 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 inundation modeling 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 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 » Key Links Curriculum Vitae Google Scholar ORCID LinkedIn Organizations Biological and Environmental Systems Science Directorate Environmental Sciences Division Biodiversity and Sustainable Systems Section Water Resource Science and Engineering Group Energy Science and Technology Directorate Water Power Program