Sudershan

Sudershan Gangrade

Senior R&D staff

Contact

GANGRADES@ORNL.GOV

All Publications

Enhancing 2D hydrodynamic flood models through machine learning and urban drainage integration

Enhancing Multi-Step Reservoir Inflow Forecasting: A Time-Variant Encoder–Decoder Approach...

Integrated Modeling Driven Evaluation of Opportunities for Climate-Resilient Perennial Biomass Crop Plantings in Flood-Prone Agricultural Landscapes

Enhancing Streamflow Reanalysis Across the Conterminous US Leveraging Multiple Gridded Precipitation Data Sets

Comparisons of Montane Snow Water Equivalent Projections: Calculating Total Snow Mass in Regions with Projection Agreement and Divergence in the Western United States

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