Bio
Sudershan Gangrade is a Water Resources Engineer in the Environmental Sciences Division at Oak Ridge National Laboratory (ORNL). His research focuses on large-scale hydrologic and hydrodynamic flood modeling, as well as hydroclimate impact assessments for various applications such as flood risk assessments, flood forecasting, climate change, and water resource management and planning. Sudershan is dedicated to advancing the understanding of surface hydrologic systems and addressing challenges in water resources through high-performance computing-supported modeling, advanced data analytics and visualization, and the application of machine learning and deep learning techniques.
At ORNL, Sudershan has been involved in various projects funded by the Department of Energy (DOE), Department of Defense (DoD), and other agencies. He has led and co-led significant initiatives, including the development of national-scale, high-resolution CMIP6-based hydroclimate projections and reanalysis datasets for the "Effects of Climate Change on Federal Hydropower – SECURE Water Act Section 9505 Assessment" project. Additionally, he contributed to the development of the TRITON inundation model, an open-source, GPU-accelerated flood simulation tool optimized for multi-architecture computing systems. He is also the principal investigator for a DoD-funded project under the Environmental Security Technology Certification Program, which focuses on developing and implementing a high-resolution modeling framework to assess flood vulnerability under changing climate conditions for DoD installations and surrounding communities. Moreover, he has been awarded 2024 supercomputing resources by the U.S. Department of Energy’s Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program.
Sudershan earned his PhD in Energy Science and Engineering with a focus on Environmental and Climate Sciences from the University of Tennessee, Knoxville, in 2019. He also holds an MS in Environmental Engineering and Sciences from Clemson University (2012) and a BS (B.Tech.) in Environmental Engineering from the Indian School of Mines, Dhanbad, India (2010).
Research Products
Software
TRITON: Two-dimensional Runoff Inundation Toolkit for Operational Needs (https://triton.ornl.gov/)
Dataset
CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US - V1, V1.1
CMIP6-based Multi-model Streamflow Projection over the Conterminous US - V1
Dayflow: CONUS Daily Streamflow Reanalysis, V2