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, impact assessments for various applications such as flood risk assessments, flood forecasting, 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.
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