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Ganesh R. Ghimire (he/him/his)

R&D Staff Scientist
Oak Ridge National Laboratory

Dr. Ganesh Ghimire is an R&D Associate Staff Scientist of the Water Resource Science and Engineering Group within the Environmental Sciences Division at Oak Ridge National Laboratory (ORNL). His primary area of focus at ORNL is the interface of water and energy. His research works at ORNL include the development of CONUS-scale high-resolution flood inundation prediction/forecasting capability, U.S. national-scale energy storage capacity evaluation of the conventional hydropower fleet, large-scale hydrologic modeling and evaluation, flood hazard and uncertainty assessment, machine learning applications in surface hydrology, and hydroclimate impact assessment. He is one of the creators of the CONUS-scale streamflow reanalysis (Dayflow; https://hydrosource.ornl.gov/dataset/dayflow-V1) and Hydropower Energy Storage Capacity (HESC; https://hydrosource.ornl.gov/dataset/hydropower-energy-storage-capacity-dataset) datasets.

Before joining ORNL, he worked as a research assistant at the Iowa Flood Center and IIHR-Hydroscience and Engineering during his Ph.D. at the University of Iowa. His Ph.D. research primarily focused on understanding the uncertainties in real-world hydrologic processes and their impact on consequent streamflow predictability across space and time scales. This effort approached streamflow forecasting in a holistic framework, using both data-driven and process-based methods. His dissertation was awarded the prestigious Ballard and Seashore Ph.D. dissertation fellowship.

His research interests range across domains of water resources, including surface hydrology, hydrologic forecasting, hydrologic-hydraulic modeling, hydropower, uncertainty quantification, remote sensing and data assimilation, machine learning/deep learning applications, and natural hazards. He is a frequent reviewer for more than 10 scientific/engineering journals.

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