Dr. Ganesh Ghimire is a Research and Development Staff Scientist of the Water Resource Science and Engineering Group within the Environmental Sciences Division at Oak Ridge National Laboratory (ORNL). His research at ORNL spans a broad range of water resources, including the development of CONUS-scale high-resolution flood inundation prediction/forecasting capability, flood risk and uncertainty assessments, streamflow forecasting, water-energy nexus, large-scale hydrologic modeling and evaluation, machine learning applications in surface hydrology, and hydroclimate assessments. 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-version-2) 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 frequently reviews more than 10 high-impact scientific/engineering journals.
2021 - Dan Branson fellowship ($3,000)
2020 - Ballard and Seashore Ph.D. dissertation fellowship ($10,000)
2018/2019/2020 - CGRER (The University of Iowa) travel grant for AGU conference