Deeksha Rastogi is a Research Scientist in the Computational Urban Sciences Group within the Computational Science and Engineering Division at Oak Ridge National Laboratory since 2019. Before her current role, she worked as a Research Associate in the Computational Earth Sciences Group at ORNL during 2013-2019. She has over 14 years of experience working in the fields of atmospheric and climate sciences. Her research focuses on understanding climate change, weather/climate extremes, and associated hydroclimate responses and impacts on natural and human systems at varying spatiotemporal scales. She employs high-performance computing and earth system modeling tools and scientific data analysis to achieve these objectives.
Deeksha has worked on various projects supported by the United States, Department of Energy. She has contributed to the development of multiple high-resolution, physics-based climate datasets. She has authored/coauthored a total of 26 peer-reviewed publications, 3 datasets, 6 technical reports, and 1 encyclopedia book chapter. She has reviewed over 70 manuscripts submitted to 20 scientific journals. Actively engaged in the scientific community, she is a member of the American Geophysical Union (AGU) and has organized and chaired sessions at AGU Fall Meetings since 2018.
Deeksha earned her PhD in Energy Science and Engineering with a focus in Environmental and Climate Sciences from the Bredesen Center at the University of Tennessee, Knoxville in 2019. She obtained her MS in Atmospheric Sciences from the University of Illinois Urbana Champaign in 2012 and her BS (B. Tech.) in Environmental Engineering from the Indian School of Mines, Dhanbad, India in 2010.
Deeksha received the Bredesen Center Fellowship from The University of Tennessee, Knoxville, TN from 2016 to 2019 and the Graduate Student Fellowship in the Advanced Study Program at the National Center for Atmospheric Research, Boulder, CO in 2019. Recognizing her contributions, she received the Graduate Student Researcher Award in the Science and Technology Category of the UT-Battelle Awards in 2019. Additionally, she was granted the ORNL Laboratory Directed Research and Development (LDRD) Early Career Award in 2023.
CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US
Thermodynamic Global Warming (TGW) Simulation Datasets
Future Typical Meteorological Year (fTMY) US Weather Files for Building Simulation