In partnership with the Center for Severe Weather Research (CSWR) and the Cooperative Institute for Meteorological Satellite Studies (CIMSS), CSCI has active NSF-funded research in severe weather meteorology. Mobile Doppler radar (MDR) provides a unique window into the processes of severe weather phenomena and has been instrumental in unraveling the mysteries of severe storms and their most mysterious and destructive product - the tornado. However, no well- established theoretical foundation formerly existed for the quantitative analysis of the large volumes of spatio-temporal data generated in this field. This presented CSCI with a unique opportunity to apply our multivariate GO-ESP and EFD methods developed for neuroimaging analyses to this problem. Our work in this area promises measurable improvements in the ability of severe weather researchers to quantitatively analyze, visualize, and explore complex spatio- temporal MDR datasets and large-scale simulations of tornadic supercells. This offers advancements in the simulation and prediction of these highly complex systems and the potential to improve public safety and mitigate economic impacts from resulting property damage.
Frank LR, Galinsky VL, Orf L, Wurnan J. Dynamic multi-scale modes of severe storm structure detected in mobile Doppler radar data by entropy field decomposition. Journal of Atmospheric Science 75(3): 709-730, 2018.