Synoptics and Tornado Projections using SOMs and ANNs (Kent State and EPRI)

These are the requisite datasets, customized functions, and scripts associated with the paper: "Using neural network models and synoptic circulation patterns to project future changes in US tornado activity" by Cameron Lee, Omon Obarein, and Erik Tyler Smith (currently in preparation as of 21-Jan-2025). All datasets, custom functions, and scripts are in Matlab-based file formats (.mat for data, and .m for functions and scripts). The dataset named "Outputs_Xkeepsave_SOMxANN_v35.mat" is a Matlab 'cell-array' data file of the collection of final datasets for producing various graphics and tables in the above-mentioned manuscript. For any questions on the use of these datasets, custom functions and scripts, please contact Dr. Cameron C. Lee at Kent State University.

This research was funded by EPRI (Contract ID: 10016806; PI: Cameron C. Lee).