Synoptics and Tornado Projections using SOMs and ANNs (Kent State and EPRI)
Description
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).
Files
Steps to reproduce
Put all files into a common folder, and then run the script "EPRI_Project_CodeDelivery_FINAL.m" in Matlab (version 2020a or newer). Note that this script has a few sections that have been commented-out in order to prevent over-writing the saved data, including artificial neural network (ANN) models that are randomly initialized. Only un-comment those sections if you wish to *TRAIN* new ANNs. You must have the following software (or newer) from Mathworks: ----------------------------------------------------------------------------------------------------- MATLAB Version 9.8 (R2020a) Curve Fitting Toolbox Version 3.5.11 (R2020a) Deep Learning Toolbox Version 14.0 (R2020a) Econometrics Toolbox Version 5.4 (R2020a) Financial Toolbox Version 5.15 (R2020a) Mapping Toolbox Version 4.10 (R2020a) Optimization Toolbox Version 8.5 (R2020a) Parallel Computing Toolbox Version 7.2 (R2020a) Statistics and Machine Learning Toolbox Version 11.7 (R2020a)