Implementation of the geo-correlation methodology for predictability of catastrophic weather events: long-term US tornado season and short-term hurricanes

Abstract

The main purpose of the current research is the analysis of new and existing suggested models for mid- and long-term prediction methodologies of catastrophic weather events. The ability to predict these events save human lives and, is therefore, the highest priority. Despite the extensive efforts of scientists and multibillion-dollar investments by private companies and governments, there are currently no reliable methodologies for advance prediction of these disastrous events. In this article, we analyze the suggested geo-correlation methodology and its implementation for predicting two categories of catastrophic weather events—a long-term tornado season for the next 30 years and a short-term hurricane prediction. The tornado season prediction model is based on the fast Fourier transform coefficients from the tornado spectrum, which coincide with the coefficients from the Sun–Moon–Earth gravitational/magnetic system. Proposed methodologies can be directly implemented for catastrophe risk management and disaster risk reduction.