Constructing an efficient machine learning model for tornado prediction

Abstract

Tornado prediction methods and main mechanisms of tornado genesis were analyzed. A model, based on the superposition principle, has been built. For efficiency evaluation, the constructed model has been tested on real-life data obtained from the University of Oklahoma (USA). It is shown that the constructed tornado prediction model is more efficient than all previous models.

Working paper WP7/2016/05. Moscow: HSE Publishing House, 2016