Superposition Principle for Tornado Prediction

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Superposition Principle for Tornado Prediction

Book Chapter (2023)

Author(s)

Fuad Aleskerov (National Research University Higher School of Economics (HSE University))

Sergey Demin (National Research University Higher School of Economics (HSE University))

Sergey Shvydun (National Research University Higher School of Economics (HSE University))

Theodore Trafalis (University of Oklahoma)

Michael Richman (University of Oklahoma)

Vyacheslav Yakuba (National Research University Higher School of Economics (HSE University))

Affiliation

External organisation

DOI related publication

https://doi.org/10.1007/978-3-031-39542-0_13

Data analysis Superposition principle Tornado prediction

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https://resolver.tudelft.nl/uuid:d150a365-c5d4-4d16-af6a-357ed7a807b4

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Publication Year

2023

Language

English

Affiliation

External organisation

Pages (from-to)

267-277

Publisher

Springer

Abstract

Tornado prediction methods are analyzed. A model, based on the superposition principle applied for different methods of data analysis has been built. For efficiency evaluation, the constructed model has been tested on real data. It is shown that the constructed tornado prediction model is more efficient than previous models.

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