Superposition Principle for Tornado Prediction

Fuad Aleskerov, Sergey Demin, Sergey Shvydun, Theodore Trafalis, Michael Richman and Vyacheslav Yakuba
Additional contact information
Sergey Demin: HSE University
Theodore Trafalis: University of Oklahoma
Michael Richman: University of Oklahoma
Vyacheslav Yakuba: HSE University

A chapter in Handbook for Management of Threats, 2023, pp 267-277 from Springer

Abstract: 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.

Keywords: Tornado prediction; Superposition principle; Data analysis (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-031-39542-0_13

Ordering information: This item can be ordered from
http://www.springer.com/9783031395420

DOI: 10.1007/978-3-031-39542-0_13

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().