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Proceedings Paper

Data modeling for lightning strike severity prediction for severe storm and early tornado warning
Author(s): Holger M. Jaenisch; James W. Handley; Kristina L. Jaenisch R.N.; Ronald E. Carlson; Nathaniel G. Albritton; Stephen E. Moren
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Paper Abstract

We present a series of algorithms and preliminary work towards developing a fully autonomous and real-time lightning severity prediction capability enabling one hour ahead forecasting based on local lightning strike characteristics. Our approach characterizes total, cloud to cloud, and cloud to ground strikes as input variables to derive the number of strikes

Paper Details

Date Published: 12 May 2009
PDF: 13 pages
Proc. SPIE 7328, Enhanced and Synthetic Vision 2009, 732805 (12 May 2009); doi: 10.1117/12.817844
Show Author Affiliations
Holger M. Jaenisch, LSEI Consultants (United States)
Johns Hopkins Univ. (United States)
James Cook Univ. (Australia)
James W. Handley, LSEI Consultants (United States)
Amtec Corp. (United States)
Kristina L. Jaenisch R.N., LSEI Consultants (United States)
Ronald E. Carlson, LSEI Consultants (United States)
Nathaniel G. Albritton, Amtec Corp. (United States)
Stephen E. Moren, Amtec Corp. (United States)


Published in SPIE Proceedings Vol. 7328:
Enhanced and Synthetic Vision 2009
Jeff J. Güell; Maarten Uijt de Haag, Editor(s)

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