Date of Award

3-2021

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Engineering Physics

First Advisor

Peter Saunders, PhD

Abstract

This work explores the question as to whether lightning data can be generated synthetically using vector autoregressive-moving-average (VARMA) models. Geostationary Lightning Mapper (GLM) data is used as the basis for the study. Lightning climatology is examined and compared to previous research to gain insight into the targeted areas. Individual lightning ashes are analyzed to inspect how well the process works on a smaller scale. Then, entire regions are evaluated to simulate lightning creation in a larger setting. Results suggest that the VARMA process employed is sufficient in generating synthetic lightning observations, largely dependent on the time and location of lightning events.

AFIT Designator

AFIT-ENP-MS-21-M-131

DTIC Accession Number

AD1145717

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