Accession Number:

AD1101340

Title:

Lightning Prediction for Space Launch Using Machine Learning Based Off of Electric Field Mills and Lightning Detection and Ranging Data

Descriptive Note:

Technical Report,01 Oct 2018,01 Mar 2020

Corporate Author:

AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH WRIGHT-PATTERSON AFB United States

Personal Author(s):

Report Date:

2020-03-26

Pagination or Media Count:

63.0

Abstract:

Last year in 2019, USAF had 48 projected launches out of CC, twice as much as the current standard, 24. Even with such lofty goals, the USAF fell short in one of its busiest years in space launches, not even reaching 24 launches. KSC and CCAFS are in an area of frequent lightning strikes, which is the leading cause for delayed and cancelled space launches and the main obstacle in meeting launch goals. The 45th WS ensures that any weather safety requirements are met during pre-launch and actual space launch. The 45th WS analyzes 31 EFMs data among other sources to predict lightning occurrence. This study hopes to build upon previous EFM studies while taking a different approach.

Subject Categories:

  • Meteorology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE