Date of Award

3-8-2004

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Engineering Physics

First Advisor

Ronald P. Lowther, PhD

Abstract

Unmanned aerial vehicles (UAVs) have onboard sensors that continuously record weather data during their missions. This information is extremely valuable to both the meteorological and UAV communities with numerous potential benefits, which include improved weather forecast products and additional weather intelligence for military planners. The value of any dataset is directly related to its accuracy and this research determined the accuracy of weather data obtained from a particular UAV, the RQ-4A Global Hawk. This was accomplished through statistical analysis and comparisons with upper-air data and Atmospheric Slant Path Analysis Model (ASPAM) profiles of the atmosphere. Recommendations are provided for the use of this valuable environmental intelligence source to multiple user communities.

AFIT Designator

AFIT-GM-ENP-04-03

DTIC Accession Number

ADA422577

Included in

Meteorology Commons

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