Date of Award




Document Type

Master's Thesis

Degree Name

Master of Science (MS)


Department of Atmospheric and Environmental Sciences

Content Description

1 online resource (ii, 127 pages) : illustrations (some color), maps (some color)

Dissertation/Thesis Chair

Robert Fovell

Committee Members

David Fitzjarrald


Gust Factor, Gusts, Parameterization, Wind, Wind-pressure, Gust loads, Wind forecasting, Aerodynamics

Subject Categories

Atmospheric Sciences


There exists a strong, well documented linear relationship between network averaged sustained (or mean) wind and gust speeds within the San Diego Gas and Electric (SDGE) mesonet that is characterized by the slope of the linear regression between the two known as the network average gust factor (GF). The network average GF potentially contains information on the average obstruction of the stations within the network and when paired with numerical model output, may be used for gust prediction. Using the network average GF for gust prediction can also result in the correction of biases due to poorly resolved terrain or unresolved obstructions. This thesis explores the presence of strong network average GFs in a collection of diverse observation networks, different methods for estimating network GF, and the influence of potential measurement and environmental controls on network average GF.