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Proceedings Paper

Airborne Doppler wind lidar data fusion with a diagnostic wind model
Author(s): Yansen Wang; Chatt Williamson; Giap Huynh; David Emmitt; Steve Greco
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Paper Abstract

An initialization method using airborne Doppler wind lidar data was developed and evaluated for a mass-consistent diagnostic wind model over complex terrain. The wind profiles were retrieved from the airborne lidar using a conical scanning scheme and a signal processing algorithm specifically designed for the airborne lidar system. An objective data analysis method in complex terrain was then applied to those wind profiles to produce a threedimensional wind field for model initialization. The model results using the lidar data initialization were compared with independent surface weather observational data and profiles from a microwave radar wind profiler. For the complex terrain in the Salinas valley, the model evaluation with a limited number of observations indicated that the diagnostic wind model with airborne Doppler lidar data produced a reasonably good wind field in moderate to strong wind conditions. However, caution must be stressed for weak wind conditions in which the flow is thermally driven as the mass-consistent diagnostic wind model is not equipped to handle such cases.

Paper Details

Date Published: 14 May 2012
PDF: 10 pages
Proc. SPIE 8379, Laser Radar Technology and Applications XVII, 83790L (14 May 2012); doi: 10.1117/12.918466
Show Author Affiliations
Yansen Wang, U.S. Army Research Lab. (United States)
Chatt Williamson, U.S. Army Research Lab. (United States)
Giap Huynh, U.S. Army Research Lab. (United States)
David Emmitt, Simpson Weather Associates, Inc. (United States)
Steve Greco, Simpson Weather Associates, Inc. (United States)

Published in SPIE Proceedings Vol. 8379:
Laser Radar Technology and Applications XVII
Monte D. Turner; Gary W. Kamerman, Editor(s)

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