NDLI: High-Resolution Simulations and Atmospheric Turbulence Forecasting

Content Provider	IEEE Xplore Digital Library
Author	Werne, J. Fritts, D.C. Ling Wang Lund, T. Wan, K.
Copyright Year	2008
Description	Author affiliation: Colorado Res. Assoc. Div., Northwest Res. Assoc., Boulder, CO (Werne, J.; Fritts, D.C.; Ling Wang; Lund, T.; Wan, K.)
Abstract	Forecasting atmospheric turbulence is notoriously challenging, given both (1) the enormous range of time and space scales involved, and (2) the nature of the individual processes that give rise to isolated turbulence patches and layers. Under the strongly stable conditions that characterize the stratosphere, isolated turbulence events are nearly always unresolved by traditional weather forecasting tools. Therefore, the likelihood of their occurrence must be estimated from atmospheric data (mostly balloon data), and their properties must be computed directly using high-resolution simulation techniques. The resulting combination of event frequency, intensity, and duration must then be analyzed to assess mission impact. A statistical approach for describing the high-resolution motions is necessary. Such an approach would use ensemble techniques, new methods based on Bayesian hierarchical modeling (or equivalent), or a combination of both. We adopt a probabilistic approach based on Bayes theorem.
Starting Page	262
Ending Page	266
File Size	2027383
Page Count	5
File Format	PDF
ISBN	9781424433230
DOI	10.1109/DoD.HPCMP.UGC.2008.82
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Missiles Atmospheric modeling Bayesian methods Weather forecasting Terrestrial atmosphere Predictive models Frequency Spatial resolution Wind forecasting Atmospheric waves
Content Type	Text
Resource Type	Article

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