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Proceedings Paper

Short Term Prediction Of Optical Turbulence Parameters
Author(s): James H Brown; Neil J Grossbard
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Paper Abstract

Time series measurements of optical turbulence parameters allow estimation of future values. First, a secular global model is found from the "Clear" database. Then statistical approaches which use past and present data to predict future points are examined. One predictive technique applies the global model plus auto-regression. Comparisons are made with: a.) the global model alone, b.) a polynomial extrapolation, and c.) the assumption that the predicted value equals the present value. The method using auto-regressive linear prediction is the most accurate. This is due to the fact that short-term correlation exists over five to thirty minutes. Sufficient stationarity apparently exits which allows good estimates of one set of prediction coefficients for the entire data base.

Paper Details

Date Published: 10 August 1988
PDF: 8 pages
Proc. SPIE 0926, Optical, Infrared, Millimeter Wave Propagation Engineering, (10 August 1988); doi: 10.1117/12.945786
Show Author Affiliations
James H Brown, Air Force Geophysics Laboratory (United States)
Neil J Grossbard, Boston College (United States)

Published in SPIE Proceedings Vol. 0926:
Optical, Infrared, Millimeter Wave Propagation Engineering
Norman S. Kopeika; Walter B. Miller, Editor(s)

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