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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 53, Iss. 4 — Feb. 1, 2014
  • pp: 666–673

Nonlinear regression method for estimating neutral wind and temperature from Fabry–Perot interferometer data

Brian J. Harding, Thomas W. Gehrels, and Jonathan J. Makela  »View Author Affiliations

Applied Optics, Vol. 53, Issue 4, pp. 666-673 (2014)

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The Earth’s thermosphere plays a critical role in driving electrodynamic processes in the ionosphere and in transferring solar energy to the atmosphere, yet measurements of thermospheric state parameters, such as wind and temperature, are sparse. One of the most popular techniques for measuring these parameters is to use a Fabry–Perot interferometer to monitor the Doppler width and breadth of naturally occurring airglow emissions in the thermosphere. In this work, we present a technique for estimating upper-atmospheric winds and temperatures from images of Fabry–Perot fringes captured by a CCD detector. We estimate instrument parameters from fringe patterns of a frequency-stabilized laser, and we use these parameters to estimate winds and temperatures from airglow fringe patterns. A unique feature of this technique is the model used for the laser and airglow fringe patterns, which fits all fringes simultaneously and attempts to model the effects of optical defects. This technique yields accurate estimates for winds, temperatures, and the associated uncertainties in these parameters, as we show with a Monte Carlo simulation.

© 2014 Optical Society of America

OCIS Codes
(100.2650) Image processing : Fringe analysis
(120.2230) Instrumentation, measurement, and metrology : Fabry-Perot
(300.2140) Spectroscopy : Emission
(280.4991) Remote sensing and sensors : Passive remote sensing
(010.0280) Atmospheric and oceanic optics : Remote sensing and sensors

ToC Category:
Diffraction and Gratings

Original Manuscript: October 16, 2013
Revised Manuscript: December 16, 2013
Manuscript Accepted: December 20, 2013
Published: January 28, 2014

Brian J. Harding, Thomas W. Gehrels, and Jonathan J. Makela, "Nonlinear regression method for estimating neutral wind and temperature from Fabry–Perot interferometer data," Appl. Opt. 53, 666-673 (2014)

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