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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/amt-2020-333
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2020-333
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  05 Nov 2020

05 Nov 2020

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This preprint is currently under review for the journal AMT.

Improved method of estimating temperatures at meteor peak heights

Emranul Sarkar1,2, Alexander Kozlovsky1, Thomas Ulich1, Ilkka Virtanen2, Mark Lester3, and Bernd Kaifler4 Emranul Sarkar et al.
  • 1Sodankylä Geophysical Observatory, Sodankylä, Finland
  • 2Space Physics and Astronomy Research Unit, University of Oulu, Finland
  • 3Department of Physics and Astronomy, University of Leicester, Leicester, UK
  • 4Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany

Abstract. For two decades meteor radars have been routinely used to monitor temperatures around the 90 km altitude. A common method, based on a temperature-gradient model, is to use the height dependence of meteor decay time to obtain a height-averaged temperature in the peak meteor region. Traditionally this is done by fitting a linear regression model in the scattered plot of log10(1 / τ) and height, where τ is the half-amplitude decay time of the received signal. However, this method was found to be consistently biasing the slope estimate. The consequence of such bias is that it produces a systematic offset in the estimated temperature, and thus requiring calibration with other colocated measurements. The main reason for such a biasing effect is thought to be due to the failure of the classical regression model to take into account the measurement error in τ or the observed height. This is further complicated by the presence of various geophysical effects in the data, which are not taken into account in the physical model. The effect of such biasing is discussed on both theoretical and experimental grounds. An alternative regression method that incorporates various error terms in the statistical model is used for line fitting. This model is used to construct an analytic solution for the bias-corrected slope coefficient for this data. With this solution, meteor radar temperatures can be obtained independently without using any external calibration procedure. When compared with colocated lidar measurements, the temperature estimated using this method is found to be accurate within 7 % or better and without any systematic offset.

Emranul Sarkar et al.

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Emranul Sarkar et al.

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Short summary
The biasing effect in meteor radar temperature has been a pressing issue for last two decades. This paper has addressed, for the first time, the underlying reasons for such biasing effect on both theoretical and experimental grounds. An improved statistical method has been developed which allows atmospheric temperatures at around 90 km to be measured with meteor radar in an independent way such that any subsequent bias-correction or calibration is no longer required.
The biasing effect in meteor radar temperature has been a pressing issue for last two decades....
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