Abstract

Abstract. We have developed a new parameter estimation method for Doppler wind spectra in the mesosphere observed with an MST radar such as the MU radar in the DBS (Doppler Beam Swinging) mode. Off-line incoherent integration of the Doppler spectra is carried out with a new algorithm excluding contamination by strong meteor echoes. At the same time, initial values on a least square fitting of the Gaussian function are derived using a larger number of integration of the spectra for a longer time and for multiple heights. As a result, a significant improvement has been achieved with the probability of a successful fitting and parameter estimation above 80 km. The top height for the wind estimation has been improved to around 95 km. A comparison between the MU radar and the High Resolution Doppler Imager (HRDI) on the UARS satellite is shown and the capability of the new method for a validation of a future satellite mission is suggested.Key words. Meteorology and atmospheric dynamics (middle atmosphere dynamics) – Radio science (remote sensing; signal processing)

Highlights

  • The atmospheric structure in the mesosphere and lower thermosphere (MLT) region is observed with various instruments, such as MF radars, meteor radars, MST radars, imagers, lidars, etc

  • A MST radar observation with a sharp pencil beam and a high wind measurement accuracy is useful for validating the wind velocities measured with the satellite if the height range overlaps that of the satellite measurements

  • The third improvement is the proper derivation of the initial values on a Gaussian fitting of th Doppler spectra by using a longer time and height averaging of spectra, which is similar to the method of parameter estimation of stratospheric data with the MU radar introduced by Sato (1997)

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Summary

Introduction

The atmospheric structure in the mesosphere and lower thermosphere (MLT) region is observed with various instruments, such as MF radars, meteor radars, MST radars, imagers, lidars, etc. Comparisons of wind measurements with another technique is, very helpful In this sense, a MST radar observation with a sharp pencil beam and a high wind measurement accuracy is useful for validating the wind velocities measured with the satellite if the height range overlaps that of the satellite measurements. In order to extend the height range of a successful parameter estimation, we improve the parameter estimation method, and compare the wind velocity measurements with HRDI and the MU radar turbulence observation mode by means of the new parameter estimation method

The MU radar mesosphere observation
Improvement of parameter estimation
Findings
Conclusion

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