Preprints
https://doi.org/10.5194/egusphere-2026-5021
https://doi.org/10.5194/egusphere-2026-5021
25 Aug 2026
 | 25 Aug 2026
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

Online zero-Doppler reference tracking and wind speed correction for an iodine-cell Rayleigh Doppler lidar: method and validation

Zhiqiang Tan, Shijiang Shu, Lingbing Bu, Bin Yang, Cong Huang, Yungang Wang, and Cong Wang

Abstract. In an iodine-cell-based Rayleigh Doppler lidar (RDLD), slow drift in the relative spectral position between the transmitted laser frequency and the discriminator response can shift the zero-Doppler reference and introduce systematic wind errors. This study proposes and validates an online zero-Doppler reference tracking and wind correction method based on time-division multiplexed measurements of seed reference light. The seed reference light and atmospheric backscatter share a single iodine-cell frequency discriminator, and the seed transmittance is used to determine the spectral position of the emitted laser relative to the current discriminator response and update the zero-Doppler reference online. In a dynamic frequency-tracking experiment, the difference between Doppler frequency-discrimination receiver (DFDR) and wavemeter measurements had a standard deviation of 1.25 MHz. During the 8 h continuous measurement, hour-scale variations of several megahertz were observed in the relative spectral position, indicating that the zero-Doppler reference may not remain strictly constant during long-term operation. With integration times of 100–1000 s, the Allan deviation of the frequency measurements was reduced to approximately 0.29 MHz. The frequency difference between the seed reference light and pulsed laser had a standard deviation of 1.14 MHz, supporting the use of the seed reference light to track pulsed-laser frequency variations. In atmospheric observations, the mean vertical wind speed shifted from approximately 1.2 to −0.34 m s⁻¹ after zero-Doppler reference correction. In a controlled frequency-offset experiment, RDLD retrieved equivalent wind speeds agreed well with values derived from independent wavemeter measurements. Measured zonal and meridional winds also agreed well with ERA5 reanalysis in their major vertical structures and temporal evolution. These results demonstrate that the method enables online monitoring and correction of the RDLD zero-Doppler reference without continuous reliance on an external wavemeter, improving the stability of long-term wind measurements.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Share
Zhiqiang Tan, Shijiang Shu, Lingbing Bu, Bin Yang, Cong Huang, Yungang Wang, and Cong Wang

Status: open (until 30 Sep 2026)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Zhiqiang Tan, Shijiang Shu, Lingbing Bu, Bin Yang, Cong Huang, Yungang Wang, and Cong Wang
Zhiqiang Tan, Shijiang Shu, Lingbing Bu, Bin Yang, Cong Huang, Yungang Wang, and Cong Wang
Metrics will be available soon.
Latest update: 25 Aug 2026
Download
Short summary
Long-term lidar wind measurements can be biased by slow changes in the laser and frequency reference. We developed an internal tracking method that measures these changes during observations and corrects the resulting wind-speed errors. Tests showed stable detection of megahertz-scale drift and good agreement with independent measurements and theoretical values. The method improves the accuracy and stability of long-term wind observations while reducing reliance on external instruments.
Share