Preprints
https://doi.org/10.5194/egusphere-2026-3895
https://doi.org/10.5194/egusphere-2026-3895
24 Aug 2026
 | 24 Aug 2026
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

Measurement Methods and Applications of Atmospheric Refractivity Based on Raman Lidar

Yushang Wu, Xiaofeng Zhao, Zeming Zhou, Pinglv Yang, Deyang Li, Menglong Zhou, Kaijun Tu, Bo Wang, and Zhijin Qiu

Abstract. Atmospheric refractive index stratification significantly affects the propagation of electromagnetic waves. High-vertical-resolution atmospheric refractivity (N) data acquired within the near-surface layer can be used to effectively evaluate the operational effectiveness of electronic equipment. On the basis of the principle of Raman scattering, an N measuring instrument utilizing Raman lidar was designed. It achieves high-vertical-resolution detection of temperature and humidity profiles within the 2.4 to 120 m altitude range and calculates the N on the basis of these data via the hypsometric formula. A field comparison test was conducted in 10 to 26 January 2024 LT using layered observation data from a gradient tower. The overall root mean square error (RMSE) of the Raman lidar for air temperature (AT) and relative humidity (RH) detection were 0.50 °C and 3.11 %, respectively; the overall RMSE for N detection was 2.65 N-units. With respect to the altitude layer, the AT, RH, and N detection mean absolute error (MAE) ranged from 0.34 to 0.54 °C, 1.90 to 3.53 %, and 1.87 to 2.35 N-units, respectively. This research provides an effective method for measuring the N.

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Yushang Wu, Xiaofeng Zhao, Zeming Zhou, Pinglv Yang, Deyang Li, Menglong Zhou, Kaijun Tu, Bo Wang, and Zhijin Qiu

Status: open (until 29 Sep 2026)

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Yushang Wu, Xiaofeng Zhao, Zeming Zhou, Pinglv Yang, Deyang Li, Menglong Zhou, Kaijun Tu, Bo Wang, and Zhijin Qiu
Yushang Wu, Xiaofeng Zhao, Zeming Zhou, Pinglv Yang, Deyang Li, Menglong Zhou, Kaijun Tu, Bo Wang, and Zhijin Qiu
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Latest update: 24 Aug 2026
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Short summary
Radio and radar systems depend heavily on atmospheric refractivity. Traditional measurement tools like weather balloons are costly and limited. To solve this, we developed a Raman lidar system that remotely measures air temperature, relative humidity, and atmospheric refractivity by analyzing how light interacts with air molecules. Tests against a weather tower proved this system is highly accurate. This system provides real-time data to significantly improve radar and communication networks.
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