Paper
26 July 2024 Atmospheric optical turbulence profile measurement and parametric model validation
Wenjie Luo, Yilei Ge, Yong Li, Min Li, Yanna Li, Wei Yan
Author Affiliations +
Proceedings Volume 13189, Second Conference on Space, Atmosphere, Marine, and Environmental Optics (SAME 2024); 131890S (2024) https://doi.org/10.1117/12.3032601
Event: Second Conference on Space, Atmosphere, Marine, and Environmental Optics (SAME 2024), 2024, Hangzhou, China
Abstract
The present study utilizes a turbulence radiosonde to obtain profiles of atmospheric temperature, pressure, wind field, and optical turbulence at different time periods in the northwest region of China. Three turbulence parametric models based on Tatarski theory (Dewan model, Kondo model, and HMNSP99 model) are selected for comparison and validation with measured turbulence profiles. According to the radiosonde data, wind shear, potential temperature gradient and Richardson number are calculated, and the corresponding relationship between them and the measured C2n (atmospheric refractive index structure constant) profile is analyzed, which confirms the feasibility of Tatarski theory in the local area. The C2n profiles calculated by the three models were compared with the measured C2n profiles at different time periods. The results show that Tatarski theory has a large error in the estimation of nearsurface layer and boundary layer turbulence, but has a better estimation effect on the free atmosphere turbulence dominated by wind shear. We also analyze the applicability and limitations of the three models, and the results of root mean squared error (RMSE) and correlation coefficient (Rxy) show that the HMNSP99 model has the best application effect in this area, which provides method verification for the application research of atmospheric optical turbulence model in typical region.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Wenjie Luo, Yilei Ge, Yong Li, Min Li, Yanna Li, and Wei Yan "Atmospheric optical turbulence profile measurement and parametric model validation", Proc. SPIE 13189, Second Conference on Space, Atmosphere, Marine, and Environmental Optics (SAME 2024), 131890S (26 July 2024); https://doi.org/10.1117/12.3032601
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Atmospheric modeling

Turbulence

Data modeling

Atmospheric optics

Optical turbulence

Back to Top