Horizontal wind velocity retrieval using a Levenberg–Marquardt algorithm for an airborne wind lidar

Jinshan Zhu; Zhigang Li; Zhishen Liu

doi:10.1117/1.JRS.10.026009

25 April 2016 Horizontal wind velocity retrieval using a Levenberg–Marquardt algorithm for an airborne wind lidar

Jinshan Zhu, Zhigang Li, Zhishen Liu

Author Affiliations +

Funded by: State Bureau of Surveying and Mapping, National Natural Science Foundation of China, National Natural Science Foundation of Shandong

Journal of Applied Remote Sensing, Vol. 10, Issue 2, 026009 (April 2016). https://doi.org/10.1117/1.JRS.10.026009

Abstract

We established a model for an airborne wind lidar. Numerical optimization algorithms should be used to solve this nonlinear model. We designed a Levenberg–Marquardt (L–M) algorithm and tested it with the modeled data. The retrieved velocity and the true velocity agree very well, and the adjusted R² is 0.99947. We have carried out an airborne coherent wind lidar experiment in January 2015, and we used the model and the L–M algorithm to process the wind lidar experiment data, and compared the retrieved results with the radiosonde wind profile. The consistency is very good, especially at an altitude above 1.8 km. We may speculate that when the atmosphere flows are not so dramatic, the lidar and the radiosonde measurements are strictly synchronous, it is possible to retrieve horizontal wind speeds and directions consistently with the radiosonde using our wind lidar model and the L–M algorithm.

Citation Download Citation

Jinshan Zhu, Zhigang Li, and Zhishen Liu "Horizontal wind velocity retrieval using a Levenberg–Marquardt algorithm for an airborne wind lidar," Journal of Applied Remote Sensing 10(2), 026009 (25 April 2016). https://doi.org/10.1117/1.JRS.10.026009

Published: 25 April 2016

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