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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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https://doi.org/10.5194/amt-2017-206
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
26 Sep 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).
Shipborne Wind Measurement and Motion-induced Error Correction by Coherent Doppler Lidar over Yellow Sea in 2014
Xiaochun Zhai1, Songhua Wu1,2, Bingyi Liu1,2, Xiaoquan Song1,2, and Jiaping Yin3 1Ocean Remote Sensing Institute, Ocean University of China, Qingdao, 266100, China
2Laboratory for Regional Oceanography and Numerical Modelling, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266100, China
3Seaglet E nvironmental Technology, Qingdao, 266100, China
Abstract. Shipborne wind observations by the Coherent Doppler Lidar (CDL) have been conducted to study the structure of the Marine Atmospheric Boundary Layer (MABL) during the 2014 Yellow Sea campaign. This paper evaluates uncertainties associated with the ship motion and presents the correction methodology regarding lidar velocity measurement based on modified 4-Doppler Beam Swing (DBS) solution. The errors of calibrated measurement, both for the anchored and the cruising shipborne observations, are comparable to those of ground-based measurements. The comparison between the lidar and radiosonde gives the bias −0.1 ms−1 and the standard deviation 0.75 ms−1 for the wind speed measurement, and shows the bias and the standard deviation for the wind direction measurement. The biases and random errors of horizontal wind speed are also estimated using the error propagation theory and frequency spectrum analysis, respectively. The results show that the biases are mainly related to the measuring error of the ship velocity, and lidar pointing error and the random errors are mainly determined by the Signal-to-Noise Ratio (SNR) of lidar backscattering spectral signal. It allows for the retrieval of vertical wind, based on one measurement, with random error below 0.15 ms−1 for appropriate SNR threshold and bias below 0.02 ms−1. The combination of the CDL attitude correction system and the accurate motion correction process has the potential of continuous long-term high temporal and spatial resolution measurement for MABL thermodynamic and turbulence process.

Citation: Zhai, X., Wu, S., Liu, B., Song, X., and Yin, J.: Shipborne Wind Measurement and Motion-induced Error Correction by Coherent Doppler Lidar over Yellow Sea in 2014, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2017-206, in review, 2017.
Xiaochun Zhai et al.
Xiaochun Zhai et al.
Xiaochun Zhai et al.

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Short summary
A Doppler wind lidar attitude correction method was presented. This algorithm-based method relaxes the requirements for mechanical stability and active compensation mechanisms. A shipborne wind measurement campaign was carried out in the Yellow Sea, 2014. The comparison between lidar and radiosonde wind measurements show good consistency, indicating that this method can provide continuous and high spatiotemporal-resolution measurement of atmospheric turbulence process in Marine boundary layer.
A Doppler wind lidar attitude correction method was presented. This algorithm-based method...
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