Models of Sea Surface Wind Speed Retrieval by Spaceborne Lidar Data

Xinyi Zhang; Dong Wu; Zhenwei Yang; Yan He

doi:10.3788/AOS202242.1828007

Journals >Acta Optica Sinica >Volume 42 >Issue 18 >Page 1828007 > Article

Acta Optica Sinica
Vol. 42, Issue 18, 1828007 (2022)

Models of Sea Surface Wind Speed Retrieval by Spaceborne Lidar Data

Xinyi Zhang¹, Dong Wu^1、2、*, Zhenwei Yang¹, and Yan He³

Author Affiliations

¹Department of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, Shandong, China

²Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, Shandong, China

³Key Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China

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DOI: 10.3788/AOS202242.1828007 Cite this Article Set citation alerts

Xinyi Zhang, Dong Wu, Zhenwei Yang, Yan He. Models of Sea Surface Wind Speed Retrieval by Spaceborne Lidar Data[J]. Acta Optica Sinica, 2022, 42(18): 1828007 Copy Citation Text

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Comparison of CALIOP wind speed inversion values and AMSR-2 wind speed values at different times. (a)(b) October 2017; (c)(d) January 2018; (e)(f) April 2018; (g)(h) July 2018

Fig. 1. Comparison of CALIOP wind speed inversion values and AMSR-2 wind speed values at different times. (a)(b) October 2017; (c)(d) January 2018; (e)(f) April 2018; (g)(h) July 2018

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Errors between CALIOP wind speed inversion values and AMSR-2 wind speed values in different wind speed intervals. (a) Wind speed less than 3 m·s-1; (b) wind speed greater than 13 m·s-1

Fig. 2. Errors between CALIOP wind speed inversion values and AMSR-2 wind speed values in different wind speed intervals. (a) Wind speed less than 3 m·s^-1; (b) wind speed greater than 13 m·s^-1

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Time	Bias /（m·s^-1）			Standard deviation /（m·s^-1）			Correlation coefficient
Time	Gauss	GC1	GC2	Gauss	GC1	GC2	Gauss	GC1	GC2
$O c t o b e r 2017$	0.03	0.10	0.30	1.09	1.29	1.22	0.93	0.92	0.92
$J a n u a r y 2018$	-0.21	0.01	0.25	1.17	1.38	1.33	0.91	0.90	0.91
$A p r i l 2018$	-0.07	0.12	0.23	1.09	1.25	1.20	0.93	0.92	0.92
$J u l y 2018$	0.05	0.07	0.25	1.24	1.68	1.39	0.91	0.87	0.90

Table 1. Differences of nighttime sea surface wind speed retrieved by Gaussian model, GC approximation model in cloud-free condition and GC approximation model with transparent cloud layers

Time	Bias /（m·s^-1）			Standard deviation /（m·s^-1）			Correlation coefficient
Time	Gauss	GC1	GC2	Gauss	GC1	GC2	Gauss	GC1	GC2
$O c t o b e r 2017$	-0.19	-0.16	0.33	1.23	1.45	1.41	0.91	0.89	0.90
$J a n u a r y 2018$	-0.60	-0.46	0.28	1.28	1.53	1.45	0.89	0.88	0.89
$A p r i l 2018$	-0.60	-0.45	0.40	1.57	1.83	1.86	0.86	0.85	0.86
$J u l y 2018$	-0.41	-0.49	0.35	1.45	1.85	1.69	0.88	0.82	0.87

Table 2. Differences of daytime sea surface wind speed retrieved by Gaussian model, GC approximation model in cloud-free condition and GC approximation model with transparent cloud layers

Xinyi Zhang, Dong Wu, Zhenwei Yang, Yan He. Models of Sea Surface Wind Speed Retrieval by Spaceborne Lidar Data[J]. Acta Optica Sinica, 2022, 42(18): 1828007

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