Screening method of sea surface signals based on CALIOP dual-wavelength data

LUO Dunyi; WU Dong; HE Yan

doi:10.3969/j.issn.1673-6141.2024.03.009

Journals >Journal of Atmospheric and Environmental Optics >Volume 19 >Issue 3 >Page 371 > Article

Journal of Atmospheric and Environmental Optics
Vol. 19, Issue 3, 371 (2024)

Screening method of sea surface signals based on CALIOP dual-wavelength data

LUO Dunyi^1,*, WU Dong^1,2, and HE Yan³

Author Affiliations

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

²Laboratory for Regional Oceanography and Numerical Modeling, Qingdao Laboratory forMarine Science and Technology, Qingdao 266237, China

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

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DOI: 10.3969/j.issn.1673-6141.2024.03.009 Cite this Article

Dunyi LUO, Dong WU, Yan HE. Screening method of sea surface signals based on CALIOP dual-wavelength data[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(3): 371 Copy Citation Text

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Fig. 1. Relationship of backscattering coefficients on sea surface of 1064 nm and 532 nm channels

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Wind speed accuracy of CALIOP sea surface signal inversion under different thresholds in January 2018 and total utilization curve of data within the threshold range from January to September 2018. (a) Bias; (b) standard deviation; (c) correlation coefficient; (d) availability

Fig. 2. Wind speed accuracy of CALIOP sea surface signal inversion under different thresholds in January 2018 and total utilization curve of data within the threshold range from January to September 2018. (a) Bias; (b) standard deviation; (c) correlation coefficient; (d) availability

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Fig. 3. Density plots of the CALIOP lidar 532 nm pulsed laser sea surface backscatter coefficient γ versus synchronously matched AMSR-2 sea surface wind speed U before and after screening in January 2018. (a) Before screening; (b) after screening

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Fig. 4. Error plots of CALIOP inversion values before and after screening with AMSR-2 wind speed values for different wind speed intervals from January to March 2018. (a) Pre-screening; (b) after screening

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Fig. 5. Wind speed inversion errors in cloudy and cloudless conditions in January 2018. (a) Cox-Munk model; (b) Hu model

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Month	Data volume		Bias/(m·s^-1)		Standard deviation/(m·s^-1)		Correlation coefficient
Month	Total	Cloud	Cox-Munk	Hu	Cox-Munk	Hu	Cox-Munk	Hu
2018-01	3663475	726736	0.15	-0.13	1.14	1.17	0.90	0.91
2018-02	3730894	906364	0.24	-0.10	1.18	1.19	0.91	0.91
2018-03	4175697	957840	0.26	-0.07	1.16	1.17	0.91	0.91
2018-04	3855166	863089	0.33	0	1.16	1.17	0.91	0.91
2018-05	3997104	886406	0.38	0.07	1.22	1.23	0.90	0.91
2018-06	3987041	801754	0.29	-0.02	1.22	1.25	0.91	0.91
2018-07	3848866	755586	0.29	0.04	1.28	1.34	0.89	0.90
2018-08	3224770	605247	0.41	0.13	1.28	1.38	0.90	0.90
2018-09	1615174	322592	0.50	0.16	1.20	1.25	0.91	0.91

Table 1. Error and correlation between wind speed inversion from CALIOP sea surface echo data and AMSR-2 sea surface wind speed based on Cox-Munk and Hu empirical relationship by screening method in this paper

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Month	Data volume	Bias/(m·s^-1)		Standard deviation/(m·s^-1)		Correlation coefficient
Month	Data volume	Cox-Munk	Hu	Cox-Munk	Hu	Cox-Munk	Hu
2018-01	2500925	0.37	0.14	1.10	1.18	0.92	0.92
2018-02	2448239	0.45	0.17	1.17	1.24	0.91	0.91
2018-03	2789779	0.48	0.20	1.14	1.20	0.91	0.92
2018-04	2590628	0.49	0.22	1.14	1.20	0.91	0.91
2018-05	2724147	0.56	0.31	1.19	1.24	0.91	0.91
2018-06	2770250	0.53	0.28	1.23	1.34	0.90	0.91
2018-07	2756715	0.56	0.36	1.32	1.44	0.89	0.89
2018-08	2348863	0.63	0.40	1.28	1.42	0.90	0.90
2018-09	1120408	0.69	0.41	1.17	1.26	0.91	0.92

Table 2. Error and correlation between wind speed inversion from CALIOP sea surface echo data and AMSR-2 sea surface wind speed based on Cox-Munk and Hu empirical relationship by screening method of Wu et al^[7]

Dunyi LUO, Dong WU, Yan HE. Screening method of sea surface signals based on CALIOP dual-wavelength data[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(3): 371

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