An Algorithm of Aerosol Extinction Coefficient Retrieval from Dual-Wavelength Mie Lidar Observations

Rongrong Qin; Weiyuan Yao; Ning Wang; Beibei Zhang; Lingling Ma

doi:10.3788/LOP231265

Laser & Optoelectronics Progress, Volume. 61, Issue 5, 0501004(2024)

An Algorithm of Aerosol Extinction Coefficient Retrieval from Dual-Wavelength Mie Lidar Observations

Rongrong Qin^1,2, Weiyuan Yao^1、*, Ning Wang¹, Beibei Zhang¹, and Lingling Ma¹

¹Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

²School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

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Figures & Tables(12)

Fig. 1. Flow chart of the two-type aerosol retrieval algorithm

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Fig. 2. Monthly mean vertically integrated mass of five types aerosol in the study area of Baotou, Inner Mongolia, China, through 2011 to 2020 period

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Fig. 3. Reanalysis of dust and sulfate aerosols and simulation data dual-channel lidar signal on March 20, 2020, in Baotou, Inner Mongolia, China. (a) Mass profiles; (b) simulated aerosol extinction coefficients; (c) simulated lidar backscatter signals

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Fig. 4. Attenuated backscatter coefficient profiles for 532 nm and 1064 nm channels of the CALIOP sensor. (a) September 13, 2016; (b) May 30, 2018.

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Fig. 5. Profile retrieval accuracy of aerosol extinction coefficients in four seasons at different wavelengths. (a) 532 nm; (b) 1064 nm

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Fig. 6. Accuracy improvement of profile retrieval of aerosol extinction coefficients in Baotou region at different wavelengths. (a) 532 nm; (b) 1064 nm

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Fig. 7. Profile retrieval results of the aerosol extinction coefficients at dual-wavelength. (a) September 13, 2016; (b) May 30, 2018

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Table 1. Monthly mean aerosol optical depth at 550 nm in the study area of Baotou, Inner Mongolia, China, through 2011 to 2020 Period

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Table 1. Monthly mean aerosol optical depth at 550 nm in the study area of Baotou, Inner Mongolia, China, through 2011 to 2020 Period

AOD@550 nm	Source	Jan.	Feb.	Mar.	Apr.	May	Jun.
Dust	EAC4	0.05	0.07	0.20	0.30	0.37	0.26
Sea salt	EAC4	0.00	0.00	0.00	0.00	0.00	0.00
Black carbon	EAC4	0.01	0.01	0.01	0.01	0.01	0.01
Organic matter	EAC4	0.05	0.07	0.07	0.06	0.05	0.08
Sulfate	EAC4	0.05	0.06	0.05	0.05	0.05	0.09
Total	EAC4	0.16	0.21	0.34	0.41	0.48	0.44
Total	CE318	0.17	—	0.26	0.26	0.22	0.20
AOD@550 nm	Source	Jul.	Aug.	Sep.	Oct.	Nov.	Dec.
Dust	EAC4	0.18	0.15	0.13	0.13	0.13	0.07
Sea salt	EAC4	0.00	0.00	0.00	0.00	0.00	0.00
Black carbon	EAC4	0.01	0.01	0.01	0.01	0.00	0.00
Organic matter	EAC4	0.08	0.07	0.06	0.05	0.05	0.04
Sulfate	EAC4	0.11	0.11	0.09	0.07	0.05	0.04
Total	EAC4	0.39	0.34	0.28	0.26	0.24	0.16
Total	CE318	0.27	0.23	0.16	0.19	0.19	0.14

Table 2. Accuracy of aerosol proportion for different retrieval models in Baotou region
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Table 2. Accuracy of aerosol proportion for different retrieval models in Baotou region
Aerosol proportion Method Spring Summer Autumn Winter
RMSE Empirical estimated 0.17 0.12 0.23 0.35
Proposed method 0.16 0.11 0.22 0.35
Accuracy improvement /% — 5.88 8.33 4.35 0

Table 3. Accuracy of aerosol lidar ratio obtained at wavelength of 532 nm
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Table 3. Accuracy of aerosol lidar ratio obtained at wavelength of 532 nm
Method Spring Summer Autumn Winter
Bias of lidar ratio /Sr Empirical method 11.6 9.7 5.2 3.0
Proposed method 8.4 7.3 4.1 2.9

Table 4. Analysis of AOD retrieval accuracy for the retrieval models in Baotou region

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Table 4. Analysis of AOD retrieval accuracy for the retrieval models in Baotou region

AOD	λ /nm	Method	Spring	Summer	Autumn	Winter
RMSE	532	Empirical method	0.038	0.036	0.024	0.010
RMSE		Proposed method	0.026	0.028	0.019	0.009
Accuracy improvement /%		—	31.58	22.22	20.83	10.00
RMSE	1064	Empirical method	0.028	0.039	0.017	0.011
RMSE		Proposed method	0.027	0.038	0.016	0.011
Accuracy improvement /%		—	3.57	2.56	5.88	0

Table 5. Comparison of retrieved results of aerosol optical depth at wavelength of 532 nm
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Table 5. Comparison of retrieved results of aerosol optical depth at wavelength of 532 nm
Date AOD@532 nm
CALIOP Empirical method Proposed method
2016-09-13 0.17 0.20 0.18
2018-05-30 0.14 0.13 0.14

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Rongrong Qin, Weiyuan Yao, Ning Wang, Beibei Zhang, Lingling Ma. An Algorithm of Aerosol Extinction Coefficient Retrieval from Dual-Wavelength Mie Lidar Observations[J]. Laser & Optoelectronics Progress, 2024, 61(5): 0501004

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Paper Information

Category: Atmospheric Optics and Oceanic Optics

Received: May. 9, 2023

Accepted: May. 16, 2023

Published Online: Feb. 27, 2024

The Author Email: Weiyuan Yao (yaowy@aircas.ac.cn)

DOI:10.3788/LOP231265

CSTR:32186.14.LOP231265

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Monthly mean aerosol optical depth at 550 nm in the study area of Baotou, Inner Mongolia, China, through 2011 to 2020 Period

Table 1. Monthly mean aerosol optical depth at 550 nm in the study area of Baotou, Inner Mongolia, China, through 2011 to 2020 Period

Table 2. Accuracy of aerosol proportion for different retrieval models in Baotou region

Table 2. Accuracy of aerosol proportion for different retrieval models in Baotou region

Table 3. Accuracy of aerosol lidar ratio obtained at wavelength of 532 nm

Table 3. Accuracy of aerosol lidar ratio obtained at wavelength of 532 nm

Table 4. Analysis of AOD retrieval accuracy for the retrieval models in Baotou region

Table 4. Analysis of AOD retrieval accuracy for the retrieval models in Baotou region

Table 5. Comparison of retrieved results of aerosol optical depth at wavelength of 532 nm

Table 5. Comparison of retrieved results of aerosol optical depth at wavelength of 532 nm