Study on High Resolution Optical Turbulence Estimation Model of Marine Atmospheric Boundary Layer Using Lidar

Liming Zhu; Gang Sun; Hanjiu Zhang; Manman Xu; Duolong Chen; Shiyong Shao; Pengfei Wu; Xuebin Li

doi:10.3788/AOS202242.1201004

Acta Optica Sinica, Volume. 42, Issue 12, 1201004(2022)

Study on High Resolution Optical Turbulence Estimation Model of Marine Atmospheric Boundary Layer Using Lidar

Liming Zhu^1,2、*, Gang Sun^1、**, Hanjiu Zhang^1,3, Manman Xu¹, Duolong Chen^1,3, Shiyong Shao¹, Pengfei Wu¹, and Xuebin Li¹

Author Affiliations

¹Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, China

²Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, Anhui, China

³School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230031, Anhui, China

show less

Abstract Get PDF(in Chinese)

Figures & Tables(9)

Fig. 1. S4000 coherent Doppler wind Lidar

Download full size

Fig. 2. Comparison of boundary layer $C_{n}^{2}$ profiles with measured $C_{n}^{2}$ mean profiles under different models

Download full size

Fig. 4. Neural network model for estimating all-weather $C_{n}^{2}$ profile in boundary layer

Download full size

Table 1. Fitting functions and error analysis under different models

View table

Table 1. Fitting functions and error analysis under different models

Function and error model	Fitting function	RMSE	Correlation coefficient
Wyngaard model	$C_{n}^{2}$ =3.38×10^-13×h^-1^.²	0.2588	0.8537
Dewan outer scale model	$C_{n}^{2}$ =αM²×0.1⁴^/³×10¹^.^4210+76^.⁵³¹²^S	0.1064	0.9813
HV5/7 model	Eq. (16)	0.4832	0.7505

Table 2. Table of weather conditions on different dates
View table
Table 2. Table of weather conditions on different dates
Date Weather condition
2020-09-01 Sunny to thundershowers
2020-09-02 Cloudy to thundershowers
2020-09-04 Cloudy
2020-09-05 Sunny to cloudy
2020-09-15 Overcast to cloudy
2020-09-24 Sunny to thundershowers

Table 3. Error analysis table of lg( $C_{n}^{2}$ ) estimation on different dates

View table

Table 3. Error analysis table of lg( $C_{n}^{2}$ ) estimation on different dates

Launch date	Launch time(local time)	RMSE	MAE	R_xy
2020-10-17	22:04	0.3680	0.2989	0.9004
2020-10-18	18:29	0.7057	0.4286	0.6521
2020-10-23	08:43	0.5986	0.5359	0.8326
2020-10-25	09:52	0.3156	0.2621	0.9314
2020-10-26	08:40	0.3245	0.2708	0.9597
2020-11-02	19:23	0.5621	0.3608	0.8960

Table 4. Error analysis table of lg( $C_{n}^{2}$ ) estimation during day and night
View table
Table 4. Error analysis table of lg( $C_{n}^{2}$ ) estimation during day and night
Launch period RMSE MAE R_xy
Day 0.4332 0.3575 0.8899
Night 0.5626 0.3628 0.7673

Tools

Get Citation

Copy Citation Text

Liming Zhu, Gang Sun, Hanjiu Zhang, Manman Xu, Duolong Chen, Shiyong Shao, Pengfei Wu, Xuebin Li. Study on High Resolution Optical Turbulence Estimation Model of Marine Atmospheric Boundary Layer Using Lidar[J]. Acta Optica Sinica, 2022, 42(12): 1201004

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Atmospheric Optics and Oceanic Optics

Received: Aug. 27, 2021

Accepted: Nov. 17, 2021

Published Online: Jun. 15, 2022

The Author Email: Zhu Liming (zlm1998@mail.ustc.edu.cn), Sun Gang (gsun@aiofm.ac.cn)

DOI:10.3788/AOS202242.1201004

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Fitting functions and error analysis under different models

Table 1. Fitting functions and error analysis under different models

Table 2. Table of weather conditions on different dates

Table 2. Table of weather conditions on different dates

Table 3. Error analysis table of lg(Cn2) estimation on different dates

Table 3. Error analysis table of lg(Cn2) estimation on different dates

Table 4. Error analysis table of lg(Cn2) estimation during day and night

Table 4. Error analysis table of lg(Cn2) estimation during day and night

Table 3. Error analysis table of lg( $C_{n}^{2}$ ) estimation on different dates

Table 3. Error analysis table of lg( $C_{n}^{2}$ ) estimation on different dates

Table 4. Error analysis table of lg( $C_{n}^{2}$ ) estimation during day and night

Table 4. Error analysis table of lg( $C_{n}^{2}$ ) estimation during day and night