A New Semi-Analytical MC Model for Oceanic LIDAR Inelastic Signals

Author:

Chen Su123ORCID,Chen Peng234ORCID,Ding Lei13,Pan Delu245

Affiliation:

1. Key Laboratory of Infrared System Detection and Imaging Technologies, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China

2. State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

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

4. Donghai Laboratory, Zhoushan 316021, China

5. Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou 511458, China

Abstract

The design and processing algorithm of oceanic LIDAR requires an effective lidar simulator. Currently, most simulation methods for lidar signal propagation in seawater use elastic scattering. In this study, a new semi-analytical Monte Carlo (MC) model for oceanic lidar inelastic signals is developed to investigate chlorophyll fluorescence and Raman scattering in seawater. We also used this model to simulate the echo signal of high spectral resolution lidar (HSRL) in the particulate and water molecular channels. Using this model, the effects of chlorophyll concentration, multiple scattering, receiving field of view (FOV), scattering phase function (SPF), receiver full width at half maximum (FWHM) and inhomogeneous seawater were investigated. The feasibility and effectiveness of the model were verified by the lidar equation under small and large FOVs. The results showed that chlorophyll concentration and vertical structure and multiple scattering have considerable and integrated effects on echo signals, which could provide a reference for the design of oceanic fluorescence and HSRL lidar systems and contribute to the development of processing algorithms.

Funder

National Key Research and Development Program of China

Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory

National Natural Science Foundation

Key Research and Development Program of Zhejiang Province

Donghai Laboratory Pre-research project

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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