Abstract

The detection of clouds and aerosols is important for climate research. Lidar has been widely used in atmospheric remote sensing research because of its high spatial and temporal resolution and ability to detect profiles. High spectral resolution lidar (HSRL) accurately calculates the optical properties of aerosols and clouds without relying on any assumptions. Based on the 532nm iodine HSRL system, the lidar ratio of the urban aerosol in Hangzhou is 40-50sr, and the average lidar ratio of the cirrus is 24.79sr, demonstrating that the HSRL system and retrieval algorithms accurately obtain the optical properties of clouds and aerosols.

Highlights

  • Aerosols and clouds play an important role in global and local climate and becoming two of the largest uncertainty sources in climate sensitivity research [1, 2]

  • The high spectral resolution lidar (HSRL) system cleverly uses the spectral difference of the lidar echo signals to separate the aerosol return from the molecular return through a spectral discriminator with high spectral resolution, so the extinction coefficient and lidar ratio can be accurately measured

  • This paper briefly introduces the principle of retrieval and describes the process of data retrieval to obtain the optical properties of atmospheric aerosols in detail

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Summary

INTRODUCTION

Aerosols and clouds play an important role in global and local climate and becoming two of the largest uncertainty sources in climate sensitivity research [1, 2]. Aerosols directly affect the solar and terrestrial radiation in the atmosphere by scattering and absorbing light, influencing the Earth's radiation budget, while clouds play a major role in determining The Earth’s climate [3]. The acquisition of cloud and aerosol optical parameters and vertical profile information is of great significance for atmospheric research. Lidar, regarded as the only means to obtain the vertical profile distribution characteristics of clouds and aerosols, has been widely used. The traditional lidar cannot directly calculate the extinction coefficient. Raman lidar and high spectral resolution lidar (HSRL) can accurately invert the extinction coefficient without any assumptions. The HSRL system cleverly uses the spectral difference of the lidar echo signals to separate the aerosol return from the molecular return through a spectral discriminator with high spectral resolution, so the extinction coefficient and lidar ratio can be accurately measured. This paper briefly introduces the principle of retrieval and describes the process of data retrieval to obtain the optical properties of atmospheric aerosols in detail

The principle of retrieval
Retrieval algorithm and process
RESULTS
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