Abstract
The light scattering and radiation properties of aerosols are mainly dominated by hygroscopicity. In this study, the relationship between the wavelength dependent ratio of lidar scattering signals (color ratio) and relative humidity and the application of the color ratio to identify the cloud base is examined.
Highlights
Changes in aerosol scattering properties can highly influence the Earth’s climate by affecting the Earth’s radiation budget
In previous studies we already noticed that the interrelationship between the aerosol Angstrom exponent and particle depolarization can reveal information on particle size and shape [2]
It was reported that the aerosol hygroscopicity might be the reason for the observed distortion in the linear correlation between Angstrom exponent and particle depolarization
Summary
Changes in aerosol scattering properties can highly influence the Earth’s climate by affecting the Earth’s radiation budget. The aerosol particles may absorb moisture from the surrounding air and increase their size causing significant change in their size distribution and their associated optical and microphysical properties[1]. In previous studies we already noticed that the interrelationship between the aerosol Angstrom exponent and particle depolarization can reveal information on particle size and shape [2]. It was reported that the aerosol hygroscopicity might be the reason for the observed distortion in the linear correlation between Angstrom exponent and particle depolarization. We try to combine Mie scattering theory and Kohler theory to study the effect of aerosol hygroscopicity on PBL profiles. We try to use the lidar color ratio (CR) as indicator of particle size to investigate the inter-relationship between color ratio, hygroscopicity (κ), and relative humidity
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