Mie lidar has been profoundly applied in the retrieval of aerosol optical coefficients in vertical distribution. However, few studies further explore the strategies for the retrieval of aerosol mass profiles quantitively from lidar observation. To meet the rising demand of aerosol mass concentration in spatial and temporal distribution, an iteration algorithm for profiling aerosol mass composition as well as extinction coefficient based on spaceborne dual-wavelength lidar data is proposed. By constructing the relationship between mixed aerosol mass profiles and optical properties at different wavelengths, new constraints are induced to improve the accuracy of lidar ratio. Meanwhile, aerosol composition profiles can also be deduced based on the a prior estimation of aerosol compositions and intrinsic optical features of the aerosols. This method has been verified by simulated lidar signals and CALIOP data, suggesting potential applicability in satellite data processing.
|