Abstract
Correlation relationships between aerosol microphysical parameters and optical data are investigated. The results show that surface-area concentrations and extinction coefficients are linearly correlated with a correlation coefficient above 0.99 for arbitrary particle size distribution . The correlation relationships that we obtained can be used as constraints in our inversion of optical lidar data. Simulation studies demonstrate a significant stabilization of aerosol microphysical data products if we apply the gradient correlation method in our traditional regularization technique.
Highlights
Several approaches for the retrieval of particle microphysical parameters from multiwavelength lidar measurements were developed in the past years [1,2,3]
If we use all values stored in the synthetic optical data (SOD) bank we find for the regression coefficients (RC): as 1.7 and bs -0.08
We presented the novel method of gradient correlation method (GCM) for the stabilization of particle microphysical parameters (PMP) retrieved from profiles of optical data taken with lidar
Summary
Several approaches for the retrieval of particle microphysical parameters from multiwavelength lidar measurements were developed in the past years [1,2,3]. If the profiles of the optical data (OD) do not change, in other words the profile gradient is close to 0, we can expect that profiles of particle microphysical parameters (PMP) do not vary significantly either. On the contrary if the OD profiles show variations, i.e., the “gradient” profile differs from 0, we can expect that the PMP vary with height, too. In this contribution we investigated which correlations between lidar optical data and particle microphysical parameters exist and if these correlations can be used in our inversion methodology for improving the microphysical data products.
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