We develop data inversion algorithms that are used for inferring microphysical properties of aerosol pollution from remote sensing measurements and specialise in data from multiwavelength (3+2) Raman lidar and combinations of Raman lidar with Sun photometer.
We develop novel data inversion algorithms
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Our development work also includes making these algorithms available for use of data acquired with space-borne radiometers. A brief outline of the basic methodology is given for data inversion algorithms.
A historic overview on the development of the methodology for lidar applications can be found in Ansmann and Müller (2005).