Retrieval of aerosol properties from in situ, multi-angle light scattering measurements using invertible neural networks
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DOI: 10.1016/j.jaerosci.2022.105977
Abstract: Atmospheric aerosols have a major influence on the earth’s climate and public health. Hence, studying their properties and recovering them from light scattering measurements is of great importance. State of the art retrieval methods such… read more here.
Keywords: neural networks; scattering measurements; using invertible; aerosol properties ... See more keywords