How machine learning approaches are useful in computing the optical properties of non-spherical particles across a broad range of size parameters?
Article in Journal of Quantitative Spectroscopy and Radiative Transfer (September 2024)
The most recent citing publications are shown below. View all 15 publications that cite this research output on Dimensions.
ZJU-AERO V0.5: an Accurate and Efficient Radar Operator designed for CMA-GFS/MESO with the capability to simulate non-spherical hydrometeors
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Uncertainties in laboratory-measured shortwave refractive indices of mineral dust aerosols and derived optical properties: a theoretical assessment
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