Application of Deep Learning to Enhance the Computation of Phase Matrices of Nonspherical Atmospheric Particles Across All Size Parameters

• Published in: Journal of geophysical research. Machine learning and computation Vol. 2; no. 3
• Main Authors: Xi, Yue, Bi, Lei, Lin, Wushao
• Format: Journal Article
• Language: English
• Published: 01.09.2025

Single‐scattering properties of nonspherical particles are essential to atmospheric radiative transfer and remote sensing studies. In particular, full scattering phase matrices are indispensable for simulating polarized radiative transfer and polarimetry‐based remote sensing. However, accurately com...