Code and data for "Deep-GF-PRM: A physics-informed deep learning framework for parameterizing aerosol hygroscopic growth factor probability density function"

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Authors: Huiping Lu, Jiaoshi Zhang
Cited by: 0

Abstract

Derivation of aerosol GF-PDF usingTwomey's algorithm and deep learning method.

Fields of Study & Subjects

Atmospheric chemistry and aerosols Atmospheric aerosols and clouds Meteorological Phenomena and Simulations

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 February 2026