Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical a Priori Information in Deep Learning

Overview

Global estimation of fine particulate matter (PM₂.₅) concentrations with deep learning that incorporates geophysical a priori information.

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Reference and citation

Siyuan Shen, Chi Li, Aaron van Donkelaar, Nathan Jacobs, Chenguang Wang, Randall V. Martin: Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical a Priori Information in Deep Learning. ACS ES&T Air, 1(5), 332–345 (2024). https://doi.org/10.1021/acsestair.3c00054

Related dataset: Global Satellite-derived PM₂.₅ (V6.GL)