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Global variability in atmospheric new particle formation mechanisms
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Global variability in atmospheric new particle formation mechanisms
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Global variability in atmospheric new particle formation mechanisms
Global variability in atmospheric new particle formation mechanisms
Journal Article

Global variability in atmospheric new particle formation mechanisms

2024
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Overview
A key challenge in aerosol pollution studies and climate change assessment is to understand how atmospheric aerosol particles are initially formed 1 , 2 . Although new particle formation (NPF) mechanisms have been described at specific sites 3 – 6 , in most regions, such mechanisms remain uncertain to a large extent because of the limited ability of atmospheric models to simulate critical NPF processes 1 , 7 . Here we synthesize molecular-level experiments to develop comprehensive representations of 11 NPF mechanisms and the complex chemical transformation of precursor gases in a fully coupled global climate model. Combined simulations and observations show that the dominant NPF mechanisms are distinct worldwide and vary with region and altitude. Previously neglected or underrepresented mechanisms involving organics, amines, iodine oxoacids and HNO 3 probably dominate NPF in most regions with high concentrations of aerosols or large aerosol radiative forcing; such regions include oceanic and human-polluted continental boundary layers, as well as the upper troposphere over rainforests and Asian monsoon regions. These underrepresented mechanisms also play notable roles in other areas, such as the upper troposphere of the Pacific and Atlantic oceans. Accordingly, NPF accounts for different fractions (10–80%) of the nuclei on which cloud forms at 0.5% supersaturation over various regions in the lower troposphere. The comprehensive simulation of global NPF mechanisms can help improve estimation and source attribution of the climate effects of aerosols. Molecular-level experiments are described to develop a detailed assessment of 11 new particle formation mechanisms in a global climate model and, in comparison with simulations and observations, the dominant mechanisms worldwide are mapped.