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Updated: May 31, 2026

Visualizing Methane-Cycling Microbial Dynamics in Coastal Wetlands
Published on: January 31, 2025
Marine upper-tropospheric rapid particle formation dominated by methanesulfonic acid
An Ning1, Lizhuo Mao2,3, Bin Zhao2,3
1State Key Laboratory of Environment Characteristics and Effects for Near-space, Key Laboratory of Cluster Science, Ministry of Education of China, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Abstract:
New particle formation (NPF) in the marine upper troposphere sustains one of the largest global aerosol reservoirs that seeds cloud condensation nuclei in the lower troposphere, with far-reaching implications for Earth's radiative balance and climate. However, the underlying NPF mechanisms remain elusive, constituting a major uncertainty in climate projections. Here, we show that methanesulfonic acid (MSA), long considered only as a key boundary-layer precursor, dominates upper-tropospheric NPF across major oceans. Quantum-chemical and cluster dynamics simulations reveal that MSA enhances sulfuric acid (H2SO4)-ammonia (NH3) nucleation rates by 1 to 3 orders of magnitude, far surpassing the well-established nitric acid (HNO3)-H2SO4-NH3 mechanism, owing to stronger intracluster hydrogen bonds and low temperatures that stabilize clusters and render nucleation nearly barrierless. Further global three-dimensional modeling constrained by field measurements confirms that the proposed H2SO4-MSA-NH3 nucleation pathway dominates the upper-tropospheric NPF over the Pacific, Atlantic, and Indian Oceans. Notably, this pathway contributes ~40% of global nucleation-induced Aitken- and accumulation-mode aerosols at 0.5 to 4 km altitudes, where most cloud water resides, and yields a net top-of-atmosphere radiation forcing of -1.75 W m-2 (~68% of the nucleation-induced response). This study offers a detailed mechanistic insight into marine upper-tropospheric NPF and improves representation of aerosol-cloud interactions, thereby reducing uncertainties in global climate projections.
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