Observationally constrained analysis of sulfur cycle in the marine atmosphere with NASA ATom measurements and AeroCom model simulations

Bian, H., M. Chin, P.R. Colarco, E.C. Apel, D.R. Blake, K.D. Froyd, R.S. Hornbrook, J. Jimenez, P.C. Jost, M. Lawler, M. Liu, M. Lund, H. Matsui, B.A. Nault, J. Penner, A.W. Rollins, G. Schill, R.B. Skeie, H. Wang, L. Xu, K. Zhang, and J. Zhu (2024), Observationally constrained analysis of sulfur cycle in the marine atmosphere with NASA ATom measurements and AeroCom model simulations, Atmos. Chem. Phys., doi:10.5194/acp-24-1717-2024.
Abstract

The atmospheric sulfur cycle plays a key role in air quality, climate, and ecosystems, such as pollution, radiative forcing, new particle formation, and acid rain. In this study, we compare the spatially and temporally resolved measurements from the NASA Atmospheric Tomography (ATom) mission with simulations from five AeroCom III models for four sulfur species (dimethyl sulfide (DMS), sulfur dioxide (SO2 ), particulate methanesulfonate (MSA), and particulate sulfate (SO4 )). We focus on remote regions over the Pacific, Atlantic, and Southern oceans from near the surface to ∼ 12 km altitude range covering all four seasons. In general, the differences among model results can be greater than 1 order of magnitude. Comparing with observations, model-simulated SO2 is generally low, whereas SO4 is generally high. Simulated DMS concentrations

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