Articles | Volume 16, issue 6
https://doi.org/10.5194/essd-16-2717-2024
https://doi.org/10.5194/essd-16-2717-2024
Data description paper
 | 
12 Jun 2024
Data description paper |  | 12 Jun 2024

IPB-MSA&SO4: a daily 0.25° resolution dataset of in situ-produced biogenic methanesulfonic acid and sulfate over the North Atlantic during 1998–2022 based on machine learning

Karam Mansour, Stefano Decesari, Darius Ceburnis, Jurgita Ovadnevaite, Lynn M. Russell, Marco Paglione, Laurent Poulain, Shan Huang, Colin O'Dowd, and Matteo Rinaldi

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Cited articles

Allan, J. D., Jimenez, J. L., Williams, P. I., Alfarra, M. R., Bower, K. N., Jayne, J. T., Coe, H., and Worsnop, D. R.: Quantitative sampling using an Aerodyne aerosol mass spectrometer – 1. Techniques of data interpretation and error analysis, J. Geophys. Res.-Atmos., 108, 4090, https://doi.org/10.1029/2002jd002358, 2003. 
Asante-Okyere, S., Shen, C. B., Ziggah, Y. Y., Rulegeya, M. M., and Zhu, X. F.: Investigating the Predictive Performance of Gaussian Process Regression in Evaluating Reservoir Porosity and Permeability, Energies, 11, https://doi.org/10.3390/en11123261, 2018. 
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Bates, T. S., Calhoun, J. A., and Quinn, P. K.: Variations in the Methanesulfonate to Sulfate Molar Ratio in Submicrometer Marine Aerosol-Particles over the South-Pacific Ocean, J. Geophys. Res.-Atmos., 97, 9859–9865, https://doi.org/10.1029/92jd00411, 1992. 
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We propose and evaluate machine learning predictive algorithms to model freshly formed biogenic methanesulfonic acid and sulfate concentrations. The long-term constructed dataset covers the North Atlantic at an unprecedented resolution. The improved parameterization of biogenic sulfur aerosols at regional scales is essential for determining their radiative forcing, which could help further understand marine-aerosol–cloud interactions and reduce uncertainties in climate models
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