Articles | Volume 18, issue 21
Atmos. Chem. Phys., 18, 16099–16119, 2018
https://doi.org/10.5194/acp-18-16099-2018
Atmos. Chem. Phys., 18, 16099–16119, 2018
https://doi.org/10.5194/acp-18-16099-2018

Research article 08 Nov 2018

Research article | 08 Nov 2018

Is there an aerosol signature of chemical cloud processing?

Barbara Ervens et al.

Data sets

Deep Convective Clouds & Chemistry DC3 https://www-air.larc.nasa.gov/missions/dc3-seac4rs/index.html

Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys SEAC4RS https://www-air.larc.nasa.gov/missions/seac4rs/

Contrasting aerosol refractive index and hygroscopicity in the inflow and outflow of deep convective storms: Analysis of airborne data from DC3 A. Sorooshian, T. Shingler, E. Crosbie, M. C. Barth, C. R. Homeyer, P. Campuzano-Jost, D. A. Day, J. L. Jimenez, K. L. Thornhill, L. D. Ziemba, D. R. Blake, and A. Fried https://doi.org/10.1002/2017JD026638

A multi-year data set on aerosol-cloud-precipitation-meteorology interactions for marine stratocumulus clouds A. Sorooshian, A. B. MacDonald, H. Dadashazar, K. H. Bates, M. M. Coggon, J. S. Craven, E. Crosbie, S. P. Hersey, N. Hodas, J. J. Lin, A. N. Marty, L. C. Maudlin, A. R. Metcalf, S. M. Murphy, L. T. Padro, G., Prabhakar, T. A. Rissman, T. Shingler, V. Varutbangkul, Z. Wang, R. K. Woods, P. Y. Chuang, A. Nenes, H. H. Jonsson, R. C. Flagan, and J. H. Seinfeld https://doi.org/10.6084/m9.figshare.5099983.v3

A multi-year data set on aerosol-cloud-precipitation-meteorology interactions for marine stratocumulus clouds A. Sorooshian, A. B. MacDonald, H. Dadashazar, K. H. Bates, M. M. Coggon, J. S. Craven, E. Crosbie, S. P. Hersey, N. Hodas, J. J. Lin, A. N. Marty, L. C. Maudlin, A. R. Metcalf, S. M. Murphy, L. T. Padro, G. Prabhakar, T. A. Rissman, T. Shingler, V. Varutbangkul, Z. Wang, R. K. Woods, P. Y. Chuang, A. Nenes, H. H. Jonsson, R. C. Flagan, and J. H. Seinfeld https://doi.org/10.1038/sdata.2018.26

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Short summary
The paper presents a new framework that can be used to identify emission scenarios in which aerosol populations are most likely modified by chemical processes in clouds. We show that in neither very polluted nor in very clean air masses is this the case. Only if the ratio of possible aerosol mass precursors (sulfur dioxide, some organics) and preexisting aerosol mass is sufficiently high will aerosol particles show substantially modified physicochemical properties upon cloud processing.
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