Articles | Volume 20, issue 13
Atmos. Chem. Phys., 20, 7645–7665, 2020
https://doi.org/10.5194/acp-20-7645-2020
Atmos. Chem. Phys., 20, 7645–7665, 2020
https://doi.org/10.5194/acp-20-7645-2020
Research article
02 Jul 2020
Research article | 02 Jul 2020

On the relationship between cloud water composition and cloud droplet number concentration

Alexander B. MacDonald et al.

Data sets

A multi-year data set on aerosol-cloud-precipitation-meteorology interactions for marine stratocumulus clouds Sorooshian, A., MacDonald, A. B., Dadashazar, H., Bates, K. H., Coggon, M. M., Craven, J. S., Crosbie, E., Edwards, E.-L., Hersey, S. P., Hodas, N., Lin, J. J., Hossein Mardi, A., Marty, A. N., Maudlin, L. C., Metcalf, A. R., Murphy, S. M., Padro, L. T., Prabhakar, G., Rissman, T. A., Schlosser, J., Shingler, T., Varutbangkul, V., Wang, Z., Woods, R. K., Chuang, P. Y., Nenes, A., Jonsson, H. H., Flagan, R. C. and Seinfeld, J. H https://doi.org/10.6084/m9.figshare.5099983.v10

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Short summary
Understanding how humans affect Earth's climate requires understanding of how particles in the air affect the number concentration of droplets in a cloud (Nd). We use the air-equivalent mass concentration of different chemical species contained in cloud water to predict Nd. In this study we found that the prediction of Nd is (1) best described by total sulfate; (2) improved when considering up to five species; and (3) dependent on factors like turbulence, smoke presence, and in-cloud height.
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