Cloud & Aerosol Process Studies

Datasets

Our cloud research is in the areas of cloud distribution, cloud physics, and cloud chemistry. The following datasets are associated with these journal articles:

Glassmeier, F., F. Hoffmann, J. S. Johnson, T. Yamaguchi, K. S. Carslaw and G. Feingold, submitted, 2020. supporting dataset

Yamaguchi, T., G. Feingold, and J. Kazil, Aerosol-Cloud Interactions in Trade Wind Cumulus Clouds and the Role of Vertical Wind shear, Journal of Geophysical Research, doi:10.1029/2019JD031073, 2019. supporting dataset

Feingold, G., J. Balsells, F. Glassmeier, T. Yamaguchi, J. Kazil, and A. McComiskey, Analysis of albedo versus cloud fraction relationships in liquid water clouds using heuristic models and large eddy simulation, Journal of Geophysical Research, doi:10.1002/2017JD026467, 2017. supporting dataset

Kazil, J., T. Yamaguchi, and G. Feingold, Mesoscale organization, entrainment, and the properties of a closed-cell stratocumulus cloud, Journal of Advances in Modeling Earth Systems, doi:10.1002/2017MS001072, 2017. supporting dataset

McVay, R. and B. Ervens, A microphysical parameterization of aqSOA and sulfate formation in clouds, Geophysical Research Letters, doi:10.1002/2017GL074233, 2017. supporting dataset

Yamaguchi, T., G. Feingold, and Kazil, J., Stratocumulus to cumulus transition by drizzle, Journal of Advances in Modeling Earth Systems, doi:10.1002/2017MS001104, 2017. supporting dataset