Clouds, Aerosol, & Climate: Data Sets

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

2022

Diamond, M., J. Gristey, and G. Feingold, Earth's observed hemispheric albedo symmetry by cloud type: Climatology, trends, and tests of cloud adjustment hypotheses, Geophysical Research Letters, 2022. supporting dataset

Diamond, M.S., J.J. Gristey, J.E. Kay, and G. Feingold, Anthropogenic aerosol and cryosphere changes drive Earth's strong but transient clear-sky hemispheric albedo asymmetry, Communications Earth & Environment, doi:10.1038/s43247-022-00546-y, 2022. supporting dataset

Diamond, M.S., P.E. Saide, P. Zuidema, A.S. Ackerman, S.J. Doherty, A.M. Fridlind, H. Gordon, C. Howes, J. Kazil, T. Yamaguchi, J. Zhang, G. Feingold, and R. Wood, Cloud adjustments from large-scale smoke-circulation interactions strongly modulate the southeast Atlantic stratocumulus-to-cumulus transition, Atmospheric Chemistry and Physics, 2022. supporting dataset

Goren, T., G. Feingold, E. Gryspeerdt, J. Kazil, H. Jia, J. Kretzschmar, and J. Quaas, Projecting stratocumulus transitions on the albedo - Cloud fraction relationship reveals linearity of albedo to droplet concentrations, Geophysical Research Letters, 2022. supporting dataset

Yoshida, R., T. Yamaguchi, and G. Feingold, Two-dimensional idealized Hadley circulation simulation for global high resolution model development, Journal of Advances in Modeling Earth Systems, doi:10.1029/2021MS002714, 2022. supporting dataset

Jianhao Zhang and Graham Feingold, Distinct regional meteorological influences on low cloud albedo susceptibility over global marine stratocumulus regions, Geophysical Research Letters, 2022. supporting dataset

2021

Chen, Y.-S., T. Yamaguchi, P.A. Bogenschutz, and G. Feingold, Model evaluation and intercomparison for marine warm low cloud fractions with neural network ensembles, Journal of Advances in Modeling Earth Systems, doi:10.1029/2021MS002625, 2021. supporting dataset

Kazil, J., M. Christensen, S. Abel, T. Yamaguchi, and G. Feingold, Realism of Lagrangian large eddy simulations: Tracking a pocket of open cells under a biomass burning aerosol layer, Journal of Advances in Modeling Earth Systems, doi:10.1029/2021MS002664, 2021. supporting dataset

Glassmeier, F., F. Hoffmann, J.S. Johnson, T. Yamaguchi, K.S. Carslaw, and G. Feingold, Aerosol-cloud-climate cooling overestimated by ship-track data, Science, doi:0.1126/science.abd3980, 2021. supporting dataset

Narenpitak, P., J. Kazil, T. Yamaguchi, P. Quinn, and G. Feingold, From sugar to flowers: A transition of shallow cumulus organization during ATOMIC, Journal of Advances in Modeling Earth Systems, submitted, 2021. supporting dataset

2019

Goren, T., Kazil, J., Hoffmann, F., Yamaguchi, T., and Feingold, G., Anthropogenic air pollution delays marine stratocumulus breakup to open cells, Geophysical Research Letters, doi:10.1029/2019GL085412, 2019. 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

2017

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