Articles | Volume 21, issue 12
https://doi.org/10.5194/acp-21-9629-2021
https://doi.org/10.5194/acp-21-9629-2021
Research article
 | 
28 Jun 2021
Research article |  | 28 Jun 2021

Identifying meteorological influences on marine low-cloud mesoscale morphology using satellite classifications

Johannes Mohrmann, Robert Wood, Tianle Yuan, Hua Song, Ryan Eastman, and Lazaros Oreopoulos

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Cited articles

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Bretherton, C. S. and Blossey, P. N.: Understanding Mesoscale Aggregation of Shallow Cumulus Convection Using Large-Eddy Simulation, J. Adv. Model. Earth Syst., 9, 2798–2821, https://doi.org/10.1002/2017MS000981, 2017. 
Bretherton, C. S. and Khairoutdinov, M. F.: Convective self-aggregation feedbacks in near-global cloud-resolving simulations of an aquaplanet, J. Adv. Model. Earth Syst., 7, 1765–1787, https://doi.org/10.1002/2015MS000499, 2015. 
Chen, T., Rossow, W. B., and Zhang, Y.: Radiative Effects of Cloud-Type Variations, J. Climate, 13, 264–286, https://doi.org/10.1175/1520-0442(2000)013<0264:REOCTV>2.0.CO;2, 2000. 
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Observations of marine-boundary-layer conditions are composited by cloud type, based on a new classification dataset. It is found that two cloud types, representing regions of clustered and suppressed low-level clouds, occur in very similar large-scale conditions but are distinguished from each other by considering low-level circulation and surface wind fields, validating prior results from modeling.
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