Articles | Volume 20, issue 8
Atmos. Chem. Phys., 20, 4637–4665, 2020
https://doi.org/10.5194/acp-20-4637-2020
Atmos. Chem. Phys., 20, 4637–4665, 2020
https://doi.org/10.5194/acp-20-4637-2020
Research article
21 Apr 2020
Research article | 21 Apr 2020

Stratocumulus cloud clearings: statistics from satellites, reanalysis models, and airborne measurements

Hossein Dadashazar et al.

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Cited articles

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Albrecht, B. A., Fairall, C. W., Thomson, D. W., White, A. B., Snider, J. B., and Schubert, W. H.: Surface-Based Remote-Sensing of the Observed and the Adiabatic Liquid Water-Content of Stratocumulus Clouds, Geophys. Res. Lett., 17, 89–92, https://doi.org/10.1029/GL017i001p00089, 1990. 
Albrecht, B. A., Jensen, M. P., and Syrett, W. J.: Marine Boundary-Layer Structure and Fractional Cloudiness, J. Geophys. Res.-Atmos., 100, 14209–14222, https://doi.org/10.1029/95JD00827, 1995. 
Beardsley, R. C., Dorman, C. E., Friehe, C. A., Rosenfeld, L. K., and Winant, C. D.: Local Atmospheric Forcing during the Coastal Ocean Dynamics Experiment 1. A Description of the Marine Boundary-Layer and Atmospheric Conditions over a Northern California Upwelling Region, J. Geophys. Res.-Oceans, 92, 1467–1488, https://doi.org/10.1029/JC092iC02p01467, 1987. 
Bennartz, R.: Global assessment of marine boundary layer cloud droplet number concentration from satellite, J. Geophys. Res.-Atmos., 112, D02201, https://doi.org/10.1029/2006JD007547, 2007. 
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Clearings in the marine-boundary-layer (MBL) cloud deck of the Pacific Ocean were studied. Remote sensing, reanalysis, and airborne data were used along with machine-learning modeling to characterize the spatiotemporal nature of clearings and factors governing their growth. The most significant implications of our results are linked to modeling of fog and MBL clouds, with implications for societal and environmental issues like climate, military operations, transportation, and coastal ecology.
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