Articles | Volume 20, issue 1
https://doi.org/10.5194/acp-20-303-2020
https://doi.org/10.5194/acp-20-303-2020
Research article
 | 
08 Jan 2020
Research article |  | 08 Jan 2020

The sub-adiabatic model as a concept for evaluating the representation and radiative effects of low-level clouds in a high-resolution atmospheric model

Vasileios Barlakas, Hartwig Deneke, and Andreas Macke

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Cited articles

Ackerman, A., Toon, O., Taylor, J., Johnson, D., Hobbs, P., and Ferek, R.: Effects of aerosols on cloud albedo: Evaluation of Twomey's parameterization of cloud susceptibility using measurements of ship tracks, J. Atmos. Sci., 57, 2684–2695, 2000. a, b
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. a, b
Anderson, G., Clough, S., Kneizys, F., Chetwynd, J., and Shettle, E.: AFGL Atmospheric Constituent Profiles (0–120 km), Tech. Rep. AFGL-TR-86-0110, AFGL (OPI), Hanscom AFB, MA 01736, 1986. a
Barker, H. W.: Indirect Aerosol Forcing by Homogeneous and Inhomogeneous Clouds, J. Climate, 13, 4042–4049, https://doi.org/10.1175/1520-0442(2000)013<4042:IAFBHA>2.0.CO;2, 2000. a
Barker, H. W. and Räisänen, P.: Neglect by GCMs of subgrid-scale horizontal variations in cloud-droplet effective radius: A diagnostic radiative analysis, Q. J. Roy. Meteor. Soc., 130, 1905–1920, https://doi.org/10.1256/qj.03.116, 2004. a
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By means of a high-resolution model, we demonstrated the suitability of the sub-adiabatic cloud model to serve as a conceptual tool for the evaluation of the representation of low-level clouds and to capture the relevant properties that determine the shortwave cloud radiative effect. We also highlighted the differences in cloud radiative effect resulting from different cloud microphysics schemes used in models and pointed to the need to better account for prognostic droplet number concentration.
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