2016
DOI: 10.5194/acp-16-5811-2016
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Wind speed response of marine non-precipitating stratocumulus clouds over a diurnal cycle in cloud-system resolving simulations

Abstract: Abstract. Observed and projected trends in large-scale wind speed over the oceans prompt the question: how do marine stratocumulus clouds and their radiative properties respond to changes in large-scale wind speed? Wind speed drives the surface fluxes of sensible heat, moisture, and momentum and thereby acts on cloud liquid water path (LWP) and cloud radiative properties. We present an investigation of the dynamical response of non-precipitating, overcast marine stratocumulus clouds to different wind speeds ov… Show more

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Cited by 19 publications
(16 citation statements)
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“…Possible explanations for the absence of a domain size dependence in previous studies are: (a) The dependence of entrainment and cloud water path on the grid spacing aspect ratio [ Kazil et al ., ; Pedersen et al ., ]. Duynkerke et al .…”
Section: Discussionmentioning
confidence: 99%
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“…Possible explanations for the absence of a domain size dependence in previous studies are: (a) The dependence of entrainment and cloud water path on the grid spacing aspect ratio [ Kazil et al ., ; Pedersen et al ., ]. Duynkerke et al .…”
Section: Discussionmentioning
confidence: 99%
“…The surface fluxes of momentum, heat, and moisture were calculated from the total (residual + geostrophic) wind speed based on similarity theory and contributed to the residual circulation by production of TKE due to buoyancy and shear. This is akin to moving the domain with the geostrophic wind, although its geographic location remains fixed [ Kazil et al ., ]. This setup differs from the CGILS specification in which the mean wind speed is nudged toward prescribed profiles and the surface heat and moisture flux are calculated with a dedicated formula [ Blossey et al ., , Appendix A3].…”
Section: Model and Simulationsmentioning
confidence: 99%
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“…Here these coefficients are treated as constants for computational efficiency. Instead of formulating the cloud velocity scale as function of radiative divergence (as in both Lock et al, ; Wilson, ), we have chosen the buoyancy flux within the cloud layer, as longwave emission becomes insensitive to LWP changes for thick clouds (LWP > 50 g m −2 ; Kazil et al, ). Thus, by formulating wcld as function of radiative divergence the parameterization fails to account for additional turbulence generated by latent heat releases in updrafts within in the cloud layer.…”
Section: Design Of Numerical Experimentsmentioning
confidence: 62%
“…In order to improve the parameterization of the STBL we propose a revision to the YSU scheme (YSU‐BUOY) that accounts for the skewness of top‐driven convection and parameterizes entrainment based on the in‐cloud buoyancy flux rather than radiative flux divergence as in the Wilson () YSU update. This revision results in a more robust entrainment model since longwave emission becomes insensitive to changes in LWP for thick clouds (Kazil et al, ). Similar modifications were made to the ACM2 scheme (ACM2‐BUOY) in order to explore the impact of explicitly modeling these effects.…”
Section: Discussionmentioning
confidence: 99%