Park, S-B, Boeing, S and Gentine, P (2018) Role of surface friction on shallow nonprecipitating convection. Journal of the Atmospheric Sciences, 75. pp. 163-178. ISSN 0022-4928
Abstract
The role of surface friction on shallow nonprecipitating convection is investigated using a series of large-eddy simulations with varying surface friction velocity and with a cloud identification algorithm. As surface friction intensifies, convective rolls dominate over convective cells and secondary overturning circulation becomes stronger in the subcloud layer, thus transporting more moisture upward and more heat downward between the subcloud and cloud layers. Identifying individual clouds, using the identification algorithm based on a three-dimensional topological analysis, reveals that intensified surface friction increases the number of clouds and the degree of tilting in the downstream direction. Highly intensified surface friction increases wind shear across the cloud base and induces cloud tilting, which leads to a vertically parabolic profile of liquid water mixing ratio instead of the classical two-layer structure (conditionally unstable and trade inversion layers). Furthermore, cloud tilting induces more cloud cover and more cloud mass flux much above the cloud base (e.g. 0.8 km < z < 1.2 km), but less cloud cover and less cloud mass flux in the upper cloud layer (e.g. z > 1.2 km) because of increased lateral entrainment rate. Similarly, profiles of directly measured entrainment and detrainment rates show that detrainment in the lower cloud layer becomes smaller with stronger surface friction.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2018, American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses). |
Keywords: | Cloud tracking/cloud motion winds; Convective clouds; Mass fluxes/transport; Cloud resolving models; Cumulus clouds; Large eddy simulations |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds) |
Funding Information: | Funder Grant number NERC NE/N013840/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Nov 2017 16:54 |
Last Modified: | 21 May 2019 15:42 |
Status: | Published |
Publisher: | American Meteorological Society |
Identification Number: | 10.1175/JAS-D-17-0106.1 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:123484 |