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Abstract
Recent observational studies of tropical deep convection typically include some mention of cumulus congestus, a third mode of tropical convection, in addition to shallow trade cumulus and deep convection. This study analyzes congestus behavior in a multiday cloud-resolving model simulation based on the Tropical Ocean-Global Atmosphere Coupled Ocean-Atmosphere Response Experiment (TOGA COARE) field campaign. Simulation results exhibit a pronounced congestus cloud mode, present during both suppressed and active phases of the intraseasonal oscillation (ISO), with a unique signature consistent with cloudy-air detrainment near the 0°C isotherm. Congestus clouds in the simulation contribute 34% of the total precipitation during a 10 day transition period from suppressed to active phases, a number which corresponds well with previous estimates of the congestus contribution to precipitation. Domain-mean profiles and statistics from conditionally sampled buoyant cloud cores are compared with similar quantities from a recent model intercomparison of RICO trade cumulus. In many respects, cumulus congestus act like overgrown trade cumulus clouds. Both cloud types demonstrate multiple cloud fraction maxima associated with cloud base and detrainment layers. Profiles of buoyancy flux and vertical velocity variance suggest that the buoyancy production of turbulence behaves similarly in both cloud types. The greater precipitation production in the simulated congestus clouds nearly balances the surface latent heat flux, and thus the congestus contribution to moistening the atmosphere is limited. The computational configuration is a compromise between providing both sufficient resolution to represent shallow cumulus and sufficient domain size to handle broader, deep convective clouds.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Atmospheric Science Program, Department of Geography, University of Kansas, Lawrence, Kansas, USA
2 Atmospheric Science Program, Department of Geography, University of Kansas, Lawrence, Kansas, USA; Department of Meteorology, Pennsylvania State University, State College, Pennsylvania, USA




