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Large-eddy Simulation of Organized Precipitating Trade Wind Cumulus Clouds : Volume 13, Issue 1 (17/01/2013)

By Seifert, A.

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Book Id: WPLBN0003992507
Format Type: PDF Article :
File Size: Pages 35
Reproduction Date: 2015

Title: Large-eddy Simulation of Organized Precipitating Trade Wind Cumulus Clouds : Volume 13, Issue 1 (17/01/2013)  
Author: Seifert, A.
Volume: Vol. 13, Issue 1
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2013
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Heus, T., & Seifert, A. (2013). Large-eddy Simulation of Organized Precipitating Trade Wind Cumulus Clouds : Volume 13, Issue 1 (17/01/2013). Retrieved from http://cloud-library.org/


Description
Description: Hans-Ertel Centre for Weather Research, Deutscher Wetterdienst, Hamburg, Germany. Trade wind cumulus clouds often organize in along-wind cloud streets and across-wind mesoscale arcs. We present a benchmark large-eddy simulation which resolves the individual clouds as well as the mesoscale organization on scales of O(10 km). Different methods to quantify organization of cloud fields are applied and discussed. Using perturbed physics large-eddy simulations experiments the processes leading to the formation of cloud clusters and the mesoscale arcs are revealed. We find that both cold pools as well as the sub-cloud layer moisture field are crucial to understand the organization of precipitating shallow convection. Further sensitivity studies show that microphysical assumptions can have a pronounced impact on the onset of cloud organization.

Summary
Large-eddy simulation of organized precipitating trade wind cumulus clouds

Excerpt
Tompkins, A.: Organization of tropical convection in low vertical wind shears: the role of cold pools, J. Atmos. Sci., 58, 1650–1672, 2001.; Atkinson, B. and Zhang, J.: Mesoscale shallow convection in the atmosphere, Rev. Geophys., 34, 403–431, 1996.; Berner, A. H., Bretherton, C. S., and Wood, R.: Large-eddy simulation of mesoscale dynamics and entrainment around a pocket of open cells observed in VOCALS-REx RF06, Atmos. Chem. Phys., 11, 10525–10540, doi:10.5194/acp-11-10525-2011, 2011.%SELF; Böing, S. J., Jonker, H. J. J., Siebesma, A. P., and Grabowski, W. W.: Influence of the subcloud layer on the development of a deep convective ensemble, J. Atmos. Sci., 69, 2682–2698, 2012.; Bretherton, C., Blossey, P., and Khairoutdinov, M.: An energy-balance analysis of deep convective self-aggregation above uniform SST, J. Atmos. Sci., 62, 4273–4292, 2005.; Carbone, R., Tuttle, J., Ahijevych, D., and Trier, S.: Inferences of predictability associated with warm season precipitation episodes, J. Atmos. Sci., 59, 2033–2056, 2002.; de Roode, S., Duynkerke, P., and Jonker, H.: Large-eddy simulation: How large is large enough?, J. Atmos. Sci., 61, 403–421, 2004.; Malkus, J.: Trade cumulus cloud groups – some observations suggesting a mechanism of their origin, Tellus, 9, 33–44, 1957.; Etling, D. and Brown, R.: Roll vortices in the planetary boundary layer: a review, Bound.-Lay. Meteorol., 65, 215–248, doi:10.1007/BF00705527, 1993.; Khairoutdinov, M. F. and Randall, D. A.: {S}imilarity of deep continental cumulus convection as revealed by a three-dimensional cloud-resolving model, J. Atmos. Sci., 59, 2550–2566, doi:2.0.CO;2>10.1175/1520-0469(2002)059<2550:SODCCC>2.0.CO;2, 2002.; Kuang, Z. and Bretherton, C. S.: A mass-flux scheme view of a high-resolution simulation of a transition from shallow to deep cumulus convection, J. Atmos. Sci., 63, 1895–1909, 2006.; Malkus, J. and Riehl, H.: Cloud structure and distributions over the tropical pacific ocean, Tellus, 16, 275–287, 1964.; Matheou, G., Chung, D., Nuijens, L., Stevens, B., and Teixeira, J.: On the fidelity of large-eddy simulation of shallow precipitating cumulus convection, Mon. Weather Rev., 139, 2918–2939, 2011.; Minor, H. A., Rauber, R. M., G{ö}ke, S., and Di Girolamo, L.: Trade wind cloud evolution observed by polarization radar: relationship to giant condensation nuclei concentrations and cloud organization, J. Atmos. Sci., 68, 1075–1096, doi:10.1175/2010JAS3675.1, 2011.; Muller, C. J. and Held, I. M.: Detailed investigation of the self-aggregation of convection in cloud-resolving simulations, J. Atmos. Sci., 69, 2551–2565, doi:10.1175/JAS-D-11-0257.1, 2012.; M{ü}ller, G. and Chlond, A.: Three-dimensional numerical study of cell broadening during cold-air outbreaks, Bound.-Lay. Meteorol., 81, 289–323, 1996.; Nair, U., Weger, R., Kuo, K., and Welch, R.: Clustering, randomness, and regularity in cloud fields – 5. The nature of regular cumulus cloud fields, J. Geophys. Res., 103, 11 363–11 380, doi:10.1029/98JD00088, 1998.; Nicholls, S. and LeMone, M.: The fair weather boundary-layer in GATE: The relationship of sub-cloud fluxes and structure to the distribution and enhancement of cumulus clouds, J. 

 

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