scholarly journals Influence of cloud condensation and giant cloud condensation nuclei on the development of precipitating trade wind cumuli in a large eddy simulation

2009 ◽  
Vol 114 (D8) ◽  
Author(s):  
William Y. Y. Cheng ◽  
Gustavo G. Carrió ◽  
William R. Cotton ◽  
Stephen M. Saleeby
Keyword(s):  
Large Eddy Simulation ◽  
Cloud Condensation Nuclei ◽  
Trade Wind ◽  
Condensation Nuclei ◽  
Eddy Simulation ◽  
Large Eddy

scholarly journals Large-eddy simulation of organized precipitating trade wind cumulus clouds

2013 ◽  
Vol 13 (1) ◽  
pp. 1855-1889 ◽  
Author(s):  
A. Seifert ◽  
T. Heus
Keyword(s):  
Large Eddy Simulation ◽  
Trade Wind ◽  
Shallow Convection ◽  
Cumulus Clouds ◽  
Eddy Simulation ◽  
Cold Pools ◽  
Cloud Clusters ◽  
Large Eddy ◽  
Sensitivity Studies ◽  
The Individual

Abstract. 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.

scholarly journals Large-eddy simulation of organized precipitating trade wind cumulus clouds

2013 ◽  
Vol 13 (11) ◽  
pp. 5631-5645 ◽  
Author(s):  
A. Seifert ◽  
T. Heus
Keyword(s):  
Large Eddy Simulation ◽  
Trade Wind ◽  
Shallow Convection ◽  
Cumulus Clouds ◽  
Eddy Simulation ◽  
Cold Pools ◽  
Cloud Clusters ◽  
Large Eddy ◽  
Sensitivity Studies ◽  
The Individual

Abstract. 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 simulation 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.

scholarly journals On the Fidelity of Large-Eddy Simulation of Shallow Precipitating Cumulus Convection

2011 ◽  
Vol 139 (9) ◽  
pp. 2918-2939 ◽  
Author(s):  
Georgios Matheou ◽  
Daniel Chung ◽  
Louise Nuijens ◽  
Bjorn Stevens ◽  
Joao Teixeira
Keyword(s):  
Large Eddy Simulation ◽  
Liquid Water ◽  
Cloud Cover ◽  
Scale Model ◽  
Trade Wind ◽  
Numerical Dissipation ◽  
Surface Precipitation ◽  
Eddy Simulation ◽  
Large Eddy ◽  
The Impact

The present study considers the impact of various choices pertaining to the numerical solution of the governing equations on large-eddy simulation (LES) prediction and the association of these choices with flow physics. These include the effect of dissipative versus nondissipative advection discretizations, different implementations of the constant-coefficient Smagorinsky subgrid-scale model, and grid resolution. Simulations corresponding to the trade wind precipitating shallow cumulus composite case of the Rain in Cumulus over the Ocean (RICO) field experiment were carried out. Global boundary layer quantities such as cloud cover, liquid water path, surface precipitation rate, power spectra, and the overall convection structure were used to compare the effects of different discretization implementations. The different discretization implementations were found to exert a significant impact on the LES prediction even for the cases where the process of precipitation was not included. Increasing numerical dissipation decreases cloud cover and surface precipitation rates. For nonprecipitating cases, grid convergence is achieved for grid spacings of 20 m. Cloud cover was found to be particularly sensitive, exhibiting variations between different resolution runs even when the mean liquid water profile had converged.

scholarly journals Impacts of cloud microphysics on trade wind cumulus: which cloud microphysics processes contribute to the diversity in a large eddy simulation?

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Yousuke Sato ◽  
Seiya Nishizawa ◽  
Hisashi Yashiro ◽  
Yoshiaki Miyamoto ◽  
Yoshiyuki Kajikawa ◽  
...  
Keyword(s):  
Large Eddy Simulation ◽  
Cloud Microphysics ◽  
Trade Wind ◽  
Eddy Simulation ◽  
Large Eddy
Sign in / Sign up

Export Citation Format

Share Document