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A diagnostic study of subgrid‐scale activation
Author(s) -
Jiang Hongli,
Cotton William R.
Publication year - 2005
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2004jd005722
Subject(s) - scale (ratio) , cloud computing , vertical velocity , benchmark (surveying) , boundary layer , nucleation , meteorology , mechanics , geology , physics , statistical physics , mathematics , thermodynamics , computer science , geodesy , quantum mechanics , operating system
Using large‐eddy simulations (LESs) of six observed boundary layer cases as benchmark data sets, we diagnosed vertical velocity as the sum of the grid‐mean () and the subgrid‐scale w using an empirical method we have developed. We have found that the subgrid‐scale w is best characterized by the root‐mean square of w ′ 2 . The vertical velocity is expressed in the form of w = + c , where c is diagnosed from LES data to be 0.24. The w is then used to diagnose the cloud droplet numbers using a simple predictive equation of cloud nucleation following previous works in the literature. Good agreement is found between diagnosed cloud droplet concentrations and predicted cloud droplet concentrations using an LES model.

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