Numerical modeling of atmospheric water content and probability evaluation. Part II

被引:0
|
作者
Cerlini, P. B. [1 ]
Cotana, F. [1 ]
Rossi, F. [1 ]
Asdrubali, F. [1 ]
机构
[1] CIRIAF Univ Perugia, I-06124 Perugia, Italy
来源
12TH INTERNATIONAL CONFERENCE ON COMPUTING AND CONTROL FOR THE WATER INDUSTRY, CCWI2013 | 2014年 / 70卷
关键词
Statistical Equilibrium; convection; non-hydrostatic 3D cloud modeling; relative humidity statistical distribution; PREDICTION SYSTEM ARPS; SELF-AGGREGATION; CLOUD ENSEMBLE; SIMULATIONS;
D O I
10.1016/j.proeng.2014.02.037
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Starting from a numerical simulation of tropical atmosphere in radiative convective equilibrium a perturbation to the surface condition has been applied and the subsequent adjustment of the atmosphere has been analyzed. 3D data have been averaged in space and time using as energy variable to sort them the moist static energy, that is conserved for a moist atmosphere during adiabatic fluid parcel displacements. Since the energy balance of the system corresponds to vertically averaged terms of the MSE differential budget, a entropy derived variable-corresponding to a total thermodynamic energy variable- the theta(e) equivalent potential temperature, has been analyzed using the vertically block averaged column data sorted by MSE. A close correlation between the energy distribution analyzed as quartile and mean for the theta(e) and RH vertical profiles is found, highlighting the dynamical link existing between energy and moisture/heat statistical distribution of the system. (C) 2013 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:330 / 338
页数:9
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