What Is the Maximum Entropy Principle? Comments on "Statistical Theory on the Functional Form of Cloud Particle Size Distributions"

被引:2
|
作者
Yano, Jun-Ichi [1 ,2 ]
机构
[1] Meteo France, CNRM, Toulouse, France
[2] CNRS, UMR 3589, Toulouse, France
关键词
Cloud microphysics; Statistical techniques; Parameterization;
D O I
10.1175/JAS-D-18-0223.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The basic idea of the maximum entropy principle is presented in a succinct, self-contained manner. The presentation points out some misunderstandings on this principle by Wu and McFarquhar. Namely, the principle does not suffer from the problem of a lack of invariance by change of the dependent variable; thus, it does not lead to a need to introduce the relative entropy as suggested by Wu and McFarquhar. The principle is valid only with a proper choice of a dependent variable, called a restriction variable, for a distribution. Although different results may be obtained with the other variables obtained by transforming the restriction variable, these results are simply meaningless. A relative entropy may be used instead of a standard entropy. However, the former does not lead to any new results unobtainable by the latter.
引用
收藏
页码:3955 / 3960
页数:6
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