Multiresolution flux decomposition

被引：152

作者：

Howell, JF

Mahrt, L

机构：

[1] National Center for Atmospheric Research, Boulder, CO

来源：

BOUNDARY-LAYER METEOROLOGY | 1997年 / 83卷 / 01期

基金：

美国国家科学基金会;

关键词：

Reynolds averaging; turbulence; time series; cospectra; sampling error;

D O I：

10.1023/A:1000210427798

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

Geophysical variables are orthogonally decomposed by averaging time series using different averaging lengths, referred to as a (Haar) multiresolution decomposition. This simple and economic decomposition is associated with cospectra that formally satisfy Reynolds averaging rules for each averaging length. The multiresolution decomposition provides a natural estimate of the random error in estimating a mean turbulent flux. The Fourier and multiresolution decompositions are compared using aircraft data from BOREAS.

引用

页码：117 / 137

页数：21

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