Dominate time scale characteristics of the turbulence across canopy-atmosphere interface of a mixed broadleaved-Korean pine forest in Changbai Mountains

Zhang Jun-hui , Yang Xiao-ming , Han Shi-jie , Zhou Yu-mei

Journal of Forestry Research ›› 2002, Vol. 13 ›› Issue (3) : 205 -208.

PDF
Journal of Forestry Research ›› 2002, Vol. 13 ›› Issue (3) : 205 -208. DOI: 10.1007/BF02871698
Article

Dominate time scale characteristics of the turbulence across canopy-atmosphere interface of a mixed broadleaved-Korean pine forest in Changbai Mountains

Author information +
History +
PDF

Abstract

The measurement and observation for this study were carried out at Forest Ecosystem Opened Research Station of Changbai Mountains (128°28′E and 42°24′ N, Jilin Province, P. R. China). Characteristics of Dominant time scales (DTSes) and dominant time scales contribution ratios (DCRs) across canopy-atmosphere interface and controlling factors were analyzed with multi-scale method. DTS of stream wise and lateral velocity components were larger than that of vertical velocity component. While DCR of vertical velocity component was larger than that of the stream wise and lateral velocity components. Effect of atmospheric stability on DCR and DTS was nonlinear. DTS under unstable conditions was larger than that under stable conditions; DTS and DCR were determined upon the original scales characteristics of upwind flow under strong stability. Canopy structure would influence DTS and DCR across canopy-atmosphere interface remarkably.

Keywords

Canopy-atmosphere interface / Multi-scale / Atmospheric stability / Dominate time scale / S718.51 / A

Cite this article

Download citation ▾
Zhang Jun-hui, Yang Xiao-ming, Han Shi-jie, Zhou Yu-mei. Dominate time scale characteristics of the turbulence across canopy-atmosphere interface of a mixed broadleaved-Korean pine forest in Changbai Mountains. Journal of Forestry Research, 2002, 13(3): 205-208 DOI:10.1007/BF02871698

登录浏览全文

4963

注册一个新账户 忘记密码

References

AI Summary AI Mindmap
PDF

87

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/