Abstract
A graphical method, named space time-index plots for detecting dynamical nonstationarity in general time series is addressed. In the method, the graph is V-shaped due to nonstationarity. The method is used to detect dynamical nonstationarity in atmospheric boundary layer turbulence in this paper. The high resolution temperature, humidity and three components of wind speed under various land surface obtained from HUBEX (Study of Energy and Water Cycle Over Huaihe River Basin) and PFRD (Park Falls Ranger District of the Chequamegon National Forest, about 15km east of Park Falls, Wisconsin, U.S.A.) are analyzed. The results show space time-index plots method can effectively detect whether dynamical nonstationarity exists in atmospheric boundary layer turbulence signal. There is almost few dynamical stationarity in atmospheric boundary layer turbulence signal neither under rice field from HUBEX nor under forest from PFRD. Dynamical nonstationarity is maybe one common property of atmospheric boundary layer turbulence signal. The intermittency and coherent structures in atmospheric boundary layer turbulence lead to some differences in nonstationarity graph shape between atmospheric boundary layer turbulence and general time series. The results show the turbulence signal over forest from PFRD is dominated by more distinct coherent structures and intermittency than that over rice from HUBEX.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
