AbstractA novel approach is constructed for determining both the occurrence and the duration of stationary periods within time series. After reviewing four statistical techniques that provide stationarity measures invariant to applying a constant offset to the variable of interest, the reverse arrangement test is selected as the basic statistical operation to construct the approach. The probability distributions of the starting and ending points of stationary intervals are used to determine the nonstationary location at which a period should be split into two subperiods and nonstationary samples that should be discarded from analysis of time-averaged statistics. The approach provides efficient analysis of long-term datasets and is capable of relating data sampled at multiple locations. Applying the approach to data obtained within a walnut orchard canopy during the defoliated phase of the Canopy Horizontal Array Turbulence Study (CHATS) yields periods with stationary within-canopy velocities required by analysis of the bulk drag–wind relationship. The uncertainties in empirical estimates of the bulk drag–wind relationship associated with nonstationarity and finite duration of time series are evaluated. An integral view of various stationarity measures is presented, with a highlight of their links to physical processes.
Journal of Atmospheric and Oceanic Technology – American Meteorological Society
Published: Oct 2, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera