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Autor:
Edgar L. Andreas
Publikováno v:
Boundary-Layer Meteorology. 148:437-437
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ff090b960c0e1604abe92e2adf644c9
https://doi.org/10.1007/s10546-013-9828-8
https://doi.org/10.1007/s10546-013-9828-8
Autor:
George Treviño, Edgar L. Andreas
Publikováno v:
Boundary-Layer Meteorology. 132:475-481
Using the conditional average formulation, we suggest a new explanation for why the stress in the atmospheric surface layer is often observed to vary with height. In essence, because turbulence series are always correlated for small lags, the steady-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf4acabd31769e458770f9bae5c04382
https://doi.org/10.1007/s10546-009-9411-5
https://doi.org/10.1007/s10546-009-9411-5
Autor:
Edgar L. Andreas, George Treviño
Publikováno v:
Boundary-Layer Meteorology. 128:303-311
We show that validity of Reynolds averaging for estimating the (ensemble) mean of a turbulence time series requires that the series values be both stationary and uncorrelated. In strict statistical terminology, these two conditions are jointly design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cccf2f2498577c5401b9dc17dd9e15a
https://doi.org/10.1007/s10546-008-9288-8
https://doi.org/10.1007/s10546-008-9288-8
Autor:
Edgar L. Andreas, George Treviño
Publikováno v:
Boundary-Layer Meteorology. 127:353-356
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5ee58917936ad43fdef96f22df5d29d
https://doi.org/10.1007/s10546-008-9264-3
https://doi.org/10.1007/s10546-008-9264-3
Publikováno v:
Boundary-Layer Meteorology. 127:37-56
Because of rapid forcing by varying cloud and sky conditions, turbulence time series collected in the atmospheric surface layer over land may often be nonstationary. The meteorological community, however, has no consensus definition of what nonstatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f218e04da3ebaa19799bd1f48e4baf9
https://doi.org/10.1007/s10546-007-9252-z
https://doi.org/10.1007/s10546-007-9252-z
Autor:
George Treviño, Edgar L. Andreas
Publikováno v:
Boundary-Layer Meteorology. 120:497-508
We show that traditional Reynolds (block) averaging produces turbulence statistics whose time evolution is incompatible with the Navier–Stokes equation. Specifically, the zero integral scale that block averaging always produces leads to a trivial (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5062b1d20c5eff6bd388fcea5b06fa9
https://doi.org/10.1007/s10546-006-9060-x
https://doi.org/10.1007/s10546-006-9060-x
Autor:
Edgar L. Andreas, George Treviño
Publikováno v:
Journal of the Atmospheric Sciences. 57:1189-1192
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6febf1a6fda2dc4d33ff223051293a98
https://doi.org/10.1175/1520-0469(2000)057<1189:coapio>2.0.co
https://doi.org/10.1175/1520-0469(2000)057<1189:coapio>2.0.co
Autor:
George Treviño, Edgar L. Andreas
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 14:554-564
Wavelets are a new class of basis functions that are finding wide use for analyzing and interpreting time series data. This paper describes a new use for wavelets—identifying trends in time series. The general signal considered has a quadratic tren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f010b512665fcd46ec6c297f8639108
https://doi.org/10.1175/1520-0426(1997)014<0554:uwtdt>2.0.co
https://doi.org/10.1175/1520-0426(1997)014<0554:uwtdt>2.0.co
Autor:
Edgar L. Andreas, George Treviño
Publikováno v:
Boundary-Layer Meteorology. 81:271-288
Wavelets are new tools for turbulence analysis that are yielding important insights into boundary-layer processes. Wavelet analysis, however, has some as yet undiscussed limitations: failure to recognize these can lead to misinterpretation of wavelet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ccbb7e0c434163b2be9e17cb057ec34
https://doi.org/10.1007/bf02430332
https://doi.org/10.1007/bf02430332