Agnon, YehudaBabanin, Alexander VYoung, Ian RChalikov, Dmitry2012-04-112012-04-110094-82761944–8007http://hdl.handle.net/1885/8976Analysis of measured sea and lake wind wave data reveals large variability of the wind energy input, as well as the waves skewness and asymmetry. The spatial and temporal third moments alternate in sign over a few wave periods and over a few wavelengths, respectively. Simulation through a 2D Wave Boundary Layer model in which the air flow is modeled by 2nd order Reynolds equations (Chalikov, 1998) conforms to these findings and exposes a rich structure. We found clear correlation of the variations of the skewness and the asymmetry with the wind input.4 pageshttp://www.sherpa.ac.uk/romeo/issn/0094-8276/ "... author can archive pre-print ... [and] post-print ... Author can archive publisher's version/PDF ... in Institutional Respository 6 months after publication. Preprints and Authors final version on Authors own or departmental website. Set statements to accompany pre-print, submitted, accepted and published articles. Publisher copyright and source must be acknowledged. Publisher's version/PDF MUST be used in Institutional Repository 6 months after publication - from SHERPA/RoMEO site (as at 10/4/12) Copyright 2005 by the American Geophysical UnionKeywords: Boundary layers; Computer simulation; Lakes; Mathematical models; Mathematical transformations; Reynolds number; Seawater; Surface waters; Wind; Wind power; Wind stress; Field wave measurement data; Hilbert transforms; Wave Boundary Layer model; Meteorolo2005-06-1610.1029/2005GL0227012015-12-09