
Effects of high‐frequency wind sampling on simulated mixed layer depth and upper ocean temperature
Author(s) -
Lee Tong,
Liu W. Timothy
Publication year - 2005
Publication title -
journal of geophysical research: oceans
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2004jc002746
Subject(s) - environmental science , mixed layer , forcing (mathematics) , advection , wind speed , climatology , sampling (signal processing) , wind shear , atmospheric sciences , latitude , wind stress , meteorology , geology , oceanography , geography , filter (signal processing) , physics , geodesy , computer science , computer vision , thermodynamics
Effects of high‐frequency wind sampling on a near‐global ocean model are studied by forcing the model with a 12 hourly averaged wind product and its 24 hourly subsamples in separate experiments. The differences in mixed layer depth and sea surface temperature resulting from these experiments are examined, and the underlying physical processes are investigated. The 24 hourly subsampling not only reduces the high‐frequency variability of the wind but also affects the annual mean wind because of aliasing. While the former effect largely impacts mid‐ to high‐latitude oceans, the latter primarily affects tropical and coastal oceans. At mid‐ to high‐latitude regions the subsampled wind results in a shallower mixed layer and higher sea surface temperature because of reduced vertical mixing associated with weaker high‐frequency wind. In tropical and coastal regions, however, the change in upper ocean structure due to the wind subsampling is primarily caused by the difference in advection resulting from aliased annual mean wind, which varies with the subsampling time. The results of the study indicate a need for more frequent sampling of satellite wind measurement and have implications for data assimilation in terms of identifying the nature of model errors.