Loading…
On the variability of sea drag in finite water depth
The coupling between the atmospheric boundary layer and the ocean surface in large‐scale models is usually parameterized in terms of the sea drag coefficient, which is routinely estimated as a function of mean wind speed. The scatter of data around such parametric dependencies, however, is very sign...
Saved in:
Published in: | Journal of Geophysical Research: Oceans 2012-11, Vol.117 (C11), p.n/a |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | The coupling between the atmospheric boundary layer and the ocean surface in large‐scale models is usually parameterized in terms of the sea drag coefficient, which is routinely estimated as a function of mean wind speed. The scatter of data around such parametric dependencies, however, is very significant and imposes a serious limitation on the forecasts and predictions that make use of sea surface drag parameterizations. The analysis of an atmospheric and wave data set collected in finite water depth at the Lake George measurement site (Australia) suggests that this variability relates to a number of parameters at the air‐sea interface other than wind speed alone. In particular, results indicate that the sea drag depends on water depth and wave steepness, which make the wave profile more vertically asymmetric, and the concentration of water vapor in the air, which modifies air density and friction velocity. These dependencies are used to derive parametric functions based on the combined contribution of wind, waves and relative humidity. A standard statistical analysis confirms a substantial improvement in the prediction of the drag coefficient and sea surface roughness when additional parameters are taken into account.
Key Points
Dependence of speed drag on relative humidity
Multiple variable dependence of sea drag
New parametric model for predicting the drag coefficient |
---|---|
ISSN: | 0148-0227 2169-9275 2156-2202 2169-9291 |
DOI: | 10.1029/2011JC007857 |