Wave Dependence of Sea-Surface Wind Stress

Toba, Yoshiaki; Iida, Noriko; Kawamura, Hiroshi; Ebuchi, Naoto; Jones, Ian

doi:10.1175/1520-0485(1990)020<0705:wdossw>2.0.co;2

Cited by 155 publications

(90 citation statements)

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“…(4)) resulted in the highest degree of internal consistency among the relations. Toba et al (1990) analysed a collection of data including their own data from Bass Strait, Australia, and other field and laboratory data. Following our second approach they concluded that zo* was directly pr6portional to wave age, je.…”

Section: Introductionmentioning

confidence: 99%

Measuring the relationship between wind stress and sea state in the open ocean in the presence of swell

1994

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Section: Introductionmentioning

confidence: 99%

Measuring the relationship between wind stress and sea state in the open ocean in the presence of swell

1994

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“…Recent results issued from in situ measurements, lab experiments, or theoretical works (Alamaro et al 2002;Powell et al 2003;Donelan et al 2004;Moon et al 2004a, b;Makin 2005) show that the sea surface drag coefficient is weaker under strong wind (∼30 m/s) conditions and could even be a decreasing function of the wind speed. It means that sea surface drag coefficient could be sizeably dependent to the wave state (Toba et al 1990;Smith et al 1992;Johnson et al 1998;Drennan et al 2003). Indeed, the aerodynamic roughness length associated with the surface wavefield (z 0 ) impacts atmospheric circulation and storm surges (Mastenbroek et al 1993;Saetra et al 2007;Nicolle et al 2009).…”

Section: Sea Surface Drag Formulations and Comparisonmentioning

confidence: 99%

Atmospheric storm surge modeling methodology along the French (Atlantic and English Channel) coast

et al. 2014

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Storm surge modeling and forecast are the key issues for coastal risk early warning systems. As a general objective, this study aims at improving high-frequency storm surge variations modeling within the PREVIMER system (www.previmer.org), along the French Atlantic and English Channel coasts. The paper focuses on (1) sea surface drag parameterization and (2) uncertainties induced by the meteorological data quality. The modeling is based on the shallowwater version of the model for applications at regional scale (MARS), with a 2-km spatial resolution. The model computes together tide and surge, allowing properly taking into account tide-surge interactions. To select the most appropriate parameterization for the study area, a sensitivity analysis on sea surface drag parameterizations is done, based on comparisons of modeled storm surges (extracted with a tidal component analysis) with four tidal gauges, during four storm events, and over about 7.5 years, where the observed water level is processed in the same way as the modeling results. The tested drag parameterizations are a constant one, as reported by Moon et al. (J Atmos Sci 61: 2321-2333, 2007, Makin (BoundLayer Meteorol 115: 169-176, 2005), and Charnock (J Roy Meteor Soc 81: 639-640, 1955). Charnock's parameterization, either constant with high value (0.022) or relying on a full statistical description of the sea state, enables to improve storm surges forecast with peak errors 10 cm smaller than those computed with the other drag coefficient formulations. The impact of the meteorological forcing quality is evaluated over January 2012 from the comparison between surges modeled with different meteorological data (ARPEGE, ARPEGE High Resolution and AROME) and observations. For event time scale, storm surge computation is highly improved with ARPEGE High Resolution data. For month time scale, statistics of model accuracy are less sensitive to the choice of meteorological forcing. As a conclusion, the Charnock's parameterization is advised to model storm surges on the French Atlantic and English Channel coasts, whereas the quality requirements regarding meteorological inputs depend on the time scale of interest. Within the PREVIMER system, aiming at forecasting events, ARPEGE High Resolution data are used.

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“…(57-3) is for the value of | (c p /u * -)| < 1. For young or developing waves, Toba et al (1990) proposed the following formula for the non-dimensional surface roughness …”

Section: Swell Effectmentioning

confidence: 99%

Modification of the Charnock Wind Stress Formula to Include the Effects of Free Convection and Swell

Huang¹

2012

Advanced Methods for Practical Applications in Fluid Mechanics

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Wave Dependence of Sea-Surface Wind Stress

Cited by 155 publications

References 0 publications

Measuring the relationship between wind stress and sea state in the open ocean in the presence of swell

Measuring the relationship between wind stress and sea state in the open ocean in the presence of swell

Atmospheric storm surge modeling methodology along the French (Atlantic and English Channel) coast

Modification of the Charnock Wind Stress Formula to Include the Effects of Free Convection and Swell

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