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Other literature type . 2023
License: CC BY
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Article . 2023 . Peer-reviewed
License: CC BY
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https://doi.org/10.20944/prepr...
Article . 2023 . Peer-reviewed
License: CC BY
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Drag Coefficient Parameterization under Hurricane Wind Conditions

Authors: Alexandra Mikhailovna Kuznetsova; Georgy Alekseyevich Baydakov; Alexander Sergeyevich Dosaev; Yuliya Igorevna Troitskaya;

Drag Coefficient Parameterization under Hurricane Wind Conditions

Abstract

The influence of small-scale processes at the ocean–atmosphere boundary layer such as spray and foam on the surface waves prediction is studied. Estimates of the effect of including the exact number of specific fragmentation “parachute” type in the spray on the resulting drag coefficient is shown. For the estimates, the numerical simulations within WAVEWATCH III wave model are performed. The parameterizations of wind input are tested within WAVEWATCH III wave model: default ST4 and ST6 parameterizations and the ST1 and ST6 parameterizations used together with the implemented drag coefficient parameterization. The proposed parameterization takes into account the presence of foam and spay. The obtained results are compared with the NDBC buoys data. The importance of small-scale processes for waves at hurricane winds prediction and the prospects for their inclusion in modern numerical wave models is shown.

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Keywords

drag coefficient; parameterizations; wave model; spray; ocean–atmosphere boundary layer

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
gold