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Vertical Profiles of Wave-Coherent Momentum Flux and Velocity Variances in the Marine Atmospheric Boundary Laye
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Geovetenskapliga sektionen, Institutionen för geovetenskaper, Luft-, vatten och landskapslära.
The Johns Hopkins University, Baltimore, Department of Mechanical Engineering, Maryland.
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Geovetenskapliga sektionen, Institutionen för geovetenskaper, Luft-, vatten och landskapslära.ORCID-id: 0000-0001-7656-1881
2018 (engelsk)Inngår i: Journal of Physical Oceanography, ISSN 0022-3670, E-ISSN 1520-0485, Vol. 48, nr 3, s. 625-641Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The wave-coherent momentum flux and velocity variances are investigated using a theoretical model and open-ocean measurements. The spectrum-integrated wave-coherent (SIWC) momentum flux and velocity variances decay roughly exponentially with height. The exponential decay coefficients of the SIWC momentum flux and velocity variances decrease with increasing peak wavenumber. The phases of the wave-coherent horizontal (vertical) velocity fluctuations are approximately 180° (90°) under waves with wind-wave angle |α1| < 90°. In general, the ratio of the SIWC momentum flux to the total momentum flux under swell conditions is higher than that under wind-wave conditions at the same height. At a height of 9.9 m, the SIWC vertical (horizontal) velocity variances can exceed 30% (10%) of the total vertical (horizontal) velocity variances at high wave ages. The impact of SIWC momentum flux on wind profiles is determined mainly by the surface SIWC momentum flux ratio, the decay coefficient of the SIWC momentum flux, and the sea surface roughness length, with the first two factors being dominant. The results of this study suggest a methodology for parameterizing the SIWC momentum flux and the total momentum flux over the ocean. These results are important for simulating the marine atmospheric boundary layer and should be used in model development.

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2018. Vol. 48, nr 3, s. 625-641
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Identifikatorer
URN: urn:nbn:se:uu:diva-345962DOI: 10.1175/JPO-D-17-0052.1ISI: 000430757700009OAI: oai:DiVA.org:uu-345962DiVA, id: diva2:1190027
Forskningsfinansiär
Swedish Research Council, 2012-3902Swedish Research Council Formas, 2017-00516ÅForsk (Ångpanneföreningen's Foundation for Research and Development), 17-393Tilgjengelig fra: 2018-03-13 Laget: 2018-03-13 Sist oppdatert: 2018-07-04bibliografisk kontrollert

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