Sea spray volume flux estimation using joint statistics of wind and waves

• Autorzy: Myrhaug Dag , Leira Bernt J. , Radhakrishnan Gowtham , Holm Håvard

Identyfikatory

DOI

10.1016/j.oceano.2022.07.005

• Języki publikacji: EN

Abstrakty

EN

This article provides estimates of the sea spray volume flux using joint statistics of wind and waves. This is achieved by combining the sea spray volume flux parameterization proposed by Xu et al. (2021) with the joint statistics of wind and waves provided by Bitner-Gregersen (2015). Both the sea spray volume flux formula and the joint statistics of wind and waves represent conditions for wind waves from the North-West Shelf of Western Australia. The expected value and the variance of the sea spray volume flux for a range of realistic wind and wave conditions are presented, as well as an illustrative example. Comparison is also made with data from Xu et al. (2021) showing a reasonable agreement for the relevant subset of the data.

Słowa kluczowe

EN

sea spray volume flux; joint wind and wave conditions; wind waves; stochastic method

• Wydawca: Polish Academy of Sciences, Institute of Oceanology ; Elsevier
• Czasopismo: Oceanologia
• Rocznik: 2022
• Tom: No. 64 (4)
• Strony: 789--793
• Opis fizyczny: Bibliogr. 9 poz., wykr.

Twórcy

autor

Myrhaug Dag

• Department of Marine Technology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

autor

Leira Bernt J.

• Department of Marine Technology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

autor

Radhakrishnan Gowtham

• Department of Marine Technology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

autor

Holm Håvard

• Department of Marine Technology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

Bibliografia

• 1. Bitner-Gregersen, E.M., 2015. Joint met-ocean description for design and operations of marine structures. Appl. Ocean Res. 51, 279-292. https://doi.org/10.1016/j.apor.2015.01.007
• 2. Bruch, W., Piazzola, J., Branger, H., van Eijk, A.M.J., Luneau, C., Bourras, D., Tedeschi, G., 2021. Sea-spray-generation dependence on wind and wave combinations: A laboratory study. Boundary-Layer Meteorology 180 (3), 477-505. https://doi.org/10.1007/s10546-021-00636-y
• 3. Bury, K.V., 1975. Statistical Models in Applied Science. John Wiley & Sons, New York, 646 pp.
• 4. Cox, C., Munk, W., 1956. Slopes of the sea surface deduced from photographs of sun glitter. Bull. Scripps Inst. Oceanogr. 6, 401-488.
• 5. Lenain, L., Statom, N.M., Melville, W.K., 2019. Aiborne measurements of surface wind and slope statistics over the ocean. J. Phys. Oceanogr. 49 (11), 2799-2814. https://doi.org/10.1175/JPO-D-19-0111.1
• 6. Massel, S.R., 2007. Ocean Waves Breaking and Marine Aerosol Fluxes. Springer, New York, 232 pp.
• 7. Tucker, M.J., Pitt, E.G., 2001. Waves in Ocean Engineering. Elsevier, Amsterdam, 521 pp.
• 8. Veron, F., 2015. Ocean spray. Annual Rev. Fluid Mech. 47, 507-538. https://doi.org/10.1146/annurev-fluid-010814-014651
• 9. Xu, X., Voermans, J.J., Ma, H., Guan, C., Babanin, A.V., 2021. A wind-wave-dependent sea spray volume flux model based on field experiments. J. Mar. Sci. Eng. 9, 1168. https://doi.org/10.3390/jmse9111168

Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).