Addendum to “Sea spray aerosol flux estimation based on long-term variation of wave statistics”: estimation based on long-term variation of wind statistics

• Autorzy: Myrhaug D. , Wang H. , Holmedal L. E.

Identyfikatory

DOI

10.1016/j.oceano.2015.11.003

• Języki publikacji: EN

Abstrakty

EN

This note provides estimates of the mean whitecap coverage and the mean sea spray aerosol flux based on long-term wind statistics from the Northern North Sea. Here the improved sea spray aerosol production flux model by Callaghan (2013) is used. The results are compared with those in Myrhaug et al. (2015) based on long-term wave statistics from the Northern North Sea and the North Atlantic.

Słowa kluczowe

EN

sea spray aerosol flux; whitecap coverage; mean wind speed; wind statistics

• Wydawca: Polish Academy of Sciences, Institute of Oceanology ; Elsevier
• Czasopismo: Oceanologia
• Rocznik: 2016
• Tom: No. 58 (2)
• Strony: 150--153
• Opis fizyczny: Bibliogr. 14 poz.

Twórcy

autor

Myrhaug D.

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

autor

Wang H.

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

autor

Holmedal L. E.

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

Bibliografia

• 1.Abramowitz, M., Stegun, I. A., 1972. Handbook of Mathematical Functions. Dover, New York, 1046 pp.
• 2.Anguelova, M. D., Webster, F., 2006. Whitecap coverage from satellite measurements: a first step toward modeling the variability of oceanic whitecaps. J. Geophys. Res. 111, C03017, http://dx.doi. org/10.1029/2005JC003158.
• 3.Bitner-Gregersen, E. M., 2015. Joint met-ocean description for design and operations of marine structures. Appl. Ocean Res. 51, 279— 292, http://dx.doi.org/10.1016/j.apor.2015.01.007.
• 4.Bitner-Gregersen, E., Guedes Soares, C., 2007. Uncertainty of average steepness prediction from global wave databases. In: Proc. MARSTRUCT, Glasgow, UK, 3—10.
• 5.Callaghan, A. H., 2013. An improved whitecap timescale for sea spray aerosol production flux modeling using the discrete whitecap method. J. Geophys. Res. Atmos. 118, 9997—10010, http://dx. doi.org/10.1002/jgrd.50768.
• 6.Callaghan, A. H., de Leeuw, G., Cohen, L., O'Dowd, C. D., 2008. Relationship of oceanic whitecap coverage to wind speed and wind history. Geophys. Res. Lett. 35, L23609, http://dx.doi.org/ 10.1029/2008GL036165.
• 7.de Leeuw, G., Andreas, E. L., Anguelova, M. D., Fairall, C. W., Lewis, E. R., O'Dowd, C., Shultz, M., Schwartz, S. E., 2011. Production flux of sea spray aerosol. Rev. Geophys. 49, RG 2001, http://dx. doi.org/10.1029/2010RG000349.
• 8.Johannessen, K., Meling, T. S., Haver, S., 2001. Joint distribution for wind and waves in the Northern North Sea. In: Proc. 11th International Offshore and Polar Engineering Conference, vol. III, Stavanger, Norway, 19—28.
• 9.Massel, S. R., 2007. Ocean Waves Breaking and Marine Aerosol Fluxes. Springer, New York, 232 pp.
• 10.Moan, T., Gao, Z., Ayala-Uraga, E., 2005. Uncertainty of wave-induced response of marine structures due to long-term variation of extratropical wave conditions. Mar. Struct. 18 (4), 359—382, http://dx.doi.org/10.1016/j.marstruc.2005. 11.001.
• 11.Monahan, E. C., O'Muircheartaigh, I., 1980. Optimal power law description of oceanic whitecap coverage dependence on wind-speed. J. Phys. Oceanogr. 10 (12), 2094—2099, http://dx. doi.org/10.1175/1520-0485(1980)010<2094:0PLDOO>2.0.CO;2.
• 12.Myrhaug, D., Holmedal, L. H., 2008. Effects of wave age and air stability on whitecap coverage. Coast. Eng. 55 (12), 959—966, http://dx.doi.org/10.1016/j.coastaleng.2008.03.005.
• 13.Myrhaug, D., Wang, H., Holmedal, L. E., 2015. Sea spray aerosol flux estimation based on long-term variation of wave statistics. Oceanologia 57 (3), 288—292, http://dx.doi.org/10.1016/j.oceano.2015. 04.001.
• 14.Sugihara, Y., Tsumori, H., Ohga, T., Yoshioka, H., Serizawa, S., 2007. Variation of whitecap coverage with wave-field conditions. J. Mar. Syst. 66 (1—4), 47—60, http://dx.doi.org/10.1016/j.jmarsys.2006. 01.014.