Skip to main content
Log in

Analysis of the global swell distributions using ECMWF Re-analyses wind wave data

  • Published:
Journal of Ocean University of China Aims and scope Submit manuscript

Abstract

The existence of three well-defined tongue-shaped zones of swell dominance, termed as ‘swell pools’, in the Pacific, the Atlantic and the Indian Oceans, was reported by Chen et al. (2002) using satellite data. In this paper, the ECMWF Re-analyses wind wave data, including wind speed, significant wave height, averaged wave period and direction, are applied to verify the existence of these swell pools. The swell indices calculated from wave height, wave age and correlation coefficient are used to identify swell events. The wave age swell index can be more appropriately related to physical processes compared to the other two swell indices. Based on the ECMWF data the swell pools in the Pacific and the Atlantic Oceans are confirmed, but the expected swell pool in the Indian Ocean is not pronounced. The seasonal variations of global and hemispherical swell indices are investigated, and the argument that swells in the pools seemed to originate mostly from the winter hemisphere is supported by the seasonal variation of the averaged wave direction. The northward bending of the swell pools in the Pacific and the Atlantic Oceans in summer is not revealed by the ECMWF data. The swell pool in the Indian Ocean and the summer northward bending of the swell pools in the Pacific and the Atlantic Oceans need to be further verified by other datasets.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Caires, S., Sterl, A., Bidlot, J.-R., Graham, N., and Swail, V., 2004. Intercomparison of different wind wave reanalyses. Journal of Climate, 17: 1893–1913.

    Article  Google Scholar 

  • Chen, G., Chapron, B., Ezraty, R., and Vandemark, D., 2002. A global view of swell and wind sea climate in the ocean by satellite altimeter and scatterometer. Journal of Atmospheric and Oceanic Technology, 19: 1849–1859.

    Article  Google Scholar 

  • Collard, F., Ardhuin, F., and Chapron, B., 2009. Monitoring and analysis of ocean swell fields from space: New methods for routine observations. Journal of Geophysical Research, 114, C07023, Doi: 10.1029/2008JC005215.

    Article  Google Scholar 

  • Donelan, M. A., Drennan, W. M., and Katsaros, K. B., 1997. The air — sea momentum flux in conditions of wind sea and swell. Journal of Physical Oceanography, 27: 2087–2099.

    Article  Google Scholar 

  • Guan, C., and Sun, J., 2004. Similarities of some wind input and dissipation source terms. China Ocean Engineering, 18(4): 629–642.

    Google Scholar 

  • Guan, C., and Xie, L., 2004. On the linear parameterization of drag coefficient over sea surface. Journal of Physical Oceanography, 34: 2847–2851.

    Article  Google Scholar 

  • Huang, R. X., and Wang, W., 2006. Decadal variability of wind-energy input to the world ocean. Deep-Sea Research II, 53: 31–41.

    Article  Google Scholar 

  • Kinsman, B., 1965. Wind Waves. Printice-Hall, 676pp.

  • Mettlach, T., Wang, D., and Wittmann, P., 1994. Analysis and prediction of ocean swell using instrumented buoys. Journal of Atmospheric and Oceanic Technology, 11: 506–524.

    Article  Google Scholar 

  • Miles, J. W., 1957. On the generation of surface wave by shear flow. Journal of Fluid Mechanics., 3(2): 185–204.

    Article  Google Scholar 

  • Munk, W. H., Miller, G. R., Snodgrass, F. E., and Barber, N. F., 1963. Directional recording of swell from distant storm. Philosophical Transactions of the Royal Society of London, A255: 505–584.

    Google Scholar 

  • Pierson, W. J., Jr., and Moskowitz, L., 1964. A proposed spectral form for fully developed wind seas based on the similarity theory of S. A. Kitaigorodskii. Journal of Geophysical Research, 69(24): 5181–5203.

    Article  Google Scholar 

  • WAMDI Group, 1988. The WAM model — a third generation ocean wave prediction model. Journal of Physical Oceanography, 18: 1775–1809.

    Article  Google Scholar 

  • Wang, W., and Huang, R. X., 2004. Wind energy input to the surface waves. Journal of Physical Oceanography, 34: 1276–1280.

    Article  Google Scholar 

  • WISE Group, 2007. Wave modelling — The state of the art. Progress in Oceanography, 75: 603–674, Doi: 10.1016/j.pocean.2007.05.005.

    Article  Google Scholar 

  • Wu, J., 1980. Wind-stress coefficients over sea surface near neutral conditions — A revisit. Journal of Physical Oceanography, 10: 727–740.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Changlong Guan.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhang, J., Wang, W. & Guan, C. Analysis of the global swell distributions using ECMWF Re-analyses wind wave data. J. Ocean Univ. China 10, 325–330 (2011). https://doi.org/10.1007/s11802-011-1859-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11802-011-1859-5

Key words

Navigation