Skip to main content Accessibility help
×
Home

Parameterization of Arctic Sea-ice Surface roughness for application in ice type classification

  • Carola Von Saldern (a1), Christian Haas (a1) and Wolfgang Dierking (a1)

Abstract

Statistics of Arctic Sea-ice Surface roughness have been investigated in order to improve classification of ice-thickness regimes. The data consist of Surface roughness and thickness profiles, acquired Simultaneously by helicopter-borne laser altimetry and electromagnetic induction Sounding. Five thickness classes were identified using the modal thickness as a criterion. For each class, the Statistical properties of the Surface roughness profiles were analyzed. A classification algorithm was designed, which assigns profiles to the thickness classes on the basis of a Set of Selected Statistical roughness parameters. The algorithm was applied to profiles of different lengths. Best results were obtained for 2 km long profiles, for which it was possible to discriminate well between thick first-year and multi-year ice, and to distinguish these classes from thinner ice. The classification rule was tested on data obtained under winter and Summer conditions. The results Suggest that Statistical Surface roughness properties are different for thinner and thicker ice classes. However, individual thin-ice classes cannot be discriminated on the basis of the Selected roughness parameters.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Parameterization of Arctic Sea-ice Surface roughness for application in ice type classification
      Available formats
      ×

      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Parameterization of Arctic Sea-ice Surface roughness for application in ice type classification
      Available formats
      ×

      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Parameterization of Arctic Sea-ice Surface roughness for application in ice type classification
      Available formats
      ×

Copyright

References

Hide All
Abramowitz, M. and Stegun, I.A., eds. 1972. Handbook of mathematical functions, with formulas, graphs and mathematical tables. New York, Dover Publications.
Barabasi, A.L. and Stanley, H.E.. 1995. Fractal concepts in Surface growth. Cambridge, etc., Cambridge University Press.
Bishop, G.C. and Chellis, S.E.. 1989. Fractal dimension: a descriptor of ice keel Surface roughness. Geophys. Res. Lett., 16(9), 1007–1010.
Dierking, W. 1999. Quantitative roughness characterization of geological Surfaces and implications for radar Signature analysis. IEEE Trans. Geosci. Remote Sens., 37(5), 2397–2412.
Goff, J.A. 1995. Quantitative analysis of Sea ice draft. 1. Methods for Stochastic modeling. J. Geophys. Res., 100(C4), 6993–7004.
Haas, C., Hendriks, S. and Doble, M.. 2006. Comparison of the Sea-ice thickness distribution in the Lincoln Sea and adjacent Arctic Ocean in 2004 and 2005. Ann. Glaciol., 44 (see paper in this volume).
Hand, D.J. 1981. Discrimination and classification. Chichester, John Wiley & Sons.
Hibler, W.D. 1972. Removal of aircraft altitude variation from laser profiles of the Arctic pack. J. Geophys. Res., 77(36), 7190–7195.
Key, J. and Mclaren, A.S.. 1991. Fractal nature of the Sea ice draft profile. Geophys. Res. Lett., 18(8), 1437–1440.
Krzanowski, W.J. 1993. Principles of multivariate analysis: a user’s perspective. Oxford, Clarendon Press.
Lachenbruch, P.A. 1975. Discriminant analysis. New York, Hafner Press.
Lewis, J.E., Leppäranta, M. and Granberg, H.B.. 1993. Statistical properties of Sea ice Surface topography in the Baltic Sea. Tellus, 45A(2), 127–142.
Manninen, A.T. 1997. Surface roughness of Baltic Sea ice. J. Geophys. Res., 102(C1), 1119–1140.
Rothrock, D.A. and Thorndike, A.S.. 1980. Geometric properties of the underside of Sea ice. J. Geophys. Res., 85(C7), 3955–3963.
Sayles, R.S. and Thomas, T.R.. 1978. Surface topography as a nonstationary random process. Nature, 271(5644), 431–434.
Shepard, M.K., Campbell, B.A., Bulmer, M.H., Farr, T.G., Gaddis, L.R. and Plaut, J.J.. 2001. The roughness of natural terrain: a planetary and remote Sensing perspective. J. Geophys. Res., 106(E12), 32,777–32,796.
World Meteorological Organization (WMO). 1989. WMO Sea-ice nomenclature. Geneva, World Meteorological Organization. (Publication No. 259, TP145, Suppl. No. 5.)

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed