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On Producing Sea Ice Deformation Dataset from Sar-derived Sea Ice Motion : Volume 8, Issue 5 (10/10/2014)

By Bouillon, S.

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Book Id: WPLBN0004023103
Format Type: PDF Article :
File Size: Pages 31
Reproduction Date: 2015

Title: On Producing Sea Ice Deformation Dataset from Sar-derived Sea Ice Motion : Volume 8, Issue 5 (10/10/2014)  
Author: Bouillon, S.
Volume: Vol. 8, Issue 5
Language: English
Subject: Science, Cryosphere, Discussions
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Bouillon, S., & Rampal, P. (2014). On Producing Sea Ice Deformation Dataset from Sar-derived Sea Ice Motion : Volume 8, Issue 5 (10/10/2014). Retrieved from http://www.ebooklibrary.org/


Description
Description: Nansen Environmental and Remote Sensing Center, Bergen, Norway. We propose a method to compute nearly noise-free sea ice deformation fields from SAR-derived motion and present the results of its application to RGPS sea ice trajectories. The method is based on two steps. The first step consists of using a triangulation of the positions taken from the sea ice trajectories to define a mesh on which a first estimate of sea ice deformation is computed. The second step consists of applying a specific smoother to the deformation field to reduce the artificial noise that arises along discontinuities in the sea ice motion field. From the comparison between unfiltered and filtered fields, we estimate that the artificial noise causes an overestimation of about 60% of opening and closing. The artificial noise also has a strong impact on the statistical distribution of the deformation and on the scaling exponents estimated with multi-fractal analysis. These findings may have serious implications for previous studies as the constant overestimation of the opening and closing could lead to a large overestimation of freezing in leads, salt rejection and sea ice ridging.

Summary
On producing sea ice deformation dataset from SAR-derived sea ice motion

Excerpt
Girard, L., Weiss, J., Molines, J.-M., Barnier, B., and Bouillon, S.: Evaluation of high-resolution sea ice models on the basis of statistical and scaling properties of Arctic sea ice drift and deformation, J. Geophys. Res., 114, 2156–2202, doi:10.1029/2008JC005182, 2009.; Girard, L., Bouillon, S., Weiss, J., Amitrano, D., Fichefet, T., and Legat, V.: A new modelling framework for sea ice mechanics based on elasto-brittle rheology, Ann. Glaciol., 52, 123–132, 2011.; Hutchings, J. K., Roberts, A., Geiger, C. A., and Richter-Menge, J.: Spatial and temporal characterization of sea-ice deformation, Ann. Glaciol., 52, 360–368, 2011.; Herman, A. and Glowacki, O.: Variability of sea ice deformation rates in the Arctic and their relationship with basin-scale wind forcing, The Cryosphere, 6, 1553–1559, doi:10.5194/tc-6-1553-2012, 2012.; Hollands, T. and Dierking, W.: Performance of a multiscale correlation algorithm for the estimation of sea-ice drift from SAR images: initial results, Ann. Glaciol., 52, 311–317, doi:10.3189/172756411795931462, 2011.; Hutchings, J. K., Heil, P., Steer, A., and Hibler III, W. D.: Subsynoptic scale spatial variability of sea ice deformation in the western Weddell Sea during early summer, J. Geophys. Res., 117, C01002, doi:10.1029/2011JC006961, 2012.; Kwok, R.: Contrasts in sea ice deformation and production in the Arctic seasonal and perennial ice zones, J. Geophys. Res., 111, C11S22, doi:10.1029/2005JC003246, 2006.; Kwok, R. and Cunningham, G.: Seasonal ice area and volume production of the Arctic Ocean: November 1996 through April 1997, J. Geophys. Res., 107, 8038, doi:10.1029/2000JC000469, 2002.; Kwok, R. and Stern, H. L.: Determination of the age distribution of sea ice from Lagrangian observations of ice motion, IEEE T. Geosci. Remote, 33, 392–400, 1995.; Kwok, R., Schweiger, A., Rothrock, D., Pang, S. S., and Kottmeier, C.: Sea ice motion from satellite passive microwave imagery assessed with ERS SAR and buoy motions, J. Geophys. Res., 103, 8191–8214, 1998.; Kwok, R., Hunke, E. C., Maslowski, W., Menemenlis, D., and Zhang, J.: Variability of sea ice simulations assessed with RGPS kinematics, J. Geophys. Res., 113, 2156–2202, doi:10.1029/2008JC004783, 2008.; Lindsay, R. W. and Stern, H. L.: The RADARSAT geophysical processor system: quality of sea ice trajectory and deformation estimates, J. Atmos. Ocean. Tech., 20, 1333–1347, 2003.; Lindsay, R. W., Zhang, J., and Rothrock, D. a.: Sea-ice deformation rates from satellite measurements and in a model, Atmos. Ocean, 41, 35–47, doi:10.3137/ao.410103, 2003.; Marsan, D., Stern, H. L., Lindsay, R., and Weiss, J.: Scale dependence and localization of the deformation of Arctic sea ice, Phys. Rev. Lett., 93, 178501–178504, doi:10.1103/PhysRevLett.93.178501, 2004.; Rampal, P., Weiss, J., Marsan, D., Lindsay, R., and Stern, H. L.: Scaling properties of sea ice deformation from buoy dispersion analysis, J. Geophys. Res., 113, C03002, doi:10.1029/2007JC004143,, 2008.; Stern, H. L. and Lindsay, R.: Spatial scaling of Arctic sea ice deformation, J. Geophys. Res., 114, C10017, doi:10.1029/2009JC005380, 2009.; Thomas, M., Geiger, C. A., and Kambhamettu, C.: High resolution (400 m) motion characterization of sea ice using ERS-1 SAR imagery, Cold Reg. Sci. Technol., 52, 207–2

 

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