Abstract
Crafting a zero-mean Gaussian noise numerical experiment, we examine the relationship between the temporal-spatio resolution of any given instrument and the impact that resolution window has on the propagation of error associated with the computation of sea-ice position, velocity, and deformation. These results are characterized through a fitted curve model describing agreement between two data sets (a pure signal and a noise corrupted signal) as a function of time sampling and spatial uncertainty. Using two example instruments (SAR and SSM/I), we demonstrate how this method can be applied to a variety of instruments to estimate the precision of motion vector products given an instrument’s chosen temporal and spatial resolution. Relevance to future satellite designs and preprocessing of current data sets is also discussed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Drinkwater, M.R., 1998a. Active Microwave Remote Sensing Observations of Weddell Sea Ice. In Antarctic Sea Ice: Physical Processes, Interactions and Variability, Anarct. Res. Ser. 74: 187–212. Ed. M.O. Jeffries, AGU, Washington, D.C.
Drinkwater, M.R., 1998b. Satellite Microwave Radar Observations of Antarctic Sea Ice. In Analysis of SAR Data of the Polar Oceans, 8: 145–187, Eds. C. Tsatsoulis and R. Kwok, Springer-Verlag, Berlin.
Fily, M. and Rothrock D.A., 1987. Sea ice tracking by nested correlations. IEEE Trans. Geosci. Remote Sens. 25: 570–580.
Foldvik, A., Middleton, H.H., and Foster, T.D., 1990. The tides of the southern Weddell Sea. Deep Sea Res. 37: 1345–1362.
Geiger, C.A., Zhao, Y., Liu, A.K., Häkkinen, S.M., 2000. Large-scale comparison between buoy and SSM/I drift and deformation in the Eurasian Basin during winter 1992–1993. J. Geophys. Res. 105: 3357–3368.
Geiger, C.A., Ackley, S.F., and Hibler III, W.D., 1998. Sea ice drift and deformation processes in the western Weddell Sea. In Antarctic Sea Ice: Physical Processes, Interactions and Variability, Anarct. Res. Ser. 74: 141–160. Ed. M.O. Jeffries, AGU, Washington, D.C.
Hibler III, W.D., Weeks, W.F., Kovacs, A., and Ackley, S.F., 1974. Differential sea ice drift. Part 1: Spatial and temporal variations in sea ice deformation. J. Glaciol. 13: 437–455.
Hines, W.W. and Montgomery, D.C., 1990. Multiple Regression. In Probability and Statistics in Engineering and Management Science. (3rd Edition) 15: 487–558. John Wiley, New York.
Kwok, R., Schweiger, A., Rothrock, D.A., Pang, S., and Kottmeier, C., 1998. Sea ice motion from from satellite passive microwave imagery assessed with ERS SAR and buoy motions. J. Geophys. Res. 103: 8191–8214.
Li, S., Cheng, Z., and Weeks, W.F., 1998. Extraction of intermediate scale sea ice deformation parameters from SAR ice motion products. In Analysis of SAR Data of the Polar Oceans. pp. 69–90 Eds. C. Tsatsoulis and R. Kwok, Springer-Verlag, New York.
Lemke, P. (editor), 1994. The expedition ANTARKTIS X/4 of R/V Polarstern in 1992. Reports on Polar Research 140, pps. 99. Alfred Wegener Institut für Polar- und Meeresforschung, D-27568, Bremerhaven, Germany.
Liu, A.K. and Cavalieri, D.J., 1998. On sea ice drift from the wavelet analysis of the Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave Imager (SSM/I) data. Int. J. Remote Sens. 19: 1415–1423.
Massom, R. A., 1992. Observing the advection of sea ice in the Weddell Sea using buoy and satellite passive microwave data. J. Geophys. Res. 79: 15559–15572.
Maslanik, J., Agnew, T., Drinkwater, M.R., Emery, W., Fowler, C., Kwok, R., and Liu, A.K., 1998. Summary of ice-motion mapping using passive microwave data. pp. 1–25. Boulder, CO: Report prepared for the Polar Data Advisory Group, NASA Snow and Ice Distributed Active Archive Center, National Snow and Ice Data Center.
Moritz, R.E., Runciman, K.A., and Colony, R., August 1999. Observed variability of monthly sea ice velocity and surface geostrophic winds: 1979–1996. Proceedings from The Arctic Buoy Programme, Seattle, Washington, USA, 3–4 August, 1998. Sponsored by WMO/IOC, International Arctic Buoy Programme, IAPO Informal Report No. 4.
Padman, L., and C. Kottmeier, 2000. High-frequency ice motion and divergence in the Weddell Sea. J. Geophys. Res. 105: 3379–3400.
Thorndike, A.S., 1986. Kinematics of sea ice. In The Geophysics of Sea Ice. NATO ASI Series, Series B, Vol. 146. 7: 489–549. Ed. N. Untersteiner, Plenum, New York.
Willmott, C.J., Ackleson, S.G., Davis, R.E., Feddema, J.J., Klink, K.M., Legates, D.R., O’Donnell, J., and Rowe, C.M., 1985. Statistics for the evaluation and comparison of models. J. Geophys. Res. 90: 8995–9005.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Geiger, C.A., Drinkwater, M.R. (2001). Impact of Temporal-Spatio Resolution on Sea-Ice Drift and Deformation. In: Dempsey, J.P., Shen, H.H. (eds) IUTAM Symposium on Scaling Laws in Ice Mechanics and Ice Dynamics. Solid Mechanics and Its Applications, vol 94. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9735-7_34
Download citation
DOI: https://doi.org/10.1007/978-94-015-9735-7_34
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5890-4
Online ISBN: 978-94-015-9735-7
eBook Packages: Springer Book Archive