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A note on digital elevation model smoothing and driving stresses

Citation

McCormack, FS and Roberts, JL and Jong, LM and Young, DA and Beem, LH, A note on digital elevation model smoothing and driving stresses, Polar Research, 38 Article 3498. ISSN 0800-0395 (2019) [Refereed Article]


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Copyright Statement

2019 F. S. McCormack et al. Licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/

DOI: doi:10.33265/polar.v38.3498

Abstract

Ice-flow fields, including the driving stress, provide important information on the current state and evolution of Antarctic and Greenland ice-sheet dynamics. However, computation of flow fields from continent-scale DEMs requires the use of smoothing functions and scales, the choice of which can be ad hoc. This study evaluates smoothing functions and scales for robust calculations of driving stress from Antarctic DEMs. Our approach compares a variety of filters and scales for their capacity to minimize the residual between predicted and observed flow direction fields. We find that a spatially varying triangular filter with a width of 810 ice thicknesses provides the closest match between the observed and predicted flow direction fields. We use the predicted flow direction fields to highlight artefacts in observed Antarctic velocities, demonstrating that comparison of multiple observational data sets has utility for quality control of continent-scale data sets.

Item Details

Item Type:Refereed Article
Keywords:ice sheet dynamics, ice sheet flow, driving stress, ice-flow direction, smoothing filter, Antarctic ice sheet
Research Division:Earth Sciences
Research Group:Physical Geography and Environmental Geoscience
Research Field:Glaciology
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Earth Sciences
UTAS Author:McCormack, FS (Dr Felicity McCormack)
UTAS Author:Roberts, JL (Dr Jason Roberts)
UTAS Author:Jong, LM (Dr Lenneke Jong)
ID Code:135520
Year Published:2019
Deposited By:Oceans and Cryosphere
Deposited On:2019-10-29
Last Modified:2019-11-21
Downloads:3 View Download Statistics

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