A novel approach to exploit elastic deformation to constrain regional ice mass change in Antarctica
William Durkin (1, 2), Terry Wilson (3), Michael Bevis (3) ((1), Byrd Polar, Climate Research Center, Ohio State University, (2) The MITRE, Corporation, (3) School of Earth Sciences, Ohio State University)

TL;DR
This study demonstrates that elastic deformation observed in the ANET GNSS network can be used to constrain regional ice mass changes in Antarctica, especially with dense GNSS clusters, by modeling and localizing mass loss effects.
Contribution
It introduces a novel Load Sensitivity Kernel (LSK) model to relate GNSS elastic deformation data to regional ice mass change, enabling localization of near-field mass loss effects.
Findings
Most deformation is dominated by far-field mass change.
Over 70% of sites need a radius of 200km or more for 90% deformation recovery.
7 GNSS sites can isolate deformation from specific ice mass loss regions.
Abstract
Across the ANET GNSS network, decadal mass loss of the Antarctic ice sheet drives elastic uplift rates of up to 20 mm/yr. We explore, for the first time, the viability of using elastic deformation observed in the ANET GNSS network to constrain ice mass changes in Antarctica. We begin by estimating which regions of ice mass loss contribute to the elastic deformation observed at each ANET GNSS site. This is done using an observer-centric model of elastic deformation, which we call a Load Sensitivity Kernel (LSK). Using this approach, we find that the elastic deformation at the majority of ANET sites is dominated by far-field mass change. Over 70% of ANET sites require ice mass change within a radius of 200km or greater to be included before 90% of the site's elastic deformation is recovered. We show that the difference between LSKs of a pair of neighboring GNSS receivers can be used to…
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Taxonomy
TopicsCryospheric studies and observations · Arctic and Antarctic ice dynamics · Climate change and permafrost
