Articles | Volume 20, issue 9
https://doi.org/10.5194/tc-20-5099-2026
https://doi.org/10.5194/tc-20-5099-2026
Research article
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10 Sep 2026
Research article | Highlight paper |  | 10 Sep 2026

Evaluating surface mass balance variability from climate models using GPS Bedrock Vertical Time Series data

Jenan Rajavarathan, Matt King, Christopher Watson, and Nicolaj Hansen

Data sets

Surface Mass Balance Loading in Antarctica 1979 - 2022 J. Rajavarathan et al. https://doi.org/10.25959/q6mx-1q31

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Editorial statement
The surface mass balance (SMB) of polar ice sheets is vital to their overall mass gain or loss. However, evaluating SMB across Antarctica is extremely difficult because observations that can validate climate-model estimates are widely lacking. In this manuscript, the authors present a highly original approach to this problem: they use GPS observations to evaluate SMB models. Analysis of GPS data from sites across Antarctica is used to evaluate the variability in SMB from several atmospheric models. The findings are timely and important, especially as more SMB models are available at increasingly fine spatial resolution. Overall, the study contributes valuable insights into estimates of ice-sheet mass variability and its varying contribution to sea-level change.
Short summary
Antarctic surface mass balance (SMB) is a source of major uncertainty in ice-sheet mass balance estimates, but its evaluation remains limited. We introduce a novel method using continuous, bedrock-fixed GPS vertical displacements as a spatially integrated constraint on low-frequency SMB variability over hundreds of kilometres. Applied across Antarctica, it reveals systematic, region-dependent differences with modelled SMB-driven displacements, guiding SMB model refinement.
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