Preprints
https://doi.org/10.5194/egusphere-2026-3461
https://doi.org/10.5194/egusphere-2026-3461
08 Jul 2026
 | 08 Jul 2026
Status: this preprint is open for discussion and under review for The Cryosphere (TC).

Climatic controls on interannual mass balance of Arctic glaciers and ice caps

Xiaojun Ma, Matt King, Jonathan Bamber, Bin Liu, Wenke Sun, and Qiuyu Wang

Abstract. Interannual variability in glacier and ice cap (GIC) mass balance can be large amplitude, masking the underlying decadal trends associated with external forcing. Here we apply Independent Component Analysis (ICA) to global GIC mass anomalies derived from the Gravity Recovery and Climate Experiment (GRACE) mission and GRACE Follow-On (GRACE-FO) satellite gravimetry missions over 2002–2024. We show that Arctic glacier regions dominate the leading interannual variability in the global gravimetry record, and account for more than two-thirds of recent global GIC mass loss. Two leading Arctic ICA modes explain ~75 % of interannual variance and are associated with North Atlantic Oscillation (NAO)- and Pacific Decadal Oscillation (PDO)-related multi-year climate variability. Multiple linear regression further shows that variability linked to these climate modes explains much of the interannual glacier-mass variability in Arctic glacier regions and significantly affects trend estimates. This effect is most pronounced in Alaska, where the uncorrected trend is about 25 % less negative than the value after accounting for this variability (−69 ± 21 Gt yr⁻¹ versus −92 ± 16 Gt yr⁻¹). These results suggest that persistent North Atlantic and Pacific circulation variability can substantially change regional glacier mass loss, with direct implications for interpreting recent Arctic glacier change and their secular trends driven by external forcing.

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Xiaojun Ma, Matt King, Jonathan Bamber, Bin Liu, Wenke Sun, and Qiuyu Wang

Status: open (until 19 Aug 2026)

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Xiaojun Ma, Matt King, Jonathan Bamber, Bin Liu, Wenke Sun, and Qiuyu Wang
Xiaojun Ma, Matt King, Jonathan Bamber, Bin Liu, Wenke Sun, and Qiuyu Wang
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Short summary
Satellite records of glacier change are only about two decades long, so short-term climate swings can strongly affect estimated trends. Using satellite gravity data, we show that the largest year-to-year changes in global glacier mass come from the Arctic and are linked to the North Atlantic Oscillation and Pacific Decadal Oscillation. Accounting for these effects makes Alaska’s estimated ice loss about one-third larger, improving interpretation of glacier change and future sea-level rise.
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