Predicting Melt Pond Coverage on Arctic Sea Ice From Pre‐Melt Surface Topography

Abstract Sea‐ice melt ponds form in the depressions of pre‐melt surface topography, a process widely accepted yet lacking larger‐scale evaluation through explicit comparisons. During MOSAiC, we collected multi‐dimensional aerial data to examine the relationship between pre‐melt surface topography and melt pond evolution across an entire Arctic ice floe. Using hydrological models, we analyze the correlation between potential meltwater accumulation areas identified in winter and spring topographies, available meltwater, and observed pond coverage. Our findings demonstrate a strong connection, revealing a 72% accuracy in matching low areas to melt ponds, with 98% of basins deeper than 0.5 m transforming into ponds. Incorporating assumptions regarding meltwater availability improve predictions of melt pond fraction and highlight key factors driving extensive lateral runoff networks on the floe. No significant differences are observed between first‐ and second‐year ice. This study provides valuable ground truth for future modeling and measurements of pond formation.

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Publication Details

Journal
Geophysical Research Letters
Published
2025-05-08
DOI
https://doi.org/10.1029/2025gl115033
Citations
1
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
1.30

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article

Predicting Melt Pond Coverage on Arctic Sea Ice From Pre‐Melt Surface Topography

Gerit Birnbaum, Melinda Webster, Andreas Wernecke, Niels Fuchs et al.
1 citations
Geophysical Research Letters
Arctic and Antarctic ice dynamics
1.30
article

Predicting Melt Pond Coverage on Arctic Sea Ice From Pre‐Melt Surface Topography

Gerit Birnbaum, Melinda Webster, Andreas Wernecke, Niels Fuchs, Niklas Neckel, Torbjoern Kagel
article en
1 citations

Abstract

Abstract Sea‐ice melt ponds form in the depressions of pre‐melt surface topography, a process widely accepted yet lacking larger‐scale evaluation through explicit comparisons. During MOSAiC, we collected multi‐dimensional aerial data to examine the relationship between pre‐melt surface topography and melt pond evolution across an entire Arctic ice floe. Using hydrological models, we analyze the correlation between potential meltwater accumulation areas identified in winter and spring topographies, available meltwater, and observed pond coverage. Our findings demonstrate a strong connection, revealing a 72% accuracy in matching low areas to melt ponds, with 98% of basins deeper than 0.5 m transforming into ponds. Incorporating assumptions regarding meltwater availability improve predictions of melt pond fraction and highlight key factors driving extensive lateral runoff networks on the floe. No significant differences are observed between first‐ and second‐year ice. This study provides valuable ground truth for future modeling and measurements of pond formation.

Geophysical Research LettersVol. 52(9)
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (DE), Universität Hamburg (DE), Utrecht University (NL), University of Washington (US), Johns Hopkins University Applied Physics Laboratory (US)
National Science Foundation, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 23%
Arctic and Antarctic ice dynamics
1.30
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Predicting Melt Pond Coverage on Arctic Sea Ice From Pre‐Melt Surface Topography — Gerit Birnbaum, Melinda Webster, et al. · Geophysical Research Letters (2025) | TGRS Research Map | TGRS