Summer Marginal Ice Zone: A Potential Predictor for September Arctic Sea Ice Extent

Abstract The Arctic summer marginal ice zone (MIZ) represents a growing fraction of total sea ice extent (SIE), yet its predictive performance for September Arctic sea ice remains unknown. This study reveals that summer (June–August) MIZ area fraction is an optimal predictor for September Arctic SIE, particularly after 2000, with better forecast skill ( S = 0.66) than summer Arctic SIE ( S = 0.48). Gridded binary MIZ fields alone accurately predict September sea ice coverage (accuracy: 0.80–0.93), but overestimate the extent near the ice edge. Integrating gridded binary MIZ metrics, ice thickness, northward ice velocity, sea surface temperature, and net surface heat flux in peripheral seas mitigates such positive biases, with precision increasing by 0.09. This work highlights summer MIZ properties as key predictors for September sea ice, with predictive performance substantially improved by incorporating additional ice and oceanic variables.

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Publication Details

Journal
Geophysical Research Letters
Published
2026-10-09
DOI
https://doi.org/10.1029/2026gl125515
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
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article

Summer Marginal Ice Zone: A Potential Predictor for September Arctic Sea Ice Extent

Ruibo Lei, Guokun Lyu, Mingshan Qu, Zihan Wang et al.
Geophysical Research Letters
Arctic and Antarctic ice dynamics
article

Summer Marginal Ice Zone: A Potential Predictor for September Arctic Sea Ice Extent

Ruibo Lei, Guokun Lyu, Mingshan Qu, Zihan Wang, Ying Chen, Wenxuan Liu
article en

Abstract

Abstract The Arctic summer marginal ice zone (MIZ) represents a growing fraction of total sea ice extent (SIE), yet its predictive performance for September Arctic sea ice remains unknown. This study reveals that summer (June–August) MIZ area fraction is an optimal predictor for September Arctic SIE, particularly after 2000, with better forecast skill ( S = 0.66) than summer Arctic SIE ( S = 0.48). Gridded binary MIZ fields alone accurately predict September sea ice coverage (accuracy: 0.80–0.93), but overestimate the extent near the ice edge. Integrating gridded binary MIZ metrics, ice thickness, northward ice velocity, sea surface temperature, and net surface heat flux in peripheral seas mitigates such positive biases, with precision increasing by 0.09. This work highlights summer MIZ properties as key predictors for September sea ice, with predictive performance substantially improved by incorporating additional ice and oceanic variables.

Geophysical Research LettersVol. 53(19)
Polar Research Institute of China (CN), Ministry of Natural Resources (CN), Arctic and Antarctic Research Institute (RU)
Openalex Percentile: Top 19%
Arctic and Antarctic ice dynamics
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