Articles | Volume 14, issue 7
The Cryosphere, 14, 2409–2428, 2020
https://doi.org/10.5194/tc-14-2409-2020
The Cryosphere, 14, 2409–2428, 2020
https://doi.org/10.5194/tc-14-2409-2020

Research article 27 Jul 2020

Research article | 27 Jul 2020

Statistical predictability of the Arctic sea ice volume anomaly: identifying predictors and optimal sampling locations

Leandro Ponsoni et al.

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Interactive discussion

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (15 Apr 2020) by Petra Heil
AR by Lorena Grabowski on behalf of the Authors (30 Apr 2020)  Author's response
ED: Reconsider after major revisions (further review by editor and referees) (15 Jun 2020) by Petra Heil
ED: Publish subject to technical corrections (26 Jun 2020) by Petra Heil
AR by Leandro Ponsoni on behalf of the Authors (02 Jul 2020)  Author's response    Manuscript
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Short summary
The continuous melting of the Arctic sea ice observed in the last decades has a significant impact at global and regional scales. To understand the amplitude and consequences of this impact, the monitoring of the total sea ice volume is crucial. However, in situ monitoring in such a harsh environment is hard to perform and far too expensive. This study shows that four well-placed sampling locations are sufficient to explain about 70 % of the inter-annual changes in the pan-Arctic sea ice volume.