Articles | Volume 12, issue 11
Research article
30 Oct 2018
Research article |  | 30 Oct 2018

Improving Met Office seasonal predictions of Arctic sea ice using assimilation of CryoSat-2 thickness

Edward W. Blockley and K. Andrew Peterson


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ed Blockley on behalf of the Authors (24 Aug 2018)  Author's response    Manuscript
ED: Publish as is (07 Sep 2018) by Joseph MacGregor
Short summary
Arctic sea-ice prediction on seasonal time scales is becoming increasingly more relevant to society but the predictive capability of forecasting systems is low. Several studies suggest initialization of sea-ice thickness (SIT) could improve the skill of seasonal prediction systems. Here for the first time we test the impact of SIT initialization in the Met Office's GloSea coupled prediction system using CryoSat-2 data. We show significant improvements to Arctic extent and ice edge location.