Articles | Volume 16, issue 3
The Cryosphere, 16, 1141–1156, 2022
The Cryosphere, 16, 1141–1156, 2022
Research article
01 Apr 2022
Research article | 01 Apr 2022

Reassessing seasonal sea ice predictability of the Pacific-Arctic sector using a Markov model

Yunhe Wang et al.


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2021-284', Anonymous Referee #1, 17 Oct 2021
  • RC2: 'Comment on tc-2021-284', Anonymous Referee #2, 20 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (21 Jan 2022) by Michel Tsamados
AR by Yunhe Wang on behalf of the Authors (24 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (01 Mar 2022) by Michel Tsamados
Short summary
We develop a regional linear Markov model consisting of four modules with seasonally dependent variables in the Pacific sector. The model retains skill for detrended sea ice extent predictions for up to 7-month lead times in the Bering Sea and the Sea of Okhotsk. The prediction skill, as measured by the percentage of grid points with significant correlations (PGS), increased by 75 % in the Bering Sea and 16 % in the Sea of Okhotsk relative to the earlier pan-Arctic model.