Articles | Volume 14, issue 10
The Cryosphere, 14, 3565–3579, 2020
https://doi.org/10.5194/tc-14-3565-2020
The Cryosphere, 14, 3565–3579, 2020
https://doi.org/10.5194/tc-14-3565-2020

Research article 29 Oct 2020

Research article | 29 Oct 2020

Systematic bias of Tibetan Plateau snow cover in subseasonal-to-seasonal models

Wenkai Li et al.

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Interactive discussion

Status: closed
Status: closed
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: Reconsider after major revisions (further review by editor and referees) (28 Aug 2020) by Mark Flanner
AR by Wenkai Li on behalf of the Authors (28 Aug 2020)  Author's response    Manuscript
ED: Reconsider after major revisions (further review by editor and referees) (11 Sep 2020) by Mark Flanner
AR by Wenkai Li on behalf of the Authors (18 Sep 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Sep 2020) by Mark Flanner
RR by Anonymous Referee #1 (24 Sep 2020)
RR by Anonymous Referee #2 (02 Oct 2020)
ED: Publish subject to minor revisions (review by editor) (12 Oct 2020) by Mark Flanner
AR by Wenkai Li on behalf of the Authors (20 Oct 2020)  Author's response    Manuscript
ED: Publish subject to technical corrections (20 Oct 2020) by Mark Flanner
AR by Wenkai Li on behalf of the Authors (21 Oct 2020)  Author's response    Manuscript
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Short summary
Understanding the forecasting skills of the subseasonal-to-seasonal (S2S) model on Tibetan Plateau snow cover (TPSC) is the first step to applying the S2S model to hydrological forecasts over the Tibetan Plateau. This study conducted a multimodel comparison of the TPSC prediction skill to learn about their performance in capturing TPSC variability. S2S models can skillfully forecast TPSC within a lead time of 2 weeks but show limited skill beyond 3 weeks. Systematic biases of TPSC were found.