Articles | Volume 12, issue 6
https://doi.org/10.5194/cp-12-1375-2016
https://doi.org/10.5194/cp-12-1375-2016
Research article
 | 
24 Jun 2016
Research article |  | 24 Jun 2016

Multi-timescale data assimilation for atmosphere–ocean state estimates

Nathan Steiger and Gregory Hakim

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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 (24 Nov 2015) by Hugues Goosse
AR by Nathan Steiger on behalf of the Authors (22 Feb 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 Feb 2016) by Hugues Goosse
RR by James Annan (04 Mar 2016)
RR by Anonymous Referee #1 (14 Mar 2016)
ED: Reconsider after major revisions (08 Apr 2016) by Hugues Goosse
AR by Nathan Steiger on behalf of the Authors (21 May 2016)  Author's response    Manuscript
ED: Publish as is (27 May 2016) by Hugues Goosse
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Short summary
We present a data assimilation algorithm that incorporates proxy data at arbitrary timescales. Within a synthetic-test framework, we find that atmosphere–ocean states are most skillfully reconstructed by incorporating proxies across multiple timescales compared to using them at short or long timescales alone. Additionally, reconstructions that incorporate long-timescale proxies improve the low-frequency components of the reconstructions relative to using only high-resolution proxies.