Articles | Volume 15, issue 4
Clim. Past, 15, 1427–1441, 2019
https://doi.org/10.5194/cp-15-1427-2019
Clim. Past, 15, 1427–1441, 2019
https://doi.org/10.5194/cp-15-1427-2019

Research article 02 Aug 2019

Research article | 02 Aug 2019

Impact of different estimations of the background-error covariance matrix on climate reconstructions based on data assimilation

Veronika Valler 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 (14 Apr 2019) by Bjørg Risebrobakken
AR by Veronika Valler on behalf of the Authors (05 Jun 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (12 Jun 2019) by Bjørg Risebrobakken
RR by Anonymous Referee #1 (24 Jun 2019)
ED: Publish as is (26 Jun 2019) by Bjørg Risebrobakken
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Short summary
In recent years, the data assimilation approach was adapted to the field of paleoclimatology to reconstruct past climate fields by combining model simulations and observations. To improve the performance of our paleodata assimilation system, we tested various techniques that are well established in weather forecasting and evaluated their impact on assimilating instrumental data and proxy records (tree rings).