Articles | Volume 13, issue 5
https://doi.org/10.5194/cp-13-421-2017
https://doi.org/10.5194/cp-13-421-2017
Research article
 | 
08 May 2017
Research article |  | 08 May 2017

Reconstructing paleoclimate fields using online data assimilation with a linear inverse model

Walter A. Perkins and Gregory J. Hakim

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Latest update: 27 Mar 2024
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Short summary
We examine the skill of a novel data assimilation approach to paleoclimate reconstruction that uses linear climate model forecasts. Many reconstruction studies forego the use of forecasts from climate models due to their high computational expense and relatively low skill. We show that the use of simpler linear models can improve reconstruction skill for both global mean temperature and spatial fields. Improvements displayed seem to be related to dynamical constraints from the forecasts.