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

Valler, Veronika; Franke, Jörg; Brönnimann, Stefan

doi:https://doi.org/10.5194/cp-15-1427-2019

Articles | Volume 15, issue 4

https://doi.org/10.5194/cp-15-1427-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/cp-15-1427-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 4

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, Jörg Franke, and Stefan Brönnimann

Data sets

Ensemble Kalman Fitting Paleo-Reanalysis Version 1.1 Jörg Franke, Stefan Brönnimann, Jonas Bhend, and Yuri Brugnara https://cera-www.dkrz.de/WDCC/ui/cerasearch/entry?acronym=EKF400_v1.1

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).