Evaluation of iterative Kalman smoother schemes for multi-decadal past climate analysis with comprehensive Earth system models

García-Pintado, Javier; Paul, André

doi:https://doi.org/10.5194/gmd-11-5051-2018

Articles | Volume 11, issue 12

https://doi.org/10.5194/gmd-11-5051-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-11-5051-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 12

Development and technical paper

|

11 Dec 2018

Development and technical paper |

| 11 Dec 2018

Evaluation of iterative Kalman smoother schemes for multi-decadal past climate analysis with comprehensive Earth system models

Javier García-Pintado and André Paul

Model code and software

rDAF v1.0.0: R data assimilation framework J. García-Pintado https://doi.org/10.5281/zenodo.1489131

rdafEbm1D v1.0.0: rDAF interface for Ebm1D J. García-Pintado https://doi.org/10.5281/zenodo.1489133

rdafCESM v1.0.0: rDAF interface for CESM J. García-Pintado https://doi.org/10.5281/zenodo.1489135

Ebm1D-ad v1.0.0: 1D energy balance model of climate with automatic differentiation A. Paul https://doi.org/10.5281/zenodo.1489952

Short summary

Earth system models (ESMs) integrate interactions of atmosphere, ocean, land, ice, and biosphere to estimate the state of regional and global climate under a variety of conditions. Past climate field reconstructions with deterministic ESMs through the assimilation of climate proxies need to consider the required high computations and model non-linearity. Our tests indicate that iterative schemes based on the Kalman filter and careful sensitivity analysis are adequate for approaching the problem.