Ensemble Kalman filter for the reconstruction of the Earth's mantle circulation

Bocher, Marie; Fournier, Alexandre; Coltice, Nicolas

doi:https://doi.org/10.5194/npg-25-99-2018

Articles | Volume 25, issue 1

https://doi.org/10.5194/npg-25-99-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/npg-25-99-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 25, issue 1

Research article

|

16 Feb 2018

Research article |

| 16 Feb 2018

Ensemble Kalman filter for the reconstruction of the Earth's mantle circulation

Marie Bocher, Alexandre Fournier, and Nicolas Coltice

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Final revised paper (published on 16 Feb 2018)
Preprint (discussion started on 20 Feb 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Referees Report', Anonymous Referee #1, 12 Mar 2017
- AC1: 'Answer to the comment of anonymous referee #1', Marie Bocher, 31 Oct 2017
RC2: 'npg-2017-7', Anonymous Referee #2, 25 Aug 2017
- AC2: 'Answer to the comments of anonymous referee \#2', Marie Bocher, 31 Oct 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Marie Bocher on behalf of the Authors (28 Nov 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (30 Nov 2017) by Olivier Talagrand

RR by Jeffrey Anderson (12 Dec 2017)

RR by Anonymous Referee #2 (20 Dec 2017)

ED: Publish subject to technical corrections (02 Jan 2018) by Olivier Talagrand

AR by Marie Bocher on behalf of the Authors (10 Jan 2018) Manuscript

Short summary

We propose a new method to reconstruct the circulation in the Earth's mantle for the last 300 Myr. This method is based on the sequential assimilation of plate layouts obtained from plate tectonic reconstructions into mantle convection models. This method allows us to take into account uncertainties in plate tectonic reconstructions, and provides an estimation of the uncertainties in the final result. We test and validate this method in a controlled environment by using synthetic experiments.