Articles | Volume 25, issue 1
https://doi.org/10.5194/npg-25-99-2018
https://doi.org/10.5194/npg-25-99-2018
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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Cited articles

Anderson, J. L.: A method for producing and evaluating probabilistic forecasts from ensemble model integrations, J. Climate, 9, 1518–1530, 1996.
Anderson, J. L.: Spatially and temporally varying adaptive covariance inflation for ensemble filters, Tellus A, 61, 72–83, 2009.
Anderson, J. L. and Anderson, S. L.: A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts, Mon. Weather Rev., 127, 2741–2758, 1999.
Atkins, S., Valentine, A. P., Tackley, P. J., and Trampert, J.: Using pattern recognition to infer parameters governing mantle convection, Phys. Earth Planet. In., 257, 171–186, 2016.
Bello, L., Coltice, N., Rolf, T., and Tackley, P. J.: On the predictability limit of convection models of the Earth's mantle, Geochem. Geophys. Geosy., 15, 2319–2328, 2014.
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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.