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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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NPG | Articles | Volume 25, issue 2
Nonlin. Processes Geophys., 25, 355–374, 2018
https://doi.org/10.5194/npg-25-355-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Nonlin. Processes Geophys., 25, 355–374, 2018
https://doi.org/10.5194/npg-25-355-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 03 May 2018

Research article | 03 May 2018

Feature-based data assimilation in geophysics

Matthias Morzfeld et al.
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Matthias Morzfeld on behalf of the Authors (30 Jan 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (06 Feb 2018) by Amit Apte
RR by Anonymous Referee #2 (26 Feb 2018)
RR by Anonymous Referee #3 (05 Apr 2018)
ED: Publish subject to technical corrections (10 Apr 2018) by Amit Apte
AR by Matthias Morzfeld on behalf of the Authors (10 Apr 2018)  Author's response    Manuscript
Publications Copernicus
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Short summary
Many applications in science require that computational models and data be combined. In a Bayesian framework, this is usually done by defining likelihoods based on the mismatch of model outputs and data. However, matching model outputs and data in this way can be unnecessary or impossible. This issue can be addressed by selecting features of the data, and defining likelihoods based on the features, rather than by the usual mismatch of model output and data.
Many applications in science require that computational models and data be combined. In a...
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