Articles | Volume 26, issue 3
Nonlin. Processes Geophys., 26, 175–193, 2019
https://doi.org/10.5194/npg-26-175-2019
Nonlin. Processes Geophys., 26, 175–193, 2019
https://doi.org/10.5194/npg-26-175-2019

Research article 24 Jul 2019

Research article | 24 Jul 2019

Data assimilation using adaptive, non-conservative, moving mesh models

Ali Aydoğdu et al.

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Latest update: 14 May 2021
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Short summary
Computational models involving adaptive meshes can both evolve dynamically and be remeshed. Remeshing means that the state vector dimension changes in time and across ensemble members, making the ensemble Kalman filter (EnKF) unsuitable for assimilation of observational data. We develop a modification in which analysis is performed on a fixed uniform grid onto which the ensemble is mapped, with resolution relating to the remeshing criteria. The approach is successfully tested on two 1-D models.