A mollified ensemble Kalman filter
- It is well recognized that discontinuous analysis increments of sequential data assimilation systems, such as ensemble Kalman filters, might lead to spurious high-frequency adjustment processes in the model dynamics. Various methods have been devised to spread out the analysis increments continuously over a fixed time interval centred about the analysis time. Among these techniques are nudging and incremental analysis updates (IAU). Here we propose another alternative, which may be viewed as a hybrid of nudging and IAU and which arises naturally from a recently proposed continuous formulation of the ensemble Kalman analysis step. A new slow-fast extension of the popular Lorenz-96 model is introduced to demonstrate the properties of the proposed mollified ensemble Kalman filter.
Author details: | Kay Bergemann, Sebastian ReichORCiDGND |
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URL: | http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1477-870X |
DOI: | https://doi.org/10.1002/Qj.672 |
ISSN: | 0035-9009 |
Publication type: | Article |
Language: | English |
Year of first publication: | 2010 |
Publication year: | 2010 |
Release date: | 2017/03/25 |
Source: | Quarterly journal of the Royal Meteorological Society. - ISSN 0035-9009. - 136 (2010), 651, S. 1636 - 1643 |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Mathematik |
Peer review: | Referiert |