TY  - JOUR
A1  - Bergemann, Kay
A1  - Reich, Sebastian
T1  - A mollified ensemble Kalman filter
N2  - 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.
Y1  - 2010
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/32068
UR  - http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1477-870X
SN  - 0035-9009
ER  -