作者: Eugenia Kalnay
DOI: 10.1007/978-3-540-74703-1_4
关键词: Simplicity (photography) 、 Ensemble Kalman filter 、 Data assimilation 、 Control theory 、 Alpha beta filter 、 Current (mathematics) 、 Kalman filter 、 Extended Kalman filter 、 Fast Kalman filter 、 Computer science
摘要: In this chapter we give an introduction to different types of Ensemble Kalman filter, describe the Local Transform Filter (LETKF) as a representative prototype these methods, and several examples how advanced properties applications that have been developed explored for 4D-Var (four-dimensional variational assimilation) can be adapted LETKF without requiring adjoint model. Although filter is less mature than (Kalnay 2003), its simplicity competitive performance with respect suggest it may become method choice.