COMPARISON RESEARCH OF ENKF AND PARTICLE FILTER IN A SIMPLE MODEL
YANG Shuo
LIU Chang
WU Xin-rong
LI Ning
Abstract：The Ensemble Kalman Filter (EnKF) and Particle Filter (PF) are two kinds of advanced data assimilation methods in the atmospheric and oceanic research.Theoretically,the PF overcomes the Gaussian assumption of the priori distribution in EnKF.But up to now comparison and research on them are incomplete and unsystematic.Based on the Lorenz-63 model and different settings of the observational and model errors,this paper designed four sets of experiments to analyze and compare one kind of deterministic EnKF with the equal-weight PF.The results show that the RMSEs of the EnKF with the optimallyinflatedfactor are lower while those of the equal-weight PF are more dependent on the observation quality.
Keywords：atmospheric environmentdata assimilationEnKFequal-weight particle filter
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：11( 695-705 )