Cluster ensemble Kalman filter

被引：40

作者：

Smith, Keston W. ^{[1
]}

机构：

[1] Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA

来源：

TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY | 2007年 / 59卷 / 05期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1111/j.1600-0870.2007.00246.x

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

A modified ensemble Kalman filter (KF) is proposed which can enhance performance for highly non-linear prognostic models. The algorithm differs from the traditional ensemble KF by the addition of an expectation maximization step, which estimates the parameters of a Gaussian mixture model for the ensemble of forecast states. The algorithm is tested in twin experiments using a simple phytoplankton-zooplankton model.

引用

页码：749 / 757

页数：9

共 12 条

[1] An Ensemble Kalman filter with a 1-D marine ecosystem model [J].