کنفرانس بین المللی علوم و مهندسی دبی- امارت
ساعت ۸:٤٦ ‎ب.ظ روز ۱۳٩٥/۳/۱۸   کلمات کلیدی: عزت الله فریدنیا ،دکتر محمدعلی فریبرزی عراقی ،ezzatallah faridnia ،روش فیلتر کالمن

  International Conference on  science and engineering , Dubai.UAE 2015

  

Best Accuracy Of Data Assimilation In State-Space Using

quadrature Ensemble Square Root Filter

Ezzatallah Faridnia

Young Researchers club, Central Tehran Branch, Islamic Azad University, Tehran, Iran

Mohammad Ali Fariborzi Araghi

Department of Mathematic, Islamic Azad University, Central Tehran branch, P.O.Box 13185.768, Tehran, Iran.

Abstract

 in this article, we will describe Quadrature Ensemble Square Root Filter (qEnSRF). The qEnSRF is combined of Quadrature Ensemble Kalman Filter (qEnKF) and Ensemble Square Root Filter (EnSRF). For estimateing and predicting of data in econometric models and in state-space we are going to use Ensemble Kalman Filter. Ensemble Kalman Filter (EnKF) is a method based on assimilation data sequence which is used in a wide range. Then by introducing of the error of Quadrature Ensemble Square Root Filter (qEnSRF) we observe that the error of sampling is reduced significantly.

Keywords: State Space, Data Assimilation, Ensemble Kalman Filter (EnKF), Quadrature Ensemble Square Root Filter (qEnSRF).

**این مقاله در آذر ماه 1394 در کنفرانس بین المللی علوم و مهندسی که در  کشور امارت در دبی برگزار گردید پذیرفته شد **