Best Accuracy Of Data Assimilation In State-Space Using quadrature Ensemble Square Root Filter
Publish place: International Conference on Science and Engineering
Publish Year: 1394
Type: Conference paper
Language: English
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Document National Code:
ICESCON01_0014
Index date: 14 February 2016
Best Accuracy Of Data Assimilation In State-Space Using quadrature Ensemble Square Root Filter 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
Best Accuracy Of Data Assimilation In State-Space Using quadrature Ensemble Square Root Filter Keywords:
State Space , Data Assimilation , Ensemble Kalman Filter (EnKF) , Quadrature Ensemble Square Root Filter (qEnSRF)
Best Accuracy Of Data Assimilation In State-Space Using quadrature Ensemble Square Root Filter authors
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 161158131, Tehran, Iran.
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