The Evaluation of a New Model of Sun Activity with Data Assimilation Technique / Safiullin N. T.,Porshnev V // . - 2016. - V. , l. .

ISSN/EISSN:

2381-7593 / нет данных

Type:

Proceedings Paper

Abstract:

In this paper a new model of sun activity based on negative effective magnetic pressure instability approach was evaluated with data assimilation scheme and validated on the observation vector of Wolf sunspot number. As the main data assimilation technique the Stochastic Ensemble Kalman Filter (SEnKF) has been chosen. With this adaptive approach we estimated and updated the initial state and parameters of the described model. After some additional implementations the model has been validated on all solar activity cycles leading to plausible results. The overall resulting relative error between observed monthly sunspot number and simulated sunspot number is less than 15\%.

Author keywords:

data assimilation; time series analysis; solar activity simulation; initial state estimation; Kalman filter

DOI:

нет данных

Web of Science ID:

ISI:000399463100115

Соавторы в МНС:

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Другие поля

Поле	Значение
Editor	Kosykh, A
Booktitle	2016 DYNAMICS OF SYSTEMS, MECHANISMS AND MACHINES (DYNAMICS)
Series	Dynamics of Systems Mechanisms and Machines
Note	10th IEEE International Scientific and Technical Conference on Dynamics of Systems, Mechanisms and Machines (Dynamics), Omsk, RUSSIA, NOV 15-17, 2016
Organization	IEEE
Publisher	IEEE
Address	345 E 47TH ST, NEW YORK, NY 10017 USA
Language	English
ISBN	978-1-5090-4049-0
Research-Areas	Engineering; Mechanics; Telecommunications
Web-of-Science-Categories	Engineering, Mechanical; Mechanics; Telecommunications
Author-Email	aitsnt@gmail.com
Number-of-Cited-References	11
Usage-Count-Last-180-days	2
Usage-Count-Since-2013	2
Doc-Delivery-Number	BH2XR