A Space Weather Forecasting System with Multiple Satellites Based on a Self-Recognizing Network

Sensors

Masahiro Tokumitsu¹ 

[1] Department of Electrical and Control Engineering, Yonago National College of Technology, Hikonacho 4448, Yonago, Tottori 683-0854, Japan

关键词: self-recognizing network;    sensor networks;    space weather;    in-situ sensing;   

DOI  :  10.3390/s140507974

来源: mdpi

【 摘 要 】

This paper proposes a space weather forecasting system at geostationary orbit for high-energy electron flux (>2 MeV). The forecasting model involves multiple sensors on multiple satellites. The sensors interconnect and evaluate each other to predict future conditions at geostationary orbit. The proposed forecasting model is constructed using a dynamic relational network for sensor diagnosis and event monitoring. The sensors of the proposed model are located at different positions in space. The satellites for solar monitoring equip with monitoring devices for the interplanetary magnetic field and solar wind speed. The satellites orbit near the Earth monitoring high-energy electron flux. We investigate forecasting for typical two examples by comparing the performance of two models with different numbers of sensors. We demonstrate the prediction by the proposed model against coronal mass ejections and a coronal hole. This paper aims to investigate a possibility of space weather forecasting based on the satellite network with in-situ sensing.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.