2011Chinese Journal of Radio ScienceRequires access

Method for short-term forecasting of ionospheric tatal electron content in Chinese region

Hu Hongqiao

Open publisher page 1 citations

Abstract

Ionospheric TEC is one of the main ionospheric characteristics,which has important influence on the radio systems such as the communication,the positioning,the radar and the navigation systems.In this paper,an algorithm for calculating continuous time series of ionospheric TEC over GPS station is given,and based on the calculation,a short-term forecasting method is proposed for the ionospheric TEC in China region.This method consists of two parts: the single station forecasting and the regional ionospheric reconstruction.The auto-correlation method is adopted in the single station forecasting,having capability to predict the ionospheric TEC from 15 minutes up to 24 hours in advance.The corrected Kriging method is used in the regional ionospheric reconstruction.Based on the measurement data from 33 stations in China and its surrounding area,the short-term forecasting of the ionospheric TEC has been realized,giving the estimate of the prediction errors.Possible ways are discussed for improving the accuracy of the prediction.The real-time data from low latitudes or boundry stations are significant for improving the ionospheric TEC forecasting in China region.

About this research paper

What this paper is about

Ionospheric TEC is one of the main ionospheric characteristics,which has important influence on the radio systems such as the communication,the positioning,the radar and the navigation systems.In this paper,an algorithm for calculating continuous time series of ionospheric TEC over GPS station is given,and based on the calculation,a short-term forecasting method is proposed for the ionospheric TEC in China region.This method consists of two parts: the single station forecasting and the regional ionospheric reconstruction.The auto-correlation method is adopted in the single station forecasting,having capability to predict the ionospheric TEC from 15 minutes up to 24 hours in advance.The corrected Kriging method is used in the regional ionospheric reconstruction.Based on the measurement data from 33 stations in China and its surrounding area,the short-term forecasting of the ionospheric TEC has been realized,giving the estimate of the prediction errors.Possible ways are discussed for improving the accuracy of the prediction.The real-time data from low latitudes or boundry stations are significant for improving the ionospheric TEC forecasting in China region.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Ionospheric TEC is one of the main ionospheric characteristics,which has important influence on the radio systems such as the communication,the positioning,the radar and the navigation systems.In this paper,an algorithm for calculating continuous time series of ionospheric TEC over GPS station is given,and based on the calculation,a short-term forecasting method is proposed for the ionospheric TEC in China region.This method consists of two parts: the single station forecasting and the regional ionospheric reconstruction.The auto-correlation method is adopted in the single station forecasting,having capability to predict the ionospheric TEC from 15 minutes up to 24 hours in advance.The corrected Kriging method is used in the regional ionospheric reconstruction.Based on the measurement data from 33 stations in China and its surrounding area,the short-term forecasting of the ionospheric TEC has been realized,giving the estimate of the prediction errors.Possible ways are discussed for improving the accuracy of the prediction.The real-time data from low latitudes or boundry stations are significant for improving the ionospheric TEC forecasting in China region.

Key concepts: TEC, Ionosphere, Global Positioning System, Total electron content, Meteorology, Kriging, Environmental science, Term (time)

Related papers

Back to paper searchBrowse research topicsOriginal source
Method for short-term forecasting of ionospheric tatal electron content in Chinese region — Research Paper | ScholarLens