Comparative testing of empirical, data assimilation and physics-based ionospheric/thermospheric models

S. Elvidge, M. J. Angling

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper compares and describes the ability of empirical, data assimilation and physics based ionospheric/thermospheric models to provide profiles of electron density below the peak of the F2 layer. A median empirical model, three data assimilation models and two different approaches to physics-based modelling are considered. A modified Taylor diagram is used to compare the second-order statistics of the foF2, hmF2 and h(0.8foF2) parameters simultaneously. The paper provides a preliminary study in understanding the effectiveness of using physics-based models as the background in Kalman filter data assimilation schemes. It is shown that the data assimilation models perform best followed by the median model and finally the physics based models.

Original languageEnglish
Title of host publication2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781467352253
DOIs
Publication statusPublished - 17 Oct 2014
Event31st General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2014 - Beijing, China
Duration: 16 Aug 201423 Aug 2014

Conference

Conference31st General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2014
Country/TerritoryChina
CityBeijing
Period16/08/1423/08/14

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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