Articles | Volume 38, issue 2
Ann. Geophys., 38, 331–345, 2020
https://doi.org/10.5194/angeo-38-331-2020
Ann. Geophys., 38, 331–345, 2020
https://doi.org/10.5194/angeo-38-331-2020

Regular paper 16 Mar 2020

Regular paper | 16 Mar 2020

Global total electron content prediction performance assessment of the IRI-2016 model based on empirical orthogonal function decomposition

Shuhui Li et al.

Related subject area

Subject: Earth's ionosphere & aeronomy | Keywords: Climatology of the ionosphere
Climatology of intermediate descending layers (or 150 km echoes) over the equatorial and low-latitude regions of Brazil during the deep solar minimum of 2009
Ângela Machado dos Santos, Inez Staciarini Batista, Mangalathayil Ali Abdu, José Humberto Andrade Sobral, Jonas Rodrigues de Souza, and Christiano Garnett Marques Brum
Ann. Geophys., 37, 1005–1024, https://doi.org/10.5194/angeo-37-1005-2019,https://doi.org/10.5194/angeo-37-1005-2019, 2019
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Cited articles

A, E., Zhang, D.-H., Xiao, Z., Hao, Y.-Q., Ridley, A. J., and Moldwin, M.: Modeling ionospheric foF2 by using empirical orthogonal function analysis, Ann. Geophys., 29, 1501–1515, https://doi.org/10.5194/angeo-29-1501-2011, 2011. 
Abdu, M. A.: Electrodynamics of ionospheric weather over low latitudes, Abdu Geosci. Lett., 3, 11, https://doi.org/10.1186/s40562-016-0043-6, 2016. 
Altadill, D., Magdaleno, S., Torta, J. M., and Blanch, E.: Global empirical models of the density peak height and of the equivalent scale height for quiet conditions, Adv. Space Res., 52, 1756–1769, https://doi.org/10.1016/j.asr.2012.11.018, 2013. 
Andima, G., Amabayo, E. B., Jurua, E., and Cilliers, P. J.: Modeling of GPS total electron content over the African low-latitude region using empirical orthogonal functions, Ann. Geophys., 37, 65–76, https://doi.org/10.5194/angeo-37-65-2019, 2019. 
Atici, R.: Comparison of GPS TEC with modelled values from IRI 2016 and IRI-PLAS over Istanbul, Turkey, Astrophys. Space Sci., 363, 231, https://doi.org/10.1007/s10509-018-3457-0, 2018. 
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The empirical orthogonal function (EOF) decomposition was utilized to analyze the similarities and differences of the spatiotemporal characteristics between GIM TEC and IRI TEC at a global scale. We combined the IRI TEC and GIM TEC data to form a whole data set for EOF decomposition and compared the two data sets. Results show that the daily averaged solar forcing and interhemispheric asymmetry components were the main factors for the deviation between the IRI-2016 and GIM TEC.