Annales Geophysicae
Annales Geophysicae
ANGEO
Articles | Volume 38, issue 3
Articles | Volume 38, issue 3
https://doi.org/10.5194/angeo-38-725-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-38-725-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 38, issue 3
Regular paper
 | 
16 Jun 2020
Regular paper |  | 16 Jun 2020

Comparison of quiet-time ionospheric total electron content from the IRI-2016 model and from gridded and station-level GPS observations

Gizaw Mengistu Tsidu and Mulugeta Melaku Zegeye

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Cited articles

Acharya, R. and Majumdar, S.: Comparison of observed ionospheric vertical TEC over the sea in Indian region with IRI-2016 model, Adv. Space Res., 63, 1892–1904, 2019. a
AghaKouchak, A. and Mehran, A.: Extended contingency table: Performance metrics for satellite observations and climate model simulations, Water Resour. Res., 49, 7144–7149, https://doi.org/10.1002/wrcr.20498, 2013. a, b
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AghaKouchak, A., Nasrollahi, N., Li, J., Imam, B., and Sorooshian, S.: Geometrical characterization of precipitation patterns, J. Hydrometeorol., 12, 274–285, 2011a. a
Akala, A. O., Somoye, E. O., Adewale, A. O., Ojutalayo, E. W., Karia, S. P., Idolor, R. O., Okoh, D., and Doherty, P. H.: Comparison of GPS-TEC observations over Addis Ababa with IRI-2012 model predictions during 2010–2013, Adv. Space Res., 56, 1686–1698, 2015. a, b
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The performance of the IRI-2016 model in simulating GPS-TEC is assessed based on various statistical tools during two distinct solar activity periods. In particular, the categorical metrics used in the study to assess the performance of the empirical and climatological IRI-2016 model at the margins of the TEC distribution reveal remarkable model skill in simulating the observed tails of the TEC distribution, which is much better than accurately simulating the observed climatology as designed.
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