Note concerning the International Reference Ionosphere

Rawer, K.

doi:10.1016/0021-9169(84)90048-5

Cited by 12 publications

(13 citation statements)

References 2 publications

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“…The model describes monthly averages of the electron density, electron and ion temperature, total electron content (TEC), and ion composition as a function of height, location, and local time. Several major milestone editions of IRI were released by the IRI Working Group since the 1970s in order to constantly revising the model to remain it up to date and accurate as possible (Rawer et al, 1978a(Rawer et al, , 1978b(Rawer et al, , 1981Bilitza, 1990Bilitza, , 2001Bilitza and Rawer, 1996;Bilitza and Reinisch, 2008;Bilitza et al, 2014Bilitza et al, , 2017. The latest version is known as IRI-2016 and has important improvements over the and 2007versions (IRI-2012and IRI-2007).…”

Section: Introductionmentioning

confidence: 99%

Performance of the IRI-2016 at the Brazilian low-latitude ionosphere over the South America Magnetic Anomaly during solar minimum

Moro

Nardin

et al. 2019

Preprint

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Abstract. In this work we analyse the ionograms obtained by the recent Digisonde installed in Santa Maria (29.7º S, 53.7º W, dip angle = − 37º), Brazil, to calculate the monthly averages of the F2 layer critical frequency (foF2), its peak height (hmF2), and the E-region critical frequency (foE) acquired during geomagnetically quiet days from September 2017 to August 2018. The monthly averages are compared to the 2016 version of the International Reference Ionosphere (IRI) model predictions in order to study its performance close to the center of the South America Magnetic Anomaly (SAMA), which is a region particularly important for High Frequency (HF) ground-to-satellite navigation signals. The foF2 estimated with the Consultative Committee International Radio (CCIR) and International Union of Radio Science (URSI) options predicts well throughout the year. Whereas, for hmF2, it is recommended to use the SHU-2015 option instead of the other available options (AMTB2013 and BSE-1979). The IRI-2016 model outputs for foE and the observations presented very good agreements.

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Section: Introductionmentioning

confidence: 99%

Performance of the IRI-2016 at the Brazilian low-latitude ionosphere over the South America Magnetic Anomaly during solar minimum

Moro

Nardin

et al. 2019

Preprint

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“…In order to facilitate an easy comparison with the other two, the iSI model is also normalized at the F2-peak. Such a modification is also relevant (Rawer 1984). The two models along with the observational profile are shown for different seasons and solar activities in figures 1 and 2.…”

Section: Comparison Between the Observation And Model Profilesmentioning

confidence: 89%

Comparison of electron density models with incoherent scatter radar observations at the equator

Kumar

Rao

1985

J Earth Syst Sci

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This paper points out certain discrepancies when the incoherent scatter radar observations at Jic~marca and the electron density models, (the Bent and IRI) were compared. In all cases the bottomside semi-thickness of the observed profile was significantly greater than that of both Bent and IRI models. The decay constants associated with the topside ionosphere for the observed profiles were generally greater than that of the two models, the difference being more pronounced in the I~! model. The results call for a revision of the models so that they accurately represent the electron density distribution at the equator.

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“…The International Reference Ionosphere (IRI) model (Rawer et al , 1981Bilitza 1990Bilitza , 2001 is not a theoretical model but an empirical standard ionosphere model based on many data sources including the worldwide network of more than one hundred ionosondes, the powerful incoherent scatter radars (Jicamarca, arecibo, Millstone Hill, Malvern, St. Santin), the ISIS and Alouette topside sounders, and in situ instruments on several satellites and rockets. In this paper, we use the IRI-2001 model of monthly averages in the non-auroral ionosphere for magnetically quiet conditions.…”

Section: Tec Simulations Using the Irimentioning

confidence: 99%

Ionospheric Tomography from a Reference GPS/MET Experiment Through the IRI Model

Tsai¹,

Tsai²,

Chou³

et al. 2006

Terr. Atmos. Ocean. Sci.

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In earlier studies, we implemented the Multiplicative Algebraic Reconstruction Technique (MART) to reconstruct two-dimensional ionospheric structures from measured TECs through the receptions of the GPSto-LEO signals and/or the NNSS-to-ground beacon signals. To examine the accuracy of the reconstructed image we need ground-based validation systems which are difficult to obtain. However, such comparative investigation is needed if one aims to improve tomography inverse techniques and algorithms. In this study, we propose a simulation scheme to carry out this task. We first simulate the GPS-to-LEO TEC measurements through the IRI model by integrating electron densities along the "straight" ray occultation paths between the GPS and LEO satellite obtained from the real GPS/MET experiment. Contiguous tomographic images are then derived by the MART algorithm within the "reference" GPS/MET experiment. They are verified by comparison with the "true" IRI-modelled ionosphere. We show that simulation/reference results can be used to find the optimal reconstruction strategy in space-based ionospheric tomography.

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Note concerning the International Reference Ionosphere

Cited by 12 publications

References 2 publications

Performance of the IRI-2016 at the Brazilian low-latitude ionosphere over the South America Magnetic Anomaly during solar minimum

Performance of the IRI-2016 at the Brazilian low-latitude ionosphere over the South America Magnetic Anomaly during solar minimum

Comparison of electron density models with incoherent scatter radar observations at the equator

Ionospheric Tomography from a Reference GPS/MET Experiment Through the IRI Model

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