Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-20T17:25:07.012Z Has data issue: false hasContentIssue false
  • English
  • Français

NeQuick2 and IRI2012 models applied to mid and high latitudes, and the Antarctic ionosphere

Published online by Cambridge University Press:  12 January 2017

M. Pietrella ,
B. Nava ,
M. Pezzopane ,
Y. Migoya Orue ,
A. Ippolito  and
C. Scotto
M. Pietrella*
Affiliation:
Istituto Nazionale di Geofisica e Vulcanologia, via di Vigna Murata 605, 00143 Rome, Italy
B. Nava
Affiliation:
The Abdus Salam International Centre for Theoretical Physics Strada Costiera 11, I-34051 Trieste, Italy
M. Pezzopane
Affiliation:
Istituto Nazionale di Geofisica e Vulcanologia, via di Vigna Murata 605, 00143 Rome, Italy
Y. Migoya Orue
Affiliation:
The Abdus Salam International Centre for Theoretical Physics Strada Costiera 11, I-34051 Trieste, Italy
A. Ippolito
Affiliation:
Istituto Nazionale di Geofisica e Vulcanologia, via di Vigna Murata 605, 00143 Rome, Italy
C. Scotto
Affiliation:
Istituto Nazionale di Geofisica e Vulcanologia, via di Vigna Murata 605, 00143 Rome, Italy
*
[email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Within the framework of the AUSPICIO (AUtomatic Scaling of Polar Ionograms and Co-operative Ionospheric Observations) project, a limited sample of ionograms recorded mostly in 2001 and 2009, and to a lesser extent in 2006–07 and 2012–15, at the ionospheric observatories of Hobart and Macquarie Island (mid-latitude), Comandante Ferraz and Livingstone Island (high latitude), and Casey, Mawson, Davis and Scott Base (inside the Antarctic Polar Circle (APC)) were considered to study the capability of the NeQuick2 and IRI2012 models for predicting the behaviour of the ionosphere at mid- and high latitudes and over the Antarctic area. The applicability of NeQuick2 and IRI2012 was evaluated as i) climatological models taking as input the F10.7 solar activity index and ii) assimilative models ingesting the foF2 and hmF2 measurements obtained from the electron density profiles provided by the Adaptive Ionospheric Profiler (AIP). The statistical analysis results reveal that the best description of the ionosphere’s electron density is achieved when the AIP measurements are ingested into the NeQuick2 and IRI2012 models. Moreover, NeQuick2 performance is far better than IRI2012 performance outside the APC. Conversely, the IRI2012 model performs better than the NeQuick2 model inside the APC.

Keywords

adaptive ionospheric profilerautoscaladata ingestionroot mean square error
Type
Physical Sciences
Information
Antarctic Science , Volume 29 , Issue 3 , June 2017 , pp. 265 - 276
Check for updates
Copyright
© Antarctic Science Ltd 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Araujo-Pradere, E.A., Fuller-Rowell, T.J. & Codrescu, M.V. 2002. STORM: an empirical storm-time ionospheric correction model. 1. Model description. Radio Science, 37, 10.1029/2001RS002467.Google Scholar
Bianchi, C., Baskaradas, J.A., Pezzopane, M., Pietrella, M., Sciacca, U. & Zuccheretti, E. 2013. Fading in the HF channel and role of irregularities. Advances in Space Research, 52, 10.1016/j.asr.2013.03.035.Google Scholar
Bilitza, D. 2015. The international reference ionosphere – status 2013. Advances in Space Research, 55, 10.1016/j.asr.2014.07.032.Google Scholar
Bilitza, D. & Reinisch, B.W. 2008. International reference ionosphere 2007: improvements and new parameters. Advances in Space Research, 42, 10.1016/j.asr.2007.07.048.Google Scholar
Bowman, G.G. 1960. Triple splitting with the F2-region of the ionosphere at high and mid-latitudes. Planetary and Space Science, 2, 10.1016/0032-0633(60)90018-0.Google Scholar
Buresova, D., Nava, B., Galkin, I., Angling, M., Stankov, S.M. & Coisson, P. 2009. Data ingestion and assimilation in ionospheric models. Annals of Geophysics, 52, 235–253.Google Scholar
Galkin, I.A., Reinisch, B.W., Huang, X. & Bilitza, D. 2012. Assimilation of GIRO data into a real-time IRI. Radio Science, 47, 10.1029/2011RS004952.Google Scholar
Haines, D.M. & Reinisch, B.W. 1995. Digisonde portable sounder system manual. Lowell, MA: University of Massachusetts Lowell Center for Atmospheric Research.Google Scholar
Hanbaba, R. 1999. Improved quality of services in ionospheric telecommunication systems planning and operation, Action 251, final report. Warsaw: Space Research Center.Google Scholar
Hunsucker, R.D. & Hargreaves, J.K. 2003. The high-latitude ionosphere and its effects on radio propagation. New York: Cambridge University Press, 617 pp.Google Scholar
McDougall, J.W. 1997. Canadian advanced digital ionosonde user’s manual. London, ON: University of Western Ontario, Scientific Instrumentation.Google Scholar
Moskaleva, E.V. & Zaalov, N.Y. 2013. Signature of polar cap inhomogeneities in vertical sounding data. Radio Science, 48, 10.1002/rds.20060.CrossRefGoogle Scholar
Migoya-Orue, Y., Nava, B., Radicella, S. & Alazo-Cuartas, K. 2015. GNSS derived TEC data ingestion into IRI 2012. Advances in Space Research, 55, 10.1016/j.asr.2014.12.033.Google Scholar
Nava, B., Coisson, P. & Radicella, S.M. 2008. A new version of the NeQuick ionosphere electron density model. Journal of Atmospheric and Solar - Terrestrial Physics, 70, 10.1016/j.jastp.2008.01.015.Google Scholar
Nava, B., Radicella, S.M. & Azpilicueta, F. 2011. Data ingestion into NeQuick 2. Radio Science, 46, 10.1029/2010RS004635.Google Scholar
Pezzopane, M. & Scotto, C. 2007. Automatic scaling of critical frequency foF2 and MUF(3000)F2: a comparison between autoscala and ARTIST 4.5 on Rome data. Radio Science, 42, 10.1029/2006RS003581.Google Scholar
Pezzopane, M., Pietrella, M., Pignatelli, A., Zolesi, B. & Cander, L.R. 2011. Assimilation of autoscaled data and regional and local ionospheric models as input sources for real-time 3-D International Reference Ionosphere modeling. Radio Science, 46, 10.1029/2011RS004697.Google Scholar
Pezzopane, M., Pietrella, M., Pignatelli, A., Zolesi, B. & Cander, L.R. 2013. Testing the three-dimensional IRI-SIRMUP-P mapping of the ionosphere for disturbed periods. Advances in Space Research, 52, 10.1016/j.asr.2012.11.028.Google Scholar
Pietrella, M. 2012. A short-term ionospheric forecasting empirical regional model (IFERM) to predict the critical frequency of the F2 layer during moderate, disturbed, and very disturbed geomagnetic conditions over the European area. Annales Geophysicae, 30, 10.5194/angeo-30-343-2012.Google Scholar
Pietrella, M. 2014. Short-term forecasting regional model to predict M(3000)F2 over the European sector: comparisons with the IRI model during moderate, disturbed, and very disturbed geomagnetic conditions. Advances in Space Research, 54, 10.1016/j.asr.2014.03.018.Google Scholar
Pietrella, M. & Perrone, L. 2005. Instantaneous space-weighted ionospheric regional model for instantaneous mapping of the critical frequency of the F2 layer in the European region. Radio Science, 40, 10.1029/2003RS003008.Google Scholar
Pietrella, M. & Perrone, L. 2008. A local ionospheric model for forecasting the critical frequency of the F2 layer during disturbed geomagnetic and ionospheric conditions. Annales Geophysicae, 26, 10.5194/angeo-26-323-2008.Google Scholar
Pietrella, M., Pezzopane, M. & Settimi, A. 2016. Ionospheric response under the influence of the solar eclipse occurred on 20 March 2015: importance of autoscaled data and their assimilation for obtaining a reliable modeling of the ionosphere. Journal of Atmospheric and Solar - Terrestrial Physics, 146, 10.1016/j.jastp.2016.05.006.CrossRefGoogle Scholar
Reinisch, B.W. & Huang, X. 1983. Automatic calculation of electron density profiles from digital ionograms: 3. Processing of bottom side ionograms. Radio Science, 18, 10.1029/RS018i003p00477.CrossRefGoogle Scholar
Reinisch, B.W., Huang, X., Galkin, I.A., Paznukhov, V. & Kozlov, A. 2005. Recent advances in real-time analysis of ionograms and ionospheric drift measurements with digisondes. Journal of Atmospheric and Solar - Terrestrial Physics, 67, 10.1016/j.jastp.2005.01.009.Google Scholar
Sabbagh, D., Scotto, C. & Sgrigna, V. 2016. A regional adaptive and assimilative three-dimensional ionospheric model. Advances in Space Research, 57, 10.1016/j.asr.2015.12.038.Google Scholar
Scotto, C. 2009. Electron density profile calculation technique for Autoscala ionogram analysis. Advances in Space Research, 44, 10.1016/j.asr.2009.04.037.Google Scholar
Scotto, C. 2015. Triple splitting and z-rays in polar ionograms. Antarctic Science, 27, 10.1017/S095410201400090X.CrossRefGoogle Scholar
Scotto, C. & Pezzopane, M. 2002. A software for automatic scaling of foF2 and MUF(3000)F2 from ionograms. Proceedings of the 27th General Assembly of the International Union of Radio Science. Ghent: International Union of Radio Science.Google Scholar
Scotto, C. & Pezzopane, M. 2012. Automatic scaling of polar ionograms. Antarctic Science, 24, 10.1017/S0954102011000587.Google Scholar
Shimazaki, T. 1962. A statistical study of occurrence probability of spread f at high latitudes. Journal of Geophysical Research, 67, 10.1029/JZ067i012p04617.Google Scholar
Siddle, D.R., Stocker, A.J. & Warrington, E.M. 2004a. The time-of-flight and direction of arrival of HF radio signals received over a path along the mid-latitude trough: observations. Radio Science, 39, 10.1029/2004RS003049.Google Scholar
Siddle, D.R., Zaalov, N.Y., Stocker, A.J. & Warrington, E.M. 2004b. The time-of-flight and direction of arrival of HF radio signals received over a path along the mid-latitude trough: theoretical considerations. Radio Science, 39, 10.1029/2004RS003052.Google Scholar
Stanislawska, I. & Zbyszynski, Z. 2002. Forecasting of ionospheric characteristics during quiet and disturbed conditions. Annals of Geophysics, 45, 169–175.Google Scholar
Testud, J. 1970. Gravity waves generated during magnetic substorms. Journal of Atmospheric and Terrestrial Physics, 32, 10.1016/0021-9169(70)90137-6.Google Scholar
Titheridge, J.E. 1993. Computer-controlled operation of the IPS-42 ionosonde. Proceedings of Session G6 at the 24th General Assembly of the International Union of Radio Science. Available at: http://www.sws.bom.gov.au/IPSHosted/INAG/uag-104/text/tither.html.Google Scholar
Warrington, E.M., Rogers, N.C. & Jones, T.B. 1997. Large HF bearing errors for propagation paths contained within the polar cap. IEE Proceedings - Microwaves Antennas and Propagation, 144, 10.1049/ip-map:19971187.Google Scholar
Zolesi, B., Belehaki, A., Tsagouri, I. & Cander, L.R. 2004. Real-time updating of the Simplified Ionospheric Regional Model for operational applications. Radio Science, 39, 10.1029/2003RS002936.Google Scholar
Zuccheretti, E., Tutone, G., Sciacca, U., Bianchi, C. & Arokiasamy, B.J. 2003. The new AIS-INGV digital ionosonde. Annals of Geophysics, 46, 647–659.Google Scholar