TY - GEN
T1 - Retrieval of Ne(H) profile for ionosonde by assimilating collocated radio occultation data into NeqUICK2
AU - Shaikh, Muhammad Mubasshir
AU - Fernini, Ilias
N1 - Publisher Copyright:
© 2021 Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Below the altitude of peak density height (hmF2), it is rather easy to obtain the bottomside of the vertical electron density (Ne(h)) profile using measurements from ground based ionosonde and other sounding instruments. However, accurate modeling of the topside of the Ne(h) profile has always been a challenge. Since the introduction of radio occultation (RO) technique for the ionospheric monitoring, our understanding of the topside ionosphere has significantly improved. This study shows that by assimilating ionosonde foF2 and collocated RO Ne(h) profile data, a full-scale Ne(h) profile at any ionosonde location can be accurately modeled using NeQuick2 electron density model with multiple effective ionization level (Az) parameters. To implement the technique, NeQuick2 was modified with multiple effective parameters with each one of them having a task to model a specific part of the Ne(h) profile separately and exclusively. As a result, the shape of the resulting Ne(h) profile is matched closely with the corresponding experimental RO Ne(h) profile. To assess the accuracy of the technique, a comparison of vertical total electron content (VTEC) was calculated from experimental (RO retrieved), and NeQuick2 model assimilated Ne(h) profiles is presented. A very strong correlation has been found between the modeled and experimental Ne(h) profiles based on VTEC values. The experimental and modeled profile TEC values are found to be 99.5% correlated. The proposed assimilation technique is self-sustaining, robust, and is not affected by the solar activity, season, and geographical location of the ionosonde.
AB - Below the altitude of peak density height (hmF2), it is rather easy to obtain the bottomside of the vertical electron density (Ne(h)) profile using measurements from ground based ionosonde and other sounding instruments. However, accurate modeling of the topside of the Ne(h) profile has always been a challenge. Since the introduction of radio occultation (RO) technique for the ionospheric monitoring, our understanding of the topside ionosphere has significantly improved. This study shows that by assimilating ionosonde foF2 and collocated RO Ne(h) profile data, a full-scale Ne(h) profile at any ionosonde location can be accurately modeled using NeQuick2 electron density model with multiple effective ionization level (Az) parameters. To implement the technique, NeQuick2 was modified with multiple effective parameters with each one of them having a task to model a specific part of the Ne(h) profile separately and exclusively. As a result, the shape of the resulting Ne(h) profile is matched closely with the corresponding experimental RO Ne(h) profile. To assess the accuracy of the technique, a comparison of vertical total electron content (VTEC) was calculated from experimental (RO retrieved), and NeQuick2 model assimilated Ne(h) profiles is presented. A very strong correlation has been found between the modeled and experimental Ne(h) profiles based on VTEC values. The experimental and modeled profile TEC values are found to be 99.5% correlated. The proposed assimilation technique is self-sustaining, robust, and is not affected by the solar activity, season, and geographical location of the ionosonde.
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U2 - 10.33012/2021.18028
DO - 10.33012/2021.18028
M3 - Conference contribution
AN - SCOPUS:85120883520
T3 - Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021
SP - 4015
EP - 4020
BT - Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021
PB - Institute of Navigation
T2 - 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021
Y2 - 20 September 2021 through 24 September 2021
ER -