Network Theory to Reveal Ionospheric Anomalies over North America and Australia

There are significant challenges to model the ionosphere due to different anomalies, especially under the increasing requirements for precision level. We used network theory to construct an ionospheric network analysis based on the data of global ionospheric maps for the period from 1998 to 2015. The network approach revealed different domains in the ionosphere. Besides the well-known equatorial anomaly, we revealed two more essential areas with “anomalous” behavior in the total electron content (TEC). Both anomalies are located at mid-latitudes: the first over most of North America, and the second one over the southeast part of Australia and the adjacent part of the Indian Ocean. The revealed areas partly coincide with the winter anomaly regions. Our results demonstrate that complex ionosphere/magnetic field/neutral atmosphere interaction can result in atypical ionosphere dynamics in huge areas.

[1]  Zishen Li,et al.  BeiDou Global Ionospheric delay correction Model (BDGIM): performance analysis during different levels of solar conditions , 2021, GPS Solutions.

[2]  Yury V. Yasyukevich,et al.  Winter anomaly in NmF2 and TEC: when and where it can occur , 2018 .

[3]  Hao Zhang,et al.  Complex network description of the ionosphere , 2018 .

[4]  Chuang Shi,et al.  Consistency of seven different GNSS global ionospheric mapping techniques during one solar cycle , 2018, Journal of Geodesy.

[5]  V. Klimenko,et al.  Mid-latitude Summer Evening Anomaly (MSEA) in F2 layer electron density and Total Electron Content at solar minimum , 2015 .

[6]  M. Klimenko,et al.  Investigating range error compensation in UHF radar through IRI-2007 real-time updating: Preliminary results , 2015 .

[7]  Jürgen Kurths,et al.  Topology and seasonal evolution of the network of extreme precipitation over the Indian subcontinent and Sri Lanka , 2014 .

[8]  K. Tapping The 10.7 cm solar radio flux (F10.7) , 2013 .

[9]  Ciro Gioia,et al.  GNSS Reliability Testing in Signal-Degraded Scenario , 2013 .

[10]  Lee-Anne McKinnell,et al.  The international reference ionosphere today and in the future , 2011 .

[11]  A. Garcia-Rigo,et al.  The IGS VTEC maps: a reliable source of ionospheric information since 1998 , 2009 .

[12]  Bernhard Hofmann-Wellenhof,et al.  GNSS - Global Navigation Satellite Systems , 2008 .

[13]  Andrew B. Christensen,et al.  Features of annual and semiannual variations derived from the global ionospheric maps of total electron content , 2007 .

[14]  David M. Le Vine,et al.  Use of IRI to model the effect of ionosphere emission on earth remote sensing at L-band , 2004 .

[15]  Markus Rothacher,et al.  Mapping and predicting the ionosphere , 1998 .

[16]  Leos Mervart,et al.  Global and regional ionosphere models using the GPS double difference phase observable , 1996 .

[17]  A. Giraud,et al.  Ionospheric techniques and phenomena , 1978 .

[18]  Marsha R. Torr,et al.  The seasonal behaviour of the F2-layer of the ionosphere , 1973 .