Welcome to the UNB Radio and Space Physics Laboratory (RSPL)

Grise Fiord 2015
CHAIN 2019 Team
CHAIN 2019 Team
Grise Fiord 2015
Grise Fiord 2015
Grise Fiord 2015
Grise Fiord 2015
Pond Inlet 2009
Pond Inlet 2009
Grise Fiord 2024
Grise Fiord 2024
Eureka 2024
Eureka 2024
Eureka 2024
Eureka 2024
Resolute 2024
Resolute 2024
Grise Fiord 2024
Grise Fiord 2024
Grise Fiord 2015
Grise Fiord 2015



Research Areas

Instrumentation Ionospheric Model Development Fundamental Research
• Canadian Advanced Digital Ionosonde (CADI) • Empirical Canadian High Arctic Ionospheric Model (E-CHAIM) • Physics of Solar - Terrestrial interaction
• Sanimut-based Ionosonde • Assimilative Canadian High Arctic Ionospheric Model (A-CHAIM) • Vertical coupling in the atmosphere
• Broadband RF receivers • Canadian High Arctic Scintillation Model (CHASM) • Metrology
• GNSS receiver technology   • Data science

Current state of the ionosphere:

NmF2TEChmF2

Projects

• Canadian High Arctic Ionospheric Network (CHAIN) • Canadian High Arctic Ionospheric Models (CHAIM) • Sanimut HF Measurement Platform
• Assimilative Canadian High Arctic Ionospheric Model (A-CHAIM) • Empirical Canadian High Arctic Ionospheric Model (E-CHAIM) • Retrospective Canadian High Arctic Ionospheric Model (R-CHAIM)
• Space Weather Ionospheric Network Canada (SWINCan)

Most Recent Publications


  • Brown, M., Elvidge, S., Allanson, O., Themens, D., (2026), WACCM‐X Simulation of the Atmosphere From 1950 Through 2024 at an Hourly Resolution, JGR Space Physics. American Geophysical Union (AGU). link

  • Al‐Buradah, S., Hamza, A., Meziane, K., (2026), The Electromagnetic Gradient Drift Instability: The Case of the Martian Ionosphere, JGR Space Physics. American Geophysical Union (AGU). link

  • Mackovjak, ., Kostárová, S., Chum, J., Schmidt, C., Hannawald, P., Wüst, S., Küchelbacher, L., Truhlík, V., Knížová, P., Urbář, J., Randuška, L., Štempel, F., Kubančák, J., (2026), Dataset of Quiet Space Weather Periods for Ionospheric Studies, Earth and Space Science. American Geophysical Union (AGU). link

  • Zhan, Y., Xing, Z., Xu, T., Zhang, Q., Wang, Y., Yang, Q., Qiao, F., Ma, Y., Lu, S., Fang, Y., (2026), Prediction of Arctic Ionospheric Scintillation Using Stacked Machine Learning, JGR Space Physics. American Geophysical Union (AGU). link

  • Gurney, E., Themens, D., Brown, M., Elvidge, S., (2026), Validation of Ionospheric Models at Mid‐ and High‐Latitudes: Climatological Performance of WACCM‐X (SD) and TIE‐GCM in foF2, Space Weather. American Geophysical Union (AGU). link

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