Japan Geoscience Union Meeting 2024

Presentation information

[E] Oral

P (Space and Planetary Sciences ) » P-EM Solar-Terrestrial Sciences, Space Electromagnetism & Space Environment

[P-EM11] Space Weather and Space Climate

Tue. May 28, 2024 10:45 AM - 12:15 PM Exhibition Hall Special Setting (2) (Exhibition Hall 6, Makuhari Messe)

convener:Ryuho Kataoka(National Institute of Polar Research), Mary Aronne(NASA Goddard Space Flight Center), Yumi Bamba(National Institute of Information and Communications Technology), Antti Pulkkinen(NASA Goddard Space Flight Center), Chairperson:Yumi Bamba(National Institute of Information and Communications Technology), Mary Aronne

10:45 AM - 11:00 AM

[PEM11-10] A Discussion of the Threshold for Issuing Space Weather Advisories at ICAO

*Mamoru Ishii1, Michi Nishioka1, Takuya Tsugawa1 (1.National Institute of Information and Communications Technology)

Keywords:space weather, aviation, GNSS, ICAO

The International Civil Aviation Organization (ICAO) is establishing Space Weather Global Centers in 2019 to distribute advisories on space weather. Currently, advisories are issued when thresholds are exceeded for information on shortwave communications, satellite positioning, and human exposure.
Discussions on the thresholds are ongoing in the Meteorology Operation Group under the ICAO Meteorology Panel. Currently, fixed values of Moderate 125 and Severe 175 are used for the Total Electron Count (TEC), which is used as an indicator for satellite positioning. On the other hand, TEC varies significantly depending on local time, season, and region, and it is questionable whether fixed threshold values are sufficient.
Currently, NeQuick, Krobucher, and other ionospheric models are used for satellite positioning, and when there is a large discrepancy between these models and the actual ionospheric conditions, the satellite positioning error increases. Therefore, it is better to use the difference between this model and the actual TEC as a new indicator.
Currently, I-scale has been proposed by Nishioka et al. (2017). This is a statistical method to process the TEC at a specific location and use the deviation from the median value as an indicator of ionospheric storms. We applied this indicator and examined the difference from the NeQuick and Krobucher model. In my presentation, I would like to discuss how the domain dependence should be handled and how its impact on the system should be evaluated.

Nishioka, M., T. Tsugawa, H. Jin, and M. Ishii (2017), A new ionospheric storm scale based on TEC andfoF2statistics, Space Weather,15, 228–239, doi:10.1002/2016SW001536.