リアルタイムかつ高解像度な電離圏の3次元可視化~将来の宇宙天気予報・短期地震予知の実現に寄与する可能性~

2025-10-20 京都大学

京都大学大学院情報学研究科の梅野健教授と米山慧氏(現・フレクト社)は、リアルタイムかつ高解像度で電離圏の3次元構造を可視化する新アルゴリズムを開発した。経度・緯度方向0.25度という従来比4倍の分解能で「電離圏トモグラフィ」を実現し、中規模移動性電離圏擾乱(MSTID)などの詳細な3D構造を明らかにした。この技術により、現在の天気予報のように数時間先の電離圏状態を予測する「宇宙天気予報」が可能となる見通しが示された。また、地震発生前に観測される電離圏異常の解析にも応用が期待され、短期地震予知研究への貢献が期待される。研究成果は『Journal of Geophysical Research: Space Physics』に掲載された。

リアルタイムかつ高解像度な電離圏の3次元可視化~将来の宇宙天気予報・短期地震予知の実現に寄与する可能性~
日本列島上空の高精細な電離圏3次元構造の可視化

<関連情報>

GNSS-TECを用いた高密度観測地域における高速コンピュータ電離層トモグラフィー Fast Computerized Ionospheric Tomography Using GNSS-TEC in Densely Observed Regions

Satoru Yoneyama, Ken Umeno
Journal of Geophysical Research: Space Physics  Published: 14 October 2025
DOI:https://doi.org/10.1029/2024JA033404

Abstract

In recent years, the range of technologies affected by the ionosphere has been steadily expanding. Technologies such as Global Positioning System, which have become indispensable in modern society, can suffer from degraded accuracy due to ionospheric structures. To meet these needs, it is essential to estimate ionospheric structures with both low latency and high resolution. However, research addressing this issue has been limited. In this study, we propose an algorithm for effective ionospheric tomography over large regions where high-density observation data are available. The algorithm exploits the fact that ionospheric electron density remains relatively stable over the 30-s sampling interval of Total Electron Content (TEC) measurements, using the most recent known distribution as an initial guess for the unknown distribution and a conjugate gradient method with diagonal scaling preprocessing to significantly accelerate the convergence of the solution. When applied to actual data, the proposed algorithm successfully estimated electron density distributions over the entire region of Japan with a spatial resolution of 0.25° mesh, using TEC data sampled at 1-min intervals. This result demonstrates the effectiveness of the proposed method. Additionally, the algorithm was used to evaluate seasonal variations in the structure of Medium-Scale Traveling Ionospheric Disturbances. The findings indicate that high-resolution and high-accuracy tomography enables detailed analysis of ionospheric structures.

Key Points

  • A method was developed to perform high-resolution ionospheric tomography at high frequency
  • The algorithm uses a known ionospheric structure at the nearest time and a very simple preprocessing step to speed up the process
  • Using this method, we succeeded in estimating the detailed structure of Medium-Scale Traveling Ionospheric Disturbances over Japan
1702地球物理及び地球化学
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