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IGRF-14 カーネルの表面流の加速から世俗的な変動の予測

Frederik Dahl Madsen^1,2, Ciarán D Beggan², William J Brown²

¹School of GeoSciences, University of Edinburgh, Edinburgh, UK.

Earth, planets, and space : EPS

|February 13, 2026

まとめ

地磁気長期変動 (SV) は,コア表面流の加速に基づいた新しいモデルを使用して2025-2030年に予測されています. この方法は,潜在的な地磁気振動を予測し,以前の国際地磁気基準場 (IGRF) の予測を改善します.

科学分野:

地質物理学地質物理学とは地質物理学です.
地球科学地球科学地球科学
宇宙物理学宇宙物理学

背景:

国際地磁気基準場 (IGRF) は,地磁気世俗的変動 (SV) の推定を含む定期的な更新を必要とします.
以前のモデルは,更新の間の中間年における SV を予測する上で制限があります.
最近の観測は,コア表面フロー加速の周期的な行動を示唆し,新しい予測可能性を提示しています.

研究の目的:

第14世代IGRFの2025~2030年期間の地磁気世俗変動 (SV) の候補モデルを開発し提出する.
コア表面フロー加速の周期的振る舞いを分析することによって,SVを予測する.
以前のIGRFのイテレーションに対して,新しい方法論の予測能力を検証する.

主な方法:

CHAMPとSwarmの衛星データ (2001-2024) からアドベクティブコア表面フローモデルを取得しました.
流速加速度係数を計算し,将来のエキストラポレーションのために,シヌソイド関数で配備しました.
コアフロー係数を取得し,アドベクトされたSVを予測するための統合加速タイムシリーズ.

主要な成果:

CHAMPデータを使って検証されたこの方法論は,以前のIGRFのイテレーションを上回った.
Swarmベースのモデルは,IGRF-14のSVを予測し,2024年 (赤道太平洋) と2028年 (アフリカ中部) の地磁気振動を予測しています.
このモデルは,SV予測に周期的な行動を組み込むことで,潜在的な改善を実証しています.

結論:

定期的なコア表面流の加速を組み込んだ提案された方法は,地磁気長期変動の予測に有望なアプローチを提供します.
地磁気振動を予測するモデルの能力は,より正確なIGRF更新のためのその可能性を強調しています.
このアプローチは,将来のIGRF世代のためのSVの予測を向上させる可能性があります.

キーワード:

コア表面フローモデリングジオマグネットのバカたち.地磁気学とは地磁気学です.IGRF-14 について衛星磁気は,衛星磁気である.

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