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Updated: Feb 22, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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ENSOのダイナミクスを,ネットワークと複雑性の分析で予測する

Josef Ludescher1, Jun Meng2, Jingfang Fan3

  • 1Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, 14412 Potsdam, Germany.

Chaos (Woodbury, N.Y.)
|February 20, 2026
PubMed
まとめ

気候ネットワークと複雑性ベースのアプローチを使用して,エルニーニョの南部振動 (ENSO) イベントを1年前に予測することが可能になりました. オセアニック・ニニョ・インデックスを含むこれらの方法は,エルニニョ,ラニニャ,中立的なイベントの確率的予測を可能にします.

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