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Topological data analysis predicts solar wind streams from coronal holes

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a novel method using topological data analysis to predict high-speed solar wind streams originating from coronal holes. By analyzing the topology of extreme ultraviolet solar images, the system can forecast the occurrence of these streams at Earth with a four-day lead time. This approach, which does not explicitly use geometric descriptors of coronal holes, offers a transparent and computationally efficient way to understand the relationship between coronal structure topology and subsequent solar wind activity. AI

IMPACT This research demonstrates a novel application of topological data analysis for space weather prediction, potentially improving forecasting accuracy for geomagnetic events.

RANK_REASON The cluster contains an academic paper detailing a new research methodology. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Topological data analysis predicts solar wind streams from coronal holes

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The cluster contains an academic paper detailing a new research methodology. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Francesco Marchetti, Sabrina Guastavino, Daniel Collin ·

    Explainable Prediction of High-Speed Solar Wind Streams driven by Coronal Holes via Topological Data Analysis

    arXiv:2610.35549v1 Announce Type: cross Abstract: High-speed solar wind streams (HSSs) originating from coronal holes (CHs) are an important driver of recurrent geomagnetic activity. Since HSSs are associated to coronal structures visible in extreme-ultraviolet observations, this…

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