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<p>Arctic communities are increasingly facing rapid-onset hazards; however, lower-tropospheric observations remain limited, constraining predictability. Previous enhanced observation efforts improved forecast skill but remained costly and impractical for community use. We synthesized these lessons and advocate for low-cost, community-ready atmospheric profiling systems that provide on-demand vertical data and interfaces with emerging AI-based forecasting models. This scalable paradigm can strengthen short-range hazard prediction and climate resilience across polar and other data-sparse regions.</p>

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Toward community-ready weather observations in a rapidly changing Arctic: bridging local needs, extreme events, and climate adaptation

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月9日

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  • Jun Inoue,
  • Hajo Eicken

摘要

Arctic communities are increasingly facing rapid-onset hazards; however, lower-tropospheric observations remain limited, constraining predictability. Previous enhanced observation efforts improved forecast skill but remained costly and impractical for community use. We synthesized these lessons and advocate for low-cost, community-ready atmospheric profiling systems that provide on-demand vertical data and interfaces with emerging AI-based forecasting models. This scalable paradigm can strengthen short-range hazard prediction and climate resilience across polar and other data-sparse regions.