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Updated: Jan 13, 2026

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一种两步机器学习方法,集成GNSS衍生的PWV,以改善降雨预测

Laura Profetto1, Andrea Antonini2, Luca Fibbi2,3

  • 1Dipartimento Ingegneria dell'Informazione e Scienze Matematiche (DIISM), Universitá di Siena, 53100 Siena, Italy.

Entropy (Basel, Switzerland)
|October 28, 2025
PubMed
概括

全球导航卫星系统 (GNSS) 的气象学增强了降水量,现在使用降水蒸气 (PWV) 进行预测. 一种新的机器学习方法改善了短期天气预报,特别是在极端事件期间.

关键词:
在GNSS气象系统中,气象学.沉式水蒸气 (PWV) 是一种机器学习是机器学习.降水 现在 播放 降水短期的天气预报.

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