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我国人工影响天气领域的人工智能应用进展

荆国栋 殷占福 赵志强 王飞 孙晓妮 庞林 张勇

沙漠与绿洲气象2026,Vol.20Issue(3):9-19,11.
沙漠与绿洲气象2026,Vol.20Issue(3):9-19,11.DOI:10.12057/j.issn.2097-6801.2506.26267

我国人工影响天气领域的人工智能应用进展

Application Progress in Artificial Intelligence for Weather Modification in China

荆国栋 1殷占福 1赵志强 1王飞 1孙晓妮 2庞林 3张勇2

作者信息

  • 1. 中国气象局人工影响天气中心,北京 100081
  • 2. 北京工业大学,北京 100124
  • 3. 中国气象局气象干部培训学院,北京 100081
  • 折叠

摘要

Abstract

Driven by the urgent need for intelligent technologies in weather modification operations,this paper systematically reviews the current state of AI applications in this field.We first revisit three principal application directions:bias correction of cloud-precipitation forecast products,quantitative evaluation of seeding effectiveness,and automated recognition of cloud-particle and ice-crystal images.The origin,development,and operational status of AI techniques in these three areas are analyzed.Building on this foundation and aligning with emerging operational needs,we extend the discussion to two additional scenarios:intelligent three-dimensional monitoring of cloud-precipitation fields and AI-enabled safety management for weather modification operations.By analyzing current achievements and projecting future directions,this review aims to substantially deepen and broaden the application of AI in weather modification,thereby providing a more efficient and effective technical paradigm to support scientific,precise,and safe operations.

关键词

人工智能/人工影响天气/云降水预报/作业效果/定量评估

Key words

artificial intelligence/weather modification/cloud-precipitation forecast/operation effect by cloud seeding/quantitative evaluation

分类

天文与地球科学

引用本文复制引用

荆国栋,殷占福,赵志强,王飞,孙晓妮,庞林,张勇..我国人工影响天气领域的人工智能应用进展[J].沙漠与绿洲气象,2026,20(3):9-19,11.

基金项目

中国气象局"人工影响天气作业效果检验技术"重点创新团队(CMA2022ZD10) (CMA2022ZD10)

中国气象局人工影响天气中心"人工影响天气效果评估方法研发与应用团队"(WMC2023IT03) (WMC2023IT03)

中国气象局人工影响天气中心"人工智能人工影响天气应用技术团队"(WMC2024IT02) (WMC2024IT02)

中国气象局创新发展专项(CXFZ2025J042) (CXFZ2025J042)

沙漠与绿洲气象

2097-6801

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