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一种基于图像指纹历史相似天气快速检索技术及其应用

唐健 代刊

气象2026,Vol.52Issue(7):857-868,12.
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气象2026,Vol.52Issue(7):857-868,12.DOI:10.7519/j.issn.1000-0526.2026.051302

一种基于图像指纹历史相似天气快速检索技术及其应用

Image Fingerprint-Based Historical Analog Weather Retrieval Technique and Its Application

唐健 1代刊1

作者信息

  • 1. 国家气象中心,北京 100081
  • 折叠

摘要

Abstract

Addressing the persistent demand for historical analogue references in operational weather fore-casting and the deficiencies of traditional retrieval methods in efficiency and objectivity,this paper proposes a rapid retrieval technology for historical analog weather events based on image fingerprint synergy.This technology employs fingerprint similarity detection algorithms from imageology and establishes a similarity quantification method and single-variable synergistic query algorithm.Guided by synoptic principles and considering the coupling characteristics between upper-air circulation and surface variables,we design a multi-variable synergistic query algorithm to more accurately identify historical precipitation fields and the corresponding circulation patterns similar to a target weather process.Based on these techniques,a histor-ical analog weather retrieval platform is developed and has been operationally trialed in the National Meteorological Centre,demonstrating good application potential and practical value in forecasting several weather events.Statistical verification indicates that the similar cases retrieved by this method significantly outperform climatology in terms of anomaly correlation coefficient and root mean square error.Finally,this paper discusses future development directions for technology,particularly in algorithm optimization,objective evaluation,and deepening application.

关键词

历史相似天气/相似检索算法/多要素检索/天气预报/图像指纹

Key words

historical analog weather/similarity retrieval algorithm/multi-variable retrieval/weather fore-cast/image fingerprint

分类

天文与地球科学

引用本文复制引用

唐健,代刊..一种基于图像指纹历史相似天气快速检索技术及其应用[J].气象,2026,52(7):857-868,12.

基金项目

中国气象局重点创新团队智能预报技术团队项目(CMA2022ZD04)和新疆维吾尔自治区重点研发专项(2022B03027-2)共同资助 (CMA2022ZD04)

气象

1000-0526

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