Abstract:Addressing the persistent demand for historical analogue references in operational weather forecasting 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 historical 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.