Radar satellite precipitation rapid fusion algorithm based on radar quality index

By optimizing the fusion weights of radar and satellite data using a fusion algorithm based on radar quality index, the problems of rigid weight allocation and single-minded blind spot filling in existing technologies are solved. This enables the construction of a fusion background field with high timeliness and high consistency, thereby improving the forecasting performance of meteorological services.

CN121028087BActive Publication Date: 2026-06-12STATE QIXIANG INFORMATION CENT
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
STATE QIXIANG INFORMATION CENT
Filing Date
2025-08-21
Publication Date
2026-06-12

AI Technical Summary

⚠Technical Problem

In existing fusion technologies, rigid weight allocation strategies, limited blind spot information filling, and poor timeliness of multi-source data result in the reliability and resolution of the fused background field in key areas failing to meet meteorological operational needs.

⚗Method used

A fusion algorithm based on radar quality index is adopted. By designing radar obstruction area index and climate proportion correction factor, the fusion weight of radar and satellite data is optimized to generate a high-time-efficiency fused background field.

🎯Benefits of technology

It significantly improves the reliability and operational applicability of the fused background field, enabling it to more accurately reflect actual precipitation conditions, especially in radar coverage blind spots and sparsely populated areas, thus enhancing key forecasting performance such as short-term heavy precipitation and typhoon tracks.

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Abstract

The application discloses a radar satellite precipitation rapid fusion algorithm based on a radar quality index, and comprises the following steps: a climate proportion correction factor RFC is utilized to design a radar sheltering area index RSA as a segmented function varying with the climate proportion correction factor RFC; a radar terrain sheltering index analysis field is utilized to optimize a radar quality index analysis field weight; and then, the radar quality index fusion weight is utilized to rapidly fuse radar and satellite precipitation data, so as to generate a radar-satellite fusion background field. Through utilization of the radar quality index and the terrain sheltering coefficient, the spatial reliability of the radar data is dynamically quantified, and the fusion weight of the radar and the satellite is optimized according to the spatial reliability, so that the fusion background field can more accurately reflect the actual precipitation condition, and in particular, in a radar coverage blind area and a sparse area of stations, problems such as local distortion, underestimation of precipitation intensity or structural ambiguity are effectively reduced.
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