一种基于微雨雷达数据的雨量分析方法及系统
By combining neural network feature extraction and variational inference framework with path integral decay effect, a unified precipitation state inversion model is constructed, which solves the accuracy and stability problems in micro-rain radar data analysis, realizes adaptive analysis of complex precipitation phases, and identifies rainstorm trends at an early stage.
CN121454535BActive Publication Date: 2026-07-17HANGZHOU QIANHAI TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU QIANHAI TECH CO LTD
- Filing Date
- 2025-12-08
- Publication Date
- 2026-07-17
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Figure CN121454535B_ABST
Abstract
本发明公开了一种基于微雨雷达数据的雨量分析方法及系统，属于气象雷达信号处理领域，所述方法包括：使用微雨雷达对目标空域进行垂直探测，获取雷达回波信号；对原始多普勒功率谱密度矩阵进行噪声滤除，得到清洗后的观测多普勒功率谱；利用预训练的神经网络模型对所述观测多普勒功率谱进行特征提取，输出关于降水类型的先验概率分布；构建并求解降水状态统一反演模型，得到全局最优的统一降水状态向量；基于统一降水状态向量，计算各高度层的降水粒子数密度分布，进行积分，获得各高度层的瞬时降雨率。本发明解决了传统方法中衰减校正误差累积的问题，并实现了对降水动态风险的精准预警。
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