基于信号模态分解在降水估计中的研究与应用  

Research and Application of Signal Modal Decomposition in Precipitation Estimation

作　　者：郭姗姗 贾国庆[1] GUO Shan-shan;JIA Guo-qing(School of Physics and Electronic Information Engineering,Qinghai Minzu University,Xining 810007,China)

机构地区：[1]青海民族大学物理与电子信息工程学院,西宁810007

出　　处：《价值工程》2024年第10期142-145,共4页Value Engineering

基　　金：青海省重点研发与转化计划“赛马制”项目(2023-SF-148S-l);青海民族大学研究生创新项目(10M2023002)。

摘　　要：极端强降雨是造成的社会经济损失自然灾害之一,运用雷达回波功率进行降水估计是气象降水监测中的重要应用趋势,如何准确地获取地表降雨信息是广大学者的研究目标。本文针对回波信号包含的大量噪声问题,综合多种信号模态分解算法,对信号进行降噪处理,并建立信号功率与雨强估计的模型。以江西市某地的降水情况为例,综合结果表明,经过模态分解的信号功率经过模型输出的雨强更加贴近理论值,基本上实现了对雨情的准确判断。Extreme heavy rainfall is one of the natural disasters that cause social and economic losses.The use of radar echo power for precipitation estimation is an important application trend in meteorological precipitation monitoring.How to accurately obtain surface rainfall information is the research goal of many scholars.This article focuses on the problem of a large amount of noise contained in the echo signal,integrates multiple signal modal decomposition algorithms,performs noise reduction on the signal,and establishes a model for estimating signal power and rain intensity.Taking the precipitation situation in a certain area of Jiangxi City as an example,the comprehensive results show that the signal power after modal decomposition is closer to the theoretical value of the rain intensity output by the model,which basically achieves accurate judgment of rain conditions.

关 键 词：回波功率 降水估计 噪声问题 模态分解 

分 类 号：P412.25[天文地球—大气科学及气象学]