基于地基微波辐射计的数据一致性检验与降水前兆信号分析

Data Consistency Verification and Precipitation Precursor Signal Analysis Based on Ground-Based Microwave Radiometer

摘要: 基于地基微波辐射计的数据一致性检验与降水前兆信号分析对于提高天气预报的准确性和理解气象过程具有重要意义。本文通过对2023年庐山市地区微波辐射计与无线电探空仪的同步观测数据进行对比，验证了微波辐射计在反演大气温湿廓线、整层水汽含量(PWV)等关键参数上的精度与可靠性。进一步，本文通过分析PWV和云液态水路径(LWP)的变化规律，揭示了这些物理量与降水事件之间的密切联系，并探讨了微波辐射计在降水前兆信号分析中的应用。研究表明，微波辐射计能有效反映水汽变化及云液态水演变，为短期降水预报提供了重要的物理依据和量化指标。

Abstract: Data consistency testing and precipitation precursor signal analysis based on ground-based microwave radiometers are of great significance for improving the accuracy of weather forecasting and understanding meteorological processes. This article compares the synchronous observation data of microwave radiometer and radiosonde in Lushan City in 2023, and verifies the accuracy and reliability of microwave radiometer in inverting key parameters such as atmospheric temperature and humidity profile and whole layer water vapor content (PWV). Furthermore, this article analyzes the variation patterns of PWV and Cloud Liquid Water Path (LWP), revealing the close relationship between these physical quantities and precipitation events, and exploring the application of microwave radiometers in the analysis of precipitation precursor signals. Research has shown that microwave radiometers can effectively reflect changes in water vapor and the evolution of cloud liquid water, providing important physical basis and quantitative indicators for short-term precipitation forecasting.