Abstract:The Yichang ground-based remote sensing vertical observation system can monitor cloud, fog, light precipitation, wind speed, wind direction, temperature, relative humidity, liquid water content vertical profile, aerosol concentration and other detection elements over the region in real time, and enhance the ability to monitor sudden and catastrophic weather. A method for evaluating observation elements is proposed to address the accuracy of detection data in Yichang ground-based remote sensing vertical observation system. The method used observation data from the same sounding station as a reference standard, and analyzed the accuracy of various detection data of the Yichang vertical observation system by comparing spatio-temporal matching vertical detection data. Through the vertical profile products of the system, the weather process of the rain and snow freezing disaster in Yichang in February 2024 was jointly observed, and research on the fusion application of multiple vertical profiles was conducted. The quantitative analysis results indicate that the data quality of the Yichang ground-based remote sensing vertical observation system meets the evaluation index requirements, and the correlation between detection data and sounding data is generally good, which can provide precise observation data for meteorological monitoring.