강수유무센서 관측특성 비교를 통한 기상관측 활용성 평가

Abstract

Understanding the observational characteristics of precipitation detectors and selecting appropriate sensors for specific purposes are essential for securing meteorological data and ensuring reliable observations. This study compares the detection characteristics and response times of four types of precipitation detectors through field experiments. The objective is to provide foundational data for establishing sensor selection criteria suitable for meteorological observation. The tested sensors employ capacitive, impedance, radar, and optical detection methods. The impedance and domestic capacitive sensors showed stable detection performance, albeit with occasional missed rainfall events. The foreign capacitive sensor responded later and ceased detection earlier than other sensors, yet demonstrated high accuracy. The optical sensor rapidly detected rainfall onset but continued to report rainfall even after cessation and failed to detect snowfall. The radar-based sensor was effective for snow detection due to its detection principle but occasionally produced false positives under non-precipitating conditions due to atmospheric particles. Based on statistical and characteristic analyses, it is concluded that impedance, capacitive, and radar sensors are generally suitable for meteorological applications, with radar sensors being optimal for snow detection.