Radar Precipitation Sensor Rain Gauge Distrometer: Solving Remote Area Precipitation Monitoring Difficulties and Enhancing Large-Scale Observation

In precipitation measurement, while rain gauges and tipping-bucket rain sensors enable convenient and accurate fixed-point observation, their coverage density is generally low in remote areas with sparse human population due to constraints on deployment conditions. This makes it difficult to effectively monitor local precipitation, posing significant challenges to precipitation measurement efforts in these regions. However, the emergence of the Radar Precipitation Sensor Rain Gauge Distrometer has precisely addressed this issue, becoming a core device for large-scale precipitation observation.

The working principle of the Radar Precipitation Sensor Rain Gauge Distrometer is as follows: it continuously emits electromagnetic waves into the surrounding space. When these electromagnetic waves encounter water vapor condensates such as cloud droplets and raindrops in the air during propagation, scattering occurs. A portion of the electromagnetic waves changes direction and returns along the original transmission path, where they are captured by the receiving device of the Radar Precipitation Sensor Rain Gauge Distrometer. After receiving the returned electromagnetic waves, the device analyzes and processes the information they carry. Based on differences in radar echo intensity, it accurately infers the precipitation intensity in different areas within the detection range, including key data such as the distribution of precipitation intensity and its variation trends.

In practical meteorological observation work, with the development of social economy, local governments have attached increasing importance to meteorological monitoring, leading to a continuous increase in the number of ground-based precipitation radar deployments. To further improve observation efficiency, meteorological observers integrate multiple radars distributed in different regions and installed on the ground into a unified and coordinated radar observation network. Relying on this network, the limitations of single-point observation can be broken, enabling comprehensive and real-time monitoring of precipitation over a larger geographical area. This not only allows for more accurate understanding of the spatial distribution characteristics of precipitation but also provides richer and more reliable data support for meteorological forecasting, disaster early warning, and water resource management, effectively enhancing the ability to respond to precipitation-related meteorological events.