陈渝青,郑鑫,宋莹,等. 短距离无线微波链路降雨反演模型研究[J]. 电波科学学报,2024,39(3):1-8. DOI: 10.12265/j.cjors.2023136
      引用本文: 陈渝青,郑鑫,宋莹,等. 短距离无线微波链路降雨反演模型研究[J]. 电波科学学报,2024,39(3):1-8. DOI: 10.12265/j.cjors.2023136
      CHEN Y Q, ZHENG X, SONG Y, et al. Study on a rainfall intensity retrieval model for short links[J]. Chinese journal of radio science,2024,39(3):1-8. (in Chinese). DOI: 10.12265/j.cjors.2023136
      Citation: CHEN Y Q, ZHENG X, SONG Y, et al. Study on a rainfall intensity retrieval model for short links[J]. Chinese journal of radio science,2024,39(3):1-8. (in Chinese). DOI: 10.12265/j.cjors.2023136

      短距离无线微波链路降雨反演模型研究

      Study on a rainfall intensity retrieval model for short links

      • 摘要: 利用商用微波链路进行降雨反演是一种新型的降雨监测手段,且随着通信技术的发展,高密度的商用微波链路网络可提供更高空间分辨率的降雨空间反演结果。目前,幂律模型被广泛用于研究微波衰减与雨率的关系,该模型对长度超过1 km的链路反演精度较高,但在反演短链路(长度<1 km)雨强时出现显著的降雨强度过高估计问题。针对此问题,本文基于ITU-R P.530-16建议书中长期雨衰减公式,建立了雨强反演模型。在瑞典哥德堡地区对该模型进行了验证,并对比分析了本文模型与幂律模型降雨反演结果。结果表明,相比于幂律模型,本文模型在对短链路进行雨强反演时更稳定、精确,确定性系数提升了55.3%,标准化均方根误差下降了76.2%,累计降雨量误差下降了92.4%。本文研究结果为短链路在反演降雨时出现的过高估计问题提供了一个解决思路。

         

        Abstract: Rainfall retrieving via commercial microwave links is a new rainfall monitoring method. With the development of communication technology, high-density commercial microwave link networks can provide higher spatial resolution rainfall retrieval results. At present, the power-law model has been widely used to study the relationship between microwave attenuation and rainfall rate. The model has high inversion accuracy for links over 1 km in length, but there is a significant overestimation when retrieving short links (length<1 km). In response to this issue, this paper studies the long-term rain attenuation calculation formula provided in the ITU-R P.530-16 recommendation, and established the corresponding rainfall retrieval model. The model was validated in Gothenburg, Sweden, and the rainfall retrieval results of the P.530-16 model and the power-law model are compared and analyzed. The results show that compared to the power-law model, the P.530-16 model is more stable and accurate in retrieving rainfall intensity over short links, with a 55.3% increase in coefficient of determination, a 76.2% decrease in normalized root mean squared error, and a 92.4% decrease in relative error of rainfall depth. The results of this paper provide a solution to the problem of overestimation when inverting rainfall over short links.

         

      /

      返回文章
      返回