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- Title
A Statistical Approach to Retrieve Rainfall Intensity by Attenuation Measurements From Commercial Microwave Links.
- Authors
Zheng, Xin; Messer, Hagit; Qin, Youwei; Song, Ying; Zhang, Wenxuan; Yang, Tao
- Abstract
Commercial microwave link (CML) has become one of the most widely used opportunistic sensors for rainfall monitoring. The high density and coverage of CMLs enable us to monitor near‐ground rainfall in high spatial resolution. The empirical power‐law (PL) model proposed in 1978 is the leading approach in relating CML attenuation with rain rate. However, while giving good rain rate estimates for CMLs longer than 1 km, in short CMLs, large errors are observed when the PL approach is applied. In this paper, we studied a statistical approach to convert CML attenuation measurement to rainfall intensity. The proposed approach calculates the exceedance probability, p, of rain‐induced attenuation and derives the corresponding rainfall intensity based on the rain rate cumulative distribution curve. Data from two cities in two countries were used to validate the approach. The results of the proposed approach were compared with that of the PL model. Results show that the models derived using our approach outperform PL for short CMLs, while showing similar performance for long ones. Since in the next generation mobile networks short CMLs will become more and more dominant, our work provides a way to derive retrieval models for the future generation CML networks. Plain Language Summary: Using commercial microwave link (CML) network for rainfall monitoring can provide us data in high spatial‐temporal resolution. However, the most widely used retrieval model for CML measurements may result in overestimation when applied to short links. To address this issue, this paper investigates an alternative approach to retrieve rainfall intensity from CML measurements, which also demonstrates favorable performance when applied to short links. As short links are expected to become increasingly prevalent in the next generation of mobile networks, their usage can greatly enhance the spatial resolution and accuracy of rainfall monitoring outcomes. Key Points: Investigating a statistical approach to retrieve rainfall intensity from commercial microwave link (CML) dataThe statistical models show better performance for short CMLsParameters of the statistical model can be transferred from other regions
- Subjects
RAINFALL measurement; RAINFALL; NEXT generation networks; MICROWAVES; CHRONIC myeloid leukemia; SPATIAL resolution
- Publication
Earth's Future, 2023, Vol 11, Issue 11, p1
- ISSN
2328-4277
- Publication type
Article
- DOI
10.1029/2023EF003718