On the potential of commercial microwave link networks for high spatial resolution rainfall monitoring in urban areas

Xin Zheng*, Hagit Messer, Qian Wang, Tao Xu, Youwei Qin, Tao Yang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


The considerable density of commercial microwave links (CMLs) in urban areas provides an unprecedented opportunity to reconstruct rain fields with high spatial resolution. The aim of this study was to investigate the potential advantages of CML measurements for rain field reconstruction. To this end, we compared the performance of equivalent sensor networks consisting of CMLs, rain gauges (RGs), or a mixture of CMLs and RGs (hybrid network) for near-ground rain field reconstruction under various hypothetical scenarios. Using simulated Gaussian-shaped rain fields and X-band radar rainfall maps as the ground truth, we synthesized CML and RG measurements, which were then used to reconstruct the rain fields. The results, in which the reconstructed rain fields were compared with the ground truth, showed that the CML and RG sensor networks perform similarly in terms of rainfall spatial distribution estimation in areas where dense CML networks are likely to exist. CMLs performed better than RGs in terms of areal rainfall estimation. With a given number of sensors, more CMLs in a hybrid network achieved better areal rainfall estimation. We also study the rain reconstruction performance when using an iterative method, which represents a link by several non-equal virtual rain gauges (VRGs), allowing rainfall intensities along a link to differ. We show that on average, in a small urban area where the density of CMLs is high, representing CMLs by a single VRG is sufficient for rainfall field reconstruction and there is no need to convert a link to multiple VRGs.

Original languageEnglish
Article number106289
JournalAtmospheric Research
StatePublished - 15 Oct 2022


FundersFunder number
Hydrological Bureau of Jiangxi Province820053316
Postgraduate Research & Practice Innovation Program of Jiangsu ProvinceKYCX20_0463
National Natural Science Foundation of China51879068, 51809072
Council for Higher Education
Fundamental Research Funds for the Central UniversitiesB200203052


    • Commercial microwave links
    • High spatial resolution rainfall
    • Path-integrated data
    • Rainfall spatial estimation
    • Urban hydrology


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