Articles | Volume 18, issue 20
https://doi.org/10.5194/amt-18-5507-2025
https://doi.org/10.5194/amt-18-5507-2025
Research article
 | 
21 Oct 2025
Research article |  | 21 Oct 2025

Design and application of two consistency verification methods for weather radar networks in the South China region

Heng Hu, Shunqiang Pei, Lei Wu, Nan Shao, Chunyan Zhang, Hao Wen, and Yunlei Liu

Cited articles

Bech, J., Codina, B., Lorente, J., and Bebbington, D.: The sensitivity of single polarization weather radar beam blockage correction to variability in the vertical refractivity gradient, J. Atmos. Oceanic Technol., 20, 845–855, https://doi.org/10.1175/1520-0426(2003)020<0845:TSOSPW>2.0.CO;2, 2003. 
Biggerstaff, M. and Listemaa, A.: An improved scheme for convective/stratiform echo classification using radar reflectivity, J. Appl. Meteor., 39, 2129–2150, https://doi.org/10.1175/1520-0450(2001)040<2129:AISFCS>2.0.CO;2, 2000. 
Bolen, S. and Chandrasekar, V.: Quantitative cross-validation of space-based and ground-based radar observations, Journal of Applied Meteorology, 39, 2071–2079, https://doi.org/10.1175/1520-0450(2001)040<2071:QCVOSB>2.0.CO;2, 2000. 
Bringi, V. and Chandrasekar, V.: Polarimetric Doppler Weather Radar: Principles and Applications, Cambridge University Press, Cambridge, UK, 636 pp., https://doi.org/10.1017/CBO9780511541094, 2001. 
China Meteorological Administration (CMA): The FY-3G satellite: Advancing precipitation measurement with Ku and Ka band radars, Journal of Satellite Meteorology and Remote Sensing, 12, 123–135, 2023. 
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Short summary
In this work, we design two weather radar network consistency validation methods: the FY-3G Precipitation Radar Based Model (SGRCM) and the Ground-based Weather Radar Network Consistency Validation Model (AWRCM). They can provide a reliable reference for calibrating the reflectivity factor of weather radar in various frequency bands.
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