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Review

Dual-Polarization Radar Quantitative Precipitation Estimation (QPE): Principles, Operations, and Challenges

1
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2
Shenzhen National Climate Observatory, Shenzhen 518040, China
3
University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(21), 3619; https://doi.org/10.3390/rs17213619 (registering DOI)
Submission received: 24 September 2025 / Revised: 29 October 2025 / Accepted: 30 October 2025 / Published: 31 October 2025

Abstract

Quantitative precipitation estimation (QPE) is one of the primary applications of weather radar. Over the last several decades, dual-polarization radars have significantly improved QPE accuracy by providing additional observational variables that offer more microphysical information about precipitation particles. In this work, we review QPE methods for dual-polarization radars and summarize their advantages and disadvantages from both theoretical and practical perspectives. The development paths and current status of operational QPE systems in the United States, China, and France are examined. We demonstrate how dual-polarization radars have improved QPE accuracy in these systems not only directly through the application of polarimetric QPE methods, but also indirectly through the more accurate identification of non-meteorological echoes, the mitigation of the partial blockage effect, and the detection of melting layers. The challenges are discussed for dual-polarization radar QPE, including the quality of polarimetric variables, QPE quality in complex terrain, estimation of surface precipitation with observations within or above the melting layer, and polarimetric QPE methods for snow.
Keywords: dual-polarization radars; quantitative precipitation estimation (QPE); drop size distribution (DSD) dual-polarization radars; quantitative precipitation estimation (QPE); drop size distribution (DSD)

Share and Cite

MDPI and ACS Style

Zhang, Z.; Zhao, Z.; Qi, Y.; Xiong, M. Dual-Polarization Radar Quantitative Precipitation Estimation (QPE): Principles, Operations, and Challenges. Remote Sens. 2025, 17, 3619. https://doi.org/10.3390/rs17213619

AMA Style

Zhang Z, Zhao Z, Qi Y, Xiong M. Dual-Polarization Radar Quantitative Precipitation Estimation (QPE): Principles, Operations, and Challenges. Remote Sensing. 2025; 17(21):3619. https://doi.org/10.3390/rs17213619

Chicago/Turabian Style

Zhang, Zhe, Zhanfeng Zhao, Youcun Qi, and Muqi Xiong. 2025. "Dual-Polarization Radar Quantitative Precipitation Estimation (QPE): Principles, Operations, and Challenges" Remote Sensing 17, no. 21: 3619. https://doi.org/10.3390/rs17213619

APA Style

Zhang, Z., Zhao, Z., Qi, Y., & Xiong, M. (2025). Dual-Polarization Radar Quantitative Precipitation Estimation (QPE): Principles, Operations, and Challenges. Remote Sensing, 17(21), 3619. https://doi.org/10.3390/rs17213619

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