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

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.

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Publication Details

Journal
Remote Sensing
Published
2025-10-31
DOI
https://doi.org/10.3390/rs17213619
Citations
1
Primary Topic
Precipitation Measurement and Analysis
Type
article
Field-Weighted Citation Impact
1.30
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article

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

Muqi Xiong, Zhanfeng Zhao, Youcun Qi, Zhe Zhang
1 citations
Remote Sensing
Precipitation Measurement and Analysis
1.30
article

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

Muqi Xiong, Zhanfeng Zhao, Youcun Qi, Zhe Zhang
article en
1 citations

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.

Remote SensingVol. 17(21)
Chinese Academy of Sciences (CN), Meteorological Bureau of Shenzhen Municipality (CN), Institute of Geographic Sciences and Natural Resources Research (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 16%
Precipitation Measurement and Analysis
1.30
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