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ORIGINAL RESEARCH article

Front. Remote Sens.
Sec. Atmospheric Remote Sensing
Volume 6 - 2025 | doi: 10.3389/frsen.2025.1546565

A Comparative Study on Quantitative Precipitation Estimation Based on GPM Satellite and X-band Phased Array Weather Radar

Provisionally accepted
Yongyan Su Yongyan Su 1Di Wang Di Wang 2Wenyu Kong Wenyu Kong 2Bo Zhao Bo Zhao 3*Yan Liu Yan Liu 4Xuejiao Chen Xuejiao Chen 3Debin Su Debin Su 2
  • 1 China Meteorological Administration Public Meteorological Service Center, Beijing, China
  • 2 Chengdu University of Information Technology, Chengdu, Sichuan, China
  • 3 China Meteorological Administration Xiong'an Atmospheric Boundary Layer Key Laboratory, Hebei, China
  • 4 Sun Yat-sen University, Guangzhou, Guangdong Province, China

The final, formatted version of the article will be published soon.

    This study compares the performance of the Global Precipitation Measurement (GPM) satellite with that of the X-band Phased Array Weather Radar (XPAR) in terms of precipitation measurement accuracy, particularly in relation to radar echoes. In order to enhance the detection and early warning of heavy rainfall events, the paper presents a comparative analysis of two precipitation events that occurred in 2023 in Xiong'an New Area, Hebei Province, China. Utilizing XPAR, GPM, and ground-based observational data, the study reveals that XPAR outperforms the GPM satellite in quantitative precipitation estimation. In one of the precipitation events, the correlation coefficient between XPAR data and ground observations was approximately 0.88, while for the GPM satellite it was 0.66. Furthermore, the root mean square error and mean absolute error between XPAR and ground observations were 1.2 and 0.64, while for GPM and ground observations, the two parameters were 6.98 and 1.91.

    Keywords: X-band phased array weather radar, GPM satellite, precipitation, quantitative, Estimation

    Received: 17 Dec 2024; Accepted: 06 Feb 2025.

    Copyright: © 2025 Su, Wang, Kong, Zhao, Liu, Chen and Su. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Bo Zhao, China Meteorological Administration Xiong'an Atmospheric Boundary Layer Key Laboratory, Hebei, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.