A Quality Control Scheme for Weather Radar Radial Speed toward Data Assimilation

Authors

  • Yin Liu

    1. Jiangsu Meteorological Observation Center, Nanjing 210041, China; 2. Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China; 3. College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu 610225, China; 4. Key Laboratory of Atmosphere Sounding, China Meteorological Administration, Chengdu 610225, China
  • Mingyue Su

    1. Jiangsu Meteorological Observation Center, Nanjing 210041, China; 2. Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China
  • Hong Zhao

    Nanjing Meteorology Bureau, Nanjing 210019, China
  • Minjie Xia

    Nanjing Meteorology Bureau, Nanjing 210019, China

DOI:

https://doi.org/10.30564/jees.v7i6.9379
Received: 5 April 2025 | Revised: 26 May 2025 | Accepted: 28 May 2025 | Published Online: 12 June 2025

Abstract

In order to further enhance the numerical application of weather radar radial velocity, this paper proposes a quality control scheme for weather radar radial velocity from the perspective of data assimilation. The proposed scheme is based on the WRFDA (Weather Research and Forecasting Data Assimilation) system and utilizes the biweight algorithm to perform quality control on weather radar radial velocity data. A series of quality control tests conducted over the course of one month demonstrate that the scheme can be seamlessly integrated into the data assimilation process. The scheme is characterized by its simplicity, fast implementation, and ease of maintenance. By determining an appropriate threshold for quality control, the percentage of outliers identified by the scheme remains highly stable over time. Moreover, the mean errors and standard deviations of the O-B (observation-minus-background) values are significantly reduced, improving the overall data quality. The main information and spatial distribution features of the data are preserved effectively. After quality control, the distribution of the O-B Probability Density Function is adjusted in a manner that brings it closer to a Gaussian distribution. This adjustment is beneficial for the subsequent data assimilation process, contributing to more accurate numerical weather predictions. Thus, the proposed quality control scheme provides a valuable tool for improving weather radar data quality and enhancing numerical forecasting performance.

Keywords:

Weather Radar Radial Velocity; Quality Control; Data Assimilation

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How to Cite

Liu, Y., Su, M., Zhao, H., & Xia, M. (2025). A Quality Control Scheme for Weather Radar Radial Speed toward Data Assimilation. Journal of Environmental & Earth Sciences, 7(6), 414–425. https://doi.org/10.30564/jees.v7i6.9379

Issue

Vol. 7 , Iss. 6 (June 2025)

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Article

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Copyright © 2025 Yin Liu, Mingyue Su, Hong Zhao, Minjie Xia

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This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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