Design and application of two consistency verification methods for weather radar networks in the South China region
Year: 2025
Type: article
Abstract: . The observational consistency between ground-based weather radars significantly impacts the quality of mosaic products and severe convection identification products. The real-time monitoring of observational biases between radars can provide a basis for calibration and adjustment. This study designed a consistency verification model for weather radar networks based on the FY-3G precipitation radar (SGRCM) and a ground-based weather radar network consistency verification model (AWRCM). From January to October 2024, observational experiments were conducted in the South China region involving 19 S-band weather radars and 13 X-band phased-array weather radars. The aim was to analyze the influencing factors of the consistency verification models and the observational biases of reflectivity factors for radars with different bands and systems. For the S-band weather radars, the difference in the mean bias between the two models ranged from -1.5 dB to 1.4 dB, and the difference in the mean standard deviation ranged from -1.2 dB to 1.2 dB. For the X-band phased-array weather radars, the difference in the mean bias between the two models ranged from -6.67 dB to 0.84 dB, and the difference in the mean standard deviation ranged from -0.38 dB to 1.51 dB. The evaluation results of the two models show good consistency for weather radars with different bands.
Authors: Heng Hu, Shunqiang Pei, Lei Wu, Nan Shao, Chunyan Zhang, Hao Wen, Yunlei Liu
Institution: China Meteorological Administration
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,585
Award: G5407913561
OpenAlex ID: W4415373531