Journal of Atmospheric and Environmental Optics, Volume. 18, Issue 6, 516(2023)

Preliminary research on evaluation of wind profile radar data in Hefei area

ZHU Song, DENG Xueliang*, SHEN Weiwei, WU Yue, and JIN Xiaolong
Author Affiliations
  • Hefei Meteorological Bureau, Hefei 230041, China
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    As a new type of wind measurement radar, wind profile radar can continuously provide the distribution of meteorological elements such as horizontal wind field, vertical airflow, and atmospheric refractive index structure constant with altitude. Moreover, it has the characteristics of high spatiotemporal resolution, good continuity, and real-time performance, making it an important equipment for high-altitude meteorological detection. The quality of radar data is a fundamental prerequisite for the operational use of the data. This article compares the fifth generation reanalysis data (ERA5) of the European Centre for Medium-Range Weather Forecasts (ECWMF) with balloon sounding data to verify the applicability of ERA5 reanalysis data in the Anhui region, and then uses it to evaluate the wind profile radar data of Hefei and Chaohu, China, where no balloon sounding data is available. The results show that: (1) ERA5 reanalysis data is significantly correlated with balloon sounding data, and multiple indicators indicate that ERA5 reanalysis data can be used as an evaluation benchmark, and is feasible for evaluating wind profile radar data in areas without balloon sounding data. (2) The intensity of atmospheric turbulence has a significant impact on the maximum detection height of wind profile radar. According to seasons, the maximum detection heights are 2.7 km in spring, 4.5 km in summer, 3.6 km in autumn, and 2 km in winter. (3) The quality of the u component wind profile radar data in Hefei area is better than that of the v component in terms of data correlation, average deviation and root mean square error. Seasonally, the data quality is ranked as winter, summer, spring, and autumn in descending order. Among them, the data of spring, summer and winter are of good quality and can be assimilated into the numerical forecast model, while the autumn v component data needs to undergo deviation correction and quality control before application.

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    Song ZHU, Xueliang DENG, Weiwei SHEN, Yue WU, Xiaolong JIN. Preliminary research on evaluation of wind profile radar data in Hefei area[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(6): 516

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    Paper Information

    Category:

    Received: Feb. 6, 2023

    Accepted: --

    Published Online: Dec. 22, 2023

    The Author Email: DENG Xueliang (dengxueliang9989@aliyun.com)

    DOI:10.3969/j.issn.1673-6141.2023.06.002

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