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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/amt-2020-75
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2020-75
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 06 Mar 2020

Submitted as: research article | 06 Mar 2020

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This preprint is currently under review for the journal AMT.

Characteristics and performance of vertical winds as observed by the radar wind profiler network of China

Boming Liu1,, Jianping Guo2,, Wei Gong1, Lijuan Shi3, Yong Zhang3, and Yingying Ma1 Boming Liu et al.
  • 1State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
  • 2The State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
  • 3Meteorological observation Centre, Chinese Meteorological Administration, Beijing 100081, China
  • These authors contributed equally to this work.

Abstract. Vertical wind profiles are the foundation for numerical weather prediction systems research. Large-scale vertical wind data have been previously documented from network observations in several countries, but the nationwide vertical wind observations are poorly understood in China. In this study, the salient characteristics and performance of vertical winds as observed by the radar wind profiler network of China was investigated, which consists of more than 100 stations instrumented with 1290-MHz Doppler radar designed primarily for measuring vertical-resolved winds. This network has good spatial coverage, with denser sites in coastal areas. The vertical wind profiles observed by this network can provide the horizontal wind direction, horizontal wind speed, and vertical wind speed for every 120 m interval within the height of 0 to 3 km. The availability of the radar wind profiler network has been investigated in terms of effective detection height, data acquisition rate, data confidence, and data accuracy. Further comparison analysis with reanalysis data indicated that the observation data at 89 stations are recommended, and 17 stations are unrecommended. The vertical wind profiles can serve as important input dataset assimilated into numerical weather prediction system at both regional and global scales.

Boming Liu et al.

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Latest update: 05 Apr 2020
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Short summary
Vertical wind profiles are crucial to a wide range of atmospheric disciplines. However it remains poorly understood for the wind profile across China. Here we reveal the salient features of winds from the radar wind profile of China, including the main instruments, spatial coverage, sampling frequency, among others. This work is expected to let the public and science community better know the nationwide network and to encourage use of these valuable data in future researches and applications.
Vertical wind profiles are crucial to a wide range of atmospheric disciplines. However it...
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