Articles | Volume 13, issue 8
https://doi.org/10.5194/amt-13-4589-2020
https://doi.org/10.5194/amt-13-4589-2020
Research article
 | 
25 Aug 2020
Research article |  | 25 Aug 2020

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

Boming Liu, Jianping Guo, Wei Gong, Lijuan Shi, Yong Zhang, and Yingying Ma

Related authors

Extending the wind profile beyond the surface layer by combining physical and machine learning approaches
Boming Liu, Xin Ma, Jianping Guo, Renqiang Wen, Hui Li, Shikuan Jin, Yingying Ma, Xiaoran Guo, and Wei Gong
Atmos. Chem. Phys., 24, 4047–4063, https://doi.org/10.5194/acp-24-4047-2024,https://doi.org/10.5194/acp-24-4047-2024, 2024
Short summary
A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia
Shikuan Jin, Yingying Ma, Zhongwei Huang, Jianping Huang, Wei Gong, Boming Liu, Weiyan Wang, Ruonan Fan, and Hui Li
Atmos. Chem. Phys., 23, 8187–8210, https://doi.org/10.5194/acp-23-8187-2023,https://doi.org/10.5194/acp-23-8187-2023, 2023
Short summary
Estimating hub-height wind speed based on a machine learning algorithm: implications for wind energy assessment
Boming Liu, Xin Ma, Jianping Guo, Hui Li, Shikuan Jin, Yingying Ma, and Wei Gong
Atmos. Chem. Phys., 23, 3181–3193, https://doi.org/10.5194/acp-23-3181-2023,https://doi.org/10.5194/acp-23-3181-2023, 2023
Short summary
Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm
Shikuan Jin, Yingying Ma, Cheng Chen, Oleg Dubovik, Jin Hong, Boming Liu, and Wei Gong
Atmos. Meas. Tech., 15, 4323–4337, https://doi.org/10.5194/amt-15-4323-2022,https://doi.org/10.5194/amt-15-4323-2022, 2022
Short summary
Carbon dioxide cover: carbon dioxide column concentration seamlessly distributed globally during 2009–2020
Haowei Zhang, Boming Liu, Xin Ma, Ge Han, Qinglin Yang, Yichi Zhang, Tianqi Shi, Jianye Yuan, Wanqi Zhong, Yanran Peng, Jingjing Xu, and Wei Gong
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-215,https://doi.org/10.5194/essd-2022-215, 2022
Preprint withdrawn
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: In Situ Measurement | Topic: Validation and Intercomparisons
Impacts of anemometer changes, site relocations and processing methods on wind speed trends in China
Yi Liu, Lihong Zhou, Yingzuo Qin, Cesar Azorin-Molina, Cheng Shen, Rongrong Xu, and Zhenzhong Zeng
Atmos. Meas. Tech., 17, 1123–1131, https://doi.org/10.5194/amt-17-1123-2024,https://doi.org/10.5194/amt-17-1123-2024, 2024
Short summary
Validation of Aeolus L2B products over the tropical Atlantic using radiosondes
Maurus Borne, Peter Knippertz, Martin Weissmann, Benjamin Witschas, Cyrille Flamant, Rosimar Rios-Berrios, and Peter Veals
Atmos. Meas. Tech., 17, 561–581, https://doi.org/10.5194/amt-17-561-2024,https://doi.org/10.5194/amt-17-561-2024, 2024
Short summary
Estimating the turbulent kinetic energy dissipation rate from one-dimensional velocity measurements in time
Marcel Schröder, Tobias Bätge, Eberhard Bodenschatz, Michael Wilczek, and Gholamhossein Bagheri
Atmos. Meas. Tech., 17, 627–657, https://doi.org/10.5194/amt-17-627-2024,https://doi.org/10.5194/amt-17-627-2024, 2024
Short summary
Evaluation of in situ observations on Marine Weather Observer during Typhoon Sinlaku
Wenying He, Hongbin Chen, Hongyong Yu, Jun Li, Jidong Pan, Shuqing Ma, Xuefen Zhang, Rang Guo, Bingke Zhao, Xi Chen, Xiangao Xia, and Kaicun Wang
Atmos. Meas. Tech., 17, 135–144, https://doi.org/10.5194/amt-17-135-2024,https://doi.org/10.5194/amt-17-135-2024, 2024
Short summary
Validation of the WRF-ARW eclipse model with measurements from the 2019 and 2020 total solar eclipses
Carl E. Spangrude, Jennifer W. Fowler, W. Graham Moss, and June Wang
Atmos. Meas. Tech., 16, 5167–5179, https://doi.org/10.5194/amt-16-5167-2023,https://doi.org/10.5194/amt-16-5167-2023, 2023
Short summary

Cited articles

Angevine, W. M., White, A. B., and Avery, S. K.: Boundary-layer depth and entrainment zone characterization with a boundary-layer profiler, Bound.-Lay. Meteorol., 68, 375–385, https://doi.org/10.1007/BF00706797, 1994. 
Benjamin, S. G., Schwartz, B. E., Szoke, E. J., and Koch, S. E.: The value of wind profiler data in US weather forecasting, B. Am. Meteorol. Soc., 85, 1871–1886. 2004. 
Bentamy, A., Queffeulou, P., Quilfen, Y., and Katsaros, K.: Ocean surface wind fields estimated from satellite active and passive microwave instruments, IEEE T. Geosci. Remote, 37, 2469–2486, https://doi.org/10.1109/36.789643, 1999. 
Bianco, L., Wilczak, J. M., and White, A. B.: Convective boundary layer depth estimation from wind profilers: Statistical comparison between an automated algorithm and expert estimations, J. Atmos. Ocean. Tech., 25, 1397–1413, https://doi.org/10.1175/2008jtecha981.1, 2008. 
Chipilski, H. G., Wang, X., and Parsons, D. B.: Impact of Assimilating PECAN Profilers on the Prediction of Bore-Driven Nocturnal Convection: A Multi-Scale Forecast Evaluation for the 6 July 2015 Case Study, Mon. Weather Rev., 148, 1147–1175, https://doi.org/10.1175/MWR-D-19-0171.1, 2019. 
Download
Short summary
Vertical wind profiles are crucial to a wide range of atmospheric disciplines. However, the wind profile across China remains poorly understood. Here we reveal the salient features of winds from the radar wind profile of China, including the main instruments, spatial coverage and sampling frequency. This work is expected to allow the public and scientific community to be more familiar with the nationwide network and encourage the use of these valuable data in future research and applications.