Articles | Volume 13, issue 8
https://doi.org/10.5194/amt-13-4589-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-4589-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Aug 2020
Research article |
| 25 Aug 2020
| 25 Aug 2020
Characteristics and performance of wind profiles as observed by the radar wind profiler network of China
Boming Liu
State Key Laboratory of Information Engineering in Surveying,
Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
The State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing 100081, China
The State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing 100081, China
Wei Gong
State Key Laboratory of Information Engineering in Surveying,
Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
Lijuan Shi
Meteorological observation Centre, Chinese Meteorological
Administration, Beijing 100081, China
Yong Zhang
Meteorological observation Centre, Chinese Meteorological
Administration, Beijing 100081, China
Yingying Ma
State Key Laboratory of Information Engineering in Surveying,
Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
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- Extending the wind profile beyond the surface layer by combining physical and machine learning approaches B. Liu et al. 10.5194/acp-24-4047-2024
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27 citations as recorded by crossref.
- Rapid Scale Wind Profiling With Autoregressive Modeling and L-Band Doppler Radar B. Domps et al. 10.1109/TGRS.2022.3207362
- Forecasting Precipitation from Radar Wind Profiler Mesonet and Reanalysis Using the Random Forest Algorithm Y. Wu et al. 10.3390/rs15061635
- Assimilation of horizontal line-of-sight winds in National Centre for Medium Range Weather Forecasting – Global Forecast System S. Dutta & V. Prasad 10.1007/s12040-024-02401-4
- Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations S. Kotthaus et al. 10.5194/amt-16-433-2023
- Technical note: First comparison of wind observations from ESA's satellite mission Aeolus and ground-based radar wind profiler network of China J. Guo et al. 10.5194/acp-21-2945-2021
- Vertical variation of tropical cyclone size in the western North Pacific N. Yang et al. 10.1002/joc.7477
- A novel simplified method for surface albedo together with a look-up table to get an 18-year assessment of surface aerosol direct radiative effect in Central and East China Y. Shi et al. 10.1016/j.atmosenv.2020.117858
- Atmospheric-Boundary-Layer-Height Variation over Mountainous and Urban Sites in Beijing as Derived from Radar Wind-Profiler Measurements R. Solanki et al. 10.1007/s10546-021-00639-9
- Multiple Characteristics of Precipitation Inferred from Wind Profiler Radar Doppler Spectra A. Garcia-Benadi et al. 10.3390/rs14195023
- The Lower Atmospheric Characteristics of Dust Storms Using Ground-Based Sensor Data: A Comparative Analysis of Two Cases in Jinan, China T. Li et al. 10.3390/atmos15030282
- Elucidating the boundary layer turbulence dissipation rate using high-resolution measurements from a radar wind profiler network over the Tibetan Plateau D. Meng et al. 10.5194/acp-24-8703-2024
- Influence of pure sea breeze on urban heat island in Tianjin, China: A perspective from multiple meteorological observations M. Shang et al. 10.1016/j.atmosres.2024.107408
- Aerial Clutter Suppression in a Wind Profiler Radar With Antenna Subarrays M. Yamamoto et al. 10.1109/TGRS.2021.3127208
- ARIES ST Radar: The First Central Himalayan Wind Profiler S. Bhattacharjee et al. 10.1142/S2251171722400050
- Effect of Vertical Wind Shear on PM2.5 Changes over a Receptor Region in Central China X. Sun et al. 10.3390/rs14143333
- Quality Assessment of ERA5 Wind Speed and Its Impact on Atmosphere Environment Using Radar Profiles along the Bohai Bay Coastline C. Suo et al. 10.3390/atmos15101153
- Analysis of a Rainstorm Process in Nanjing Based on Multi-Source Observational Data and Lagrangian Method Y. Mao et al. 10.3390/atmos15080904
- Insights of Boundary Layer Turbulence Over the Complex Terrain of Central Himalaya from GVAX Field Campaign A. Rajput et al. 10.1007/s13143-023-00341-5
- Dust-planetary boundary layer interactions amplified by entrainment and advections X. Zhang et al. 10.1016/j.atmosres.2022.106359
- Elucidating the atmospheric boundary layer turbulence by combining UHF radar wind profiler and radiosonde measurements over urban area of Beijing R. Solanki et al. 10.1016/j.uclim.2022.101151
- Estimating hub-height wind speed based on a machine learning algorithm: implications for wind energy assessment B. Liu et al. 10.5194/acp-23-3181-2023
- Utilization of High-Resolution Boundary Layer Radar and Wavelet to Detect Microscale Downdraft-Updraft Combination G. Nugroho et al. 10.2151/sola.2021-010
- Investigation of Turbulent Dissipation Rate Profiles from Two Radar Wind Profilers at Plateau and Plain Stations in the North China Plain R. Yang et al. 10.3390/rs15164103
- Power Spectra and Diurnal Variation of Low‐Level Horizontal Winds Observed by a Wind Profiler Radar Network Over China Y. Wang et al. 10.1029/2023GL105652
- Comparison of horizontal wind observed by wind profiler radars with ERA5 reanalysis data in Anhui, China X. Deng et al. 10.1007/s00704-022-04247-6
- Investigation of low-level supergeostrophic wind and Ekman spiral as observed by a radar wind profiler in Beijing S. Wang et al. 10.3389/fenvs.2023.1195750
- Extending the wind profile beyond the surface layer by combining physical and machine learning approaches B. Liu et al. 10.5194/acp-24-4047-2024
2 citations as recorded by crossref.
Latest update: 01 Nov 2024
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.
Vertical wind profiles are crucial to a wide range of atmospheric disciplines. However, the wind...
