Articles | Volume 21, issue 4
https://doi.org/10.5194/acp-21-2945-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-2945-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical note
| 
26 Feb 2021
Technical note |
| 26 Feb 2021
| 26 Feb 2021
Technical note: First comparison of wind observations from ESA's satellite mission Aeolus and ground-based radar wind profiler network of China
Jianping Guo
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing 100081, China
Boming Liu
CORRESPONDING AUTHOR
State Key Laboratory of Information Engineering in Surveying, Mapping
and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430019, China
Wei Gong
State Key Laboratory of Information Engineering in Surveying, Mapping
and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430019, China
Lijuan Shi
Meteorological Observation Centre, China Meteorological
Administration, Beijing 100081, China
Yong Zhang
Meteorological Observation Centre, China Meteorological
Administration, Beijing 100081, China
Yingying Ma
State Key Laboratory of Information Engineering in Surveying, Mapping
and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430019, China
Jian Zhang
Hubei Subsurface Multi-Scale Imaging Key Laboratory, Institute of
Geophysics and Geomatics, China University of Geosciences, Wuhan 430074,
China
Tianmeng Chen
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing 100081, China
Kaixu Bai
School of Geographic Sciences, East China Normal University, Shanghai
200241, China
Ad Stoffelen
Royal Netherlands Meteorological Institute (KNMI), 3730 AE De
Bilt, the Netherlands
Gerrit de Leeuw
Royal Netherlands Meteorological Institute (KNMI), 3730 AE De
Bilt, the Netherlands
Xiaofeng Xu
China Meteorological Administration, Beijing 100081, China
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- The covariability between temperature inversions and aerosol vertical distribution over China Z. Zhu et al. 10.1016/j.apr.2023.101959
- Validation of the Aeolus L2B wind product with airborne wind lidar measurements in the polar North Atlantic region and in the tropics B. Witschas et al. 10.5194/amt-15-7049-2022
- High Pollution Loadings Influence the Reliability of Himawari-8 Cloud-Mask in Comparison with Space-Based Lidar and Surface Observations W. Wang et al. 10.1155/2022/2492567
- Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at Réunion island and the Observatoire de Haute-Provence M. Ratynski et al. 10.5194/amt-16-997-2023
- Validation of Aeolus winds using ground-based radars in Antarctica and in northern Sweden E. Belova et al. 10.5194/amt-14-5415-2021
- The relationship between atmospheric boundary layer and temperature inversion layer and their aerosol capture capabilities B. Liu et al. 10.1016/j.atmosres.2022.106121
- Validation activities of Aeolus wind products on the southeastern Iberian Peninsula J. Abril-Gago et al. 10.5194/acp-23-8453-2023
- Validation of Aeolus L2B products over the tropical Atlantic using radiosondes M. Borne et al. 10.5194/amt-17-561-2024
- Convective System Observations by LEO and GEO Satellites in Combination T. La & C. Messager 10.1109/JSTARS.2021.3127401
- 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
- Validation of Aeolus Level 2B wind products using wind profilers, ground-based Doppler wind lidars, and radiosondes in Japan H. Iwai et al. 10.5194/amt-14-7255-2021
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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
- Rapid Scale Wind Profiling With Autoregressive Modeling and L-Band Doppler Radar B. Domps et al. 10.1109/TGRS.2022.3207362
- Study of the seasonal variation in Aeolus wind product performance over China using ERA5 and radiosonde data S. Chen et al. 10.5194/acp-21-11489-2021
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- Study of Persistent Haze Pollution in Winter over Jinan (China) Based on Ground-Based and Satellite Observations H. Li et al. 10.3390/rs13234862
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- Correction of wind bias for the lidar on board Aeolus using telescope temperatures F. Weiler et al. 10.5194/amt-14-7167-2021
- Inter-comparison of wind measurements in the atmospheric boundary layer and the lower troposphere with Aeolus and a ground-based coherent Doppler lidar network over China S. Wu et al. 10.5194/amt-15-131-2022
- Bagged Tree Model to Retrieve Planetary Boundary Layer Heights by Integrating Lidar Backscatter Profiles and Meteorological Parameters W. Wei et al. 10.3390/rs14071597
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- Validation of the Aeolus Level-2B wind product over Northern Canada and the Arctic C. Chou et al. 10.5194/amt-15-4443-2022
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- Statistical validation of Aeolus L2A particle backscatter coefficient retrievals over ACTRIS/EARLINET stations on the Iberian Peninsula J. Abril-Gago et al. 10.5194/acp-22-1425-2022
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Latest update: 29 Jun 2024
Short summary
Vertical wind profiles are crucial to a wide range of atmospheric disciplines. Aeolus is the first satellite mission to directly observe wind profile information on a global scale. However, Aeolus wind products over China have thus far not been evaluated by in situ comparison. This work is expected to let the public and science community better know the Aeolus wind products and to encourage use of these valuable data in future research and applications.
Vertical wind profiles are crucial to a wide range of atmospheric disciplines. Aeolus is the...
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