Preprints
https://doi.org/10.5194/amt-2021-260
https://doi.org/10.5194/amt-2021-260

  27 Aug 2021

27 Aug 2021

Review status: a revised version of this preprint was accepted for the journal AMT and is expected to appear here in due course.

Inter-comparison of wind measurements in the atmospheric boundary layer with Aeolus and a ground-based coherent Doppler lidar network over China

Songhua Wu1,2,3, Kangwen Sun1, Guangyao Dai1, Xiaoye Wang1, Xiaoying Liu1, Bingyi Liu1,2, Xiaoquan Song1,3, Oliver Reitebuch4, Rongzhong Li5, Jiaping Yin5, and Xitao Wang5 Songhua Wu et al.
  • 1College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266100, China
  • 2Laboratory for Regional Oceanography and Numerical Modelling, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266200, China
  • 3Institute for Advanced Ocean Study, Ocean University of China, Qingdao, 266100, China
  • 4German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e.V., DLR), Institute of Atmospheric Physics, Oberpfaffenhofen, 82234, Germany
  • 5Qingdao Leice Transient Technology Co., Ltd., Qingdao, 266100, China

Abstract. After the successful launch of Aeolus which is the first spaceborne wind lidar developed by the European Space Agency (ESA) on 22 August 2018, we deployed several ground-based coherent Doppler wind lidars (CDLs) to verify the wind observations from Aeolus. By the simultaneous wind measurements with CDLs at 17 stations over China, the Rayleigh-clear and Mie-cloudy horizontal-line-of-sight (HLOS) wind velocities from Aeolus in the atmospheric boundary layer are compared with that from CDLs. To ensure the quality of the measurement data from CDL and Aeolus, strict quality controls are applied in this study. Overall, 52 simultaneous Mie-cloudy comparison pairs and 387 Rayleigh-clear comparison pairs from this campaign are acquired. All of the Aeolus-produced L2B Mie-cloudy HLOS, Rayleigh-clear HLOS and CDL-produced HLOS are compared individually. For the inter-comparison result of Mie-cloudy HLOS wind and CDL-produced HLOS wind, the correlation coefficient, the standard deviation, the scaled MAD and the bias are 0.83, 3.15 m/s, 2.64 m/s and −0.25 m/s respectively, while the "y = ax" slope, the "y = ax + b" slope and the "y = ax + b" intercept are 0.93, 0.92 and −0.33 m/s. For the Rayleigh-clear HLOS wind, the correlation coefficient, the standard deviation, the scaled MAD and the bias are 0.62, 7.07 m/s, 5.77 m/s and −1.15 m/s respectively, while the "y = ax" slope, the "y = ax + b" slope and the "y = ax + b" intercept are 1.00, 0.96 and −1.2 m/s. It is found that the standard deviation, the scaled MAD and the bias on ascending tracks are slightly better than that on descending tracks. Moreover, to evaluate the accuracy of Aeolus HLOS wind measurements under different product baselines, the Aeolus L2B Mie-cloudy HLOS wind data and L2B Rayleigh-clear HLOS wind data under Baselines 07/08, Baselines 09/10, and Baseline 11 are compared against the CDL-retrieved HLOS wind data separately. From the comparison results, marked misfits between the wind data from Aeolus Baselines 07/08 and wind data from CDL in planetary boundary layer are found. With the continuous calibration and validation and product processor updates, the performances of Aeolus wind measurements under Baselines 09/10 and Baseline 11 are improved significantly. Considering the influence of turbulence and convection in the planetary boundary layers, higher values for the vertical velocity are common in this region. Hence, as a special note, the vertical velocity could impact the HLOS wind velocity retrieval from Aeolus.

Songhua Wu et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-260', Anonymous Referee #1, 06 Sep 2021
    • AC1: 'Reply on RC1', Kangwen Sun, 30 Oct 2021
  • RC2: 'Comment on amt-2021-260', Anonymous Referee #2, 13 Sep 2021
    • AC2: 'Reply on RC2', Kangwen Sun, 30 Oct 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-260', Anonymous Referee #1, 06 Sep 2021
    • AC1: 'Reply on RC1', Kangwen Sun, 30 Oct 2021
  • RC2: 'Comment on amt-2021-260', Anonymous Referee #2, 13 Sep 2021
    • AC2: 'Reply on RC2', Kangwen Sun, 30 Oct 2021

Songhua Wu et al.

Songhua Wu et al.

Viewed

Total article views: 665 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
540 102 23 665 2 34
  • HTML: 540
  • PDF: 102
  • XML: 23
  • Total: 665
  • BibTeX: 2
  • EndNote: 34
Views and downloads (calculated since 27 Aug 2021)
Cumulative views and downloads (calculated since 27 Aug 2021)

Viewed (geographical distribution)

Total article views: 622 (including HTML, PDF, and XML) Thereof 622 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 Nov 2021
Download
Short summary
During the VAL-OUC campaign, we established coherent Doppler lidars (CDLs) network over China to verify the L2B products from Aeolus. By the simultaneous wind measurements with CDLs at 17 stations, the L2B HLOS data from Aeolus are compared with that from CDLs. To our knowledge, the VAL-OUC campaign is the most extensive so far between CDL and Aeolus in the planetary boundary layer for different atmospheric scenes. The vertical velocity impact on the HLOS retrieval from Aeolus are evaluated.