Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 9
Articles | Volume 15, issue 9
https://doi.org/10.5194/amt-15-2719-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-15-2719-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 9
Research article
 | 
06 May 2022
Research article |  | 06 May 2022

Exploiting Aeolus level-2b winds to better characterize atmospheric motion vector bias and uncertainty

Katherine E. Lukens, Kayo Ide, Kevin Garrett, Hui Liu, David Santek, Brett Hoover, and Ross N. Hoffman

Viewed

Total article views: 2,371 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,689 607 75 2,371 63 82
  • HTML: 1,689
  • PDF: 607
  • XML: 75
  • Total: 2,371
  • BibTeX: 63
  • EndNote: 82
Views and downloads (calculated since 13 Sep 2021)
Cumulative views and downloads (calculated since 13 Sep 2021)

Viewed (geographical distribution)

Total article views: 2,371 (including HTML, PDF, and XML) Thereof 2,325 with geography defined and 46 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Dec 2024
Download
Short summary
Winds that are crucial to weather forecasting derived from two different techniques – tracking satellite images (AMVs) and direct measurement of molecular and aerosol motions by Doppler lidar (Aeolus satellite winds) – are compared. We find that AMVs and Aeolus winds are highly correlated. Aeolus Mie-cloudy winds have great potential value as a comparison standard for AMVs. Larger differences are found in the Southern Hemisphere related to higher wind speed and higher vertical variation in wind.
Read more
Special issue
Aeolus data and their application (AMT/ACP/WCD inter-journal...