Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 13, issue 6
Articles | Volume 13, issue 6
https://doi.org/10.5194/amt-13-3487-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-3487-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 6
Research article
 | 
30 Jun 2020
Research article |  | 30 Jun 2020

Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements

Sebastian Landwehr, Iris Thurnherr, Nicolas Cassar, Martin Gysel-Beer, and Julia Schmale

Viewed

Total article views: 5,166 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,108 952 106 5,166 208 151 143
  • HTML: 4,108
  • PDF: 952
  • XML: 106
  • Total: 5,166
  • Supplement: 208
  • BibTeX: 151
  • EndNote: 143
Views and downloads (calculated since 01 Oct 2019)
Cumulative views and downloads (calculated since 01 Oct 2019)

Viewed (geographical distribution)

Total article views: 5,166 (including HTML, PDF, and XML) Thereof 4,902 with geography defined and 264 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 18 May 2026
Download
Short summary
Shipborne wind speed measurements are relevant for field studies of air–sea interaction processes. Distortion of the airflow by the ship’s structure can, however, lead to errors. We estimate the flow distortion bias by comparing the observations to ERA-5 reanalysis data. The underlying assumptions are that the bias depends only on the relative orientation of the ship to the wind direction and that the ERA-5 wind speeds are (on average) representative of the true wind speed.
Read more
Share