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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Lorena Grabowski on behalf of the Authors (14 Apr 2020)  Author's response
ED: Referee Nomination & Report Request started (18 Apr 2020) by Ad Stoffelen
RR by Anonymous Referee #2 (23 Apr 2020)
RR by Anonymous Referee #1 (07 May 2020)
ED: Publish subject to technical corrections (16 May 2020) by Ad Stoffelen
AR by Sebastian Landwehr on behalf of the Authors (25 May 2020)  Author's response    Manuscript
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.