Articles | Volume 13, issue 1
https://doi.org/10.5194/amt-13-191-2020
https://doi.org/10.5194/amt-13-191-2020
Research article
 | 
16 Jan 2020
Research article |  | 16 Jan 2020

Using computational fluid dynamics and field experiments to improve vehicle-based wind measurements for environmental monitoring

Tara Hanlon and David Risk

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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 Tara Hanlon on behalf of the Authors (07 Jun 2019)  Author's response    Manuscript
ED: Reconsider after major revisions (11 Jun 2019) by Ad Stoffelen
ED: Referee Nomination & Report Request started (12 Jun 2019) by Ad Stoffelen
RR by Anonymous Referee #2 (05 Jul 2019)
RR by Anonymous Referee #3 (26 Jul 2019)
ED: Reconsider after major revisions (29 Jul 2019) by Ad Stoffelen
AR by Tara Hanlon on behalf of the Authors (30 Sep 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (07 Oct 2019) by Ad Stoffelen
ED: Publish as is (18 Oct 2019) by Ad Stoffelen

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Tara Hanlon on behalf of the Authors (19 Dec 2019)   Author's adjustment  
EA: Adjustments approved (03 Jan 2020) by Ad Stoffelen
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Short summary
In this study, we aimed to improve accuracy of wind speed and direction measurements from an anemometer mounted atop a research vehicle. Controlled field tests and computer simulations showed that the vehicle shape biases airflow above the vehicle. The results indicate that placing an anemometer at a significant height (> 1 m) above the vehicle, and calibrating anemometer measurements for vehicle shape and wind angle, can be effective in reducing bias in measurements of wind speed and direction.