An approach to minimize aircraft motion bias in multi-hole probe wind measurements made by small unmanned aerial systems

Al-Ghussain, Loiy; Bailey, Sean C. C.

doi:https://doi.org/10.5194/amt-14-173-2021

Articles | Volume 14, issue 1

https://doi.org/10.5194/amt-14-173-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-14-173-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 1

Research article

|

11 Jan 2021

Research article |

| 11 Jan 2021

An approach to minimize aircraft motion bias in multi-hole probe wind measurements made by small unmanned aerial systems

Loiy Al-Ghussain and Sean C. C. Bailey

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Final revised paper (published on 11 Jan 2021)
Preprint (discussion started on 25 Jun 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

SC1: 'FFT?', William Thielicke, 30 Jun 2020
- AC1: 'FFT?', Sean Bailey, 01 Jul 2020
RC1: 'review', Anonymous Referee #2, 23 Jul 2020
- AC2: 'Response to Referee#1's comments', Sean Bailey, 02 Oct 2020
RC2: 'Review', Anonymous Referee #3, 22 Sep 2020
- AC3: 'Response to Referee#3's comments', Sean Bailey, 02 Oct 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Sean Bailey on behalf of the Authors (02 Oct 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (13 Oct 2020) by Laura Bianco

RR by Anonymous Referee #3 (14 Oct 2020)

ED: Publish subject to technical corrections (18 Nov 2020) by Laura Bianco

AR by Sean Bailey on behalf of the Authors (20 Nov 2020) Author's response Manuscript

Short summary

Unmanned aerial vehicles equipped with multi-hole probes are an effective approach to measure the wind vector with high spatial and temporal resolution. However, the aircraft motion must be removed from the measured signal first, a process often introducing bias due to small errors in the relative orientation of coordinates. We present an approach that has successfully been applied in post-processing, which was found to minimize the influence of aircraft motion on wind measurements.