Articles | Volume 15, issue 8
https://doi.org/10.5194/amt-15-2607-2022
https://doi.org/10.5194/amt-15-2607-2022
Research article
 | 
29 Apr 2022
Research article |  | 29 Apr 2022

Considerations for improving data quality of thermo-hygrometer sensors on board unmanned aerial systems for planetary boundary layer research

Antonio R. Segales, Phillip B. Chilson, and Jorge L. Salazar-Cerreño

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-316', Anonymous Referee #2, 22 Dec 2021
    • AC1: 'Reply on RC1', Antonio Segales, 04 Feb 2022
  • RC2: 'Comment on amt-2021-316', Anonymous Referee #1, 11 Jan 2022
    • AC2: 'Reply on RC2', Antonio Segales, 04 Feb 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Antonio Ricardo Segales Espinosa on behalf of the Authors (04 Feb 2022)  Author's response   Manuscript 
EF by Manal Becker (08 Feb 2022)  Author's tracked changes 
ED: Referee Nomination & Report Request started (11 Feb 2022) by Huilin Chen
RR by Anonymous Referee #2 (01 Mar 2022)
RR by Anonymous Referee #1 (10 Mar 2022)
ED: Publish subject to technical corrections (11 Mar 2022) by Huilin Chen
AR by Antonio Ricardo Segales Espinosa on behalf of the Authors (12 Mar 2022)  Author's response   Manuscript 
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Short summary
The mitigation of undesired contamination, sensor characterization, and signal conditioning and restoration is crucial to improve the reliability of the weather unmanned aerial system (UAS) deliverables. This study presents an overview of the general considerations and procedures to compensate for slow sensor response and other sources of error for temperature and humidity measurements collected using a UAS.