Articles | Volume 14, issue 12
Atmos. Meas. Tech., 14, 7475–7493, 2021
https://doi.org/10.5194/amt-14-7475-2021
Atmos. Meas. Tech., 14, 7475–7493, 2021
https://doi.org/10.5194/amt-14-7475-2021

Research article 01 Dec 2021

Research article | 01 Dec 2021

Use of thermal signal for the investigation of near-surface turbulence

Matthias Zeeman

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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-2020-500', Nikolas Angelou, 14 Jun 2021
    • AC1: 'Reply on RC1', Matthias Zeeman, 28 Jun 2021
    • AC2: 'Reply on RC1 (General Comments)', Matthias Zeeman, 28 Jun 2021
    • AC3: 'Reply on RC1 (Specific Comments)', Matthias Zeeman, 28 Jun 2021
    • AC4: 'Reply on RC1 (Technical Corrections)', Matthias Zeeman, 28 Jun 2021
  • RC2: 'Comment on amt-2020-500', Anonymous Referee #3, 12 Aug 2021
    • AC5: 'Reply on RC2', Matthias Zeeman, 23 Aug 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Matthias Zeeman on behalf of the Authors (15 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (31 Oct 2021) by Christian Brümmer
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Short summary
Understanding turbulence near the surface is important for many applications. In this work, methods for observing and analysing temperature structures in a near-surface volume were explored. Experiments were conducted to identify modes of organised motion. These help explain interactions between the vegetation and the atmosphere that are not currently well understood. Techniques used include fibre-optic sensing, thermal infrared imaging, signal decomposition, and machine learning.