Articles | Volume 15, issue 1
Atmos. Meas. Tech., 15, 117–129, 2022
https://doi.org/10.5194/amt-15-117-2022
Atmos. Meas. Tech., 15, 117–129, 2022
https://doi.org/10.5194/amt-15-117-2022

Research article 05 Jan 2022

Research article | 05 Jan 2022

New sampling strategy mitigates a solar-geometry-induced bias in sub-kilometre vapour scaling statistics derived from imaging spectroscopy

Mark T. Richardson et al.

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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-2021-163', Anonymous Referee #1, 31 Aug 2021
    • AC3: 'Reply on RC1', Mark Richardson, 06 Oct 2021
  • RC2: 'Comment on amt-2021-163', Anonymous Referee #2, 04 Sep 2021
    • AC1: 'Reply on RC2', Mark Richardson, 07 Sep 2021
    • AC2: 'Reply on RC2', Mark Richardson, 06 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Mark Richardson on behalf of the Authors (12 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (13 Oct 2021) by Joanna Joiner
RR by Anonymous Referee #1 (22 Oct 2021)
RR by Anonymous Referee #2 (03 Nov 2021)
RR by Alexander Marshak (12 Nov 2021)
ED: Publish subject to technical corrections (15 Nov 2021) by Joanna Joiner
AR by Mark Richardson on behalf of the Authors (23 Nov 2021)  Author's response    Manuscript
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Short summary
Sunlight can pass diagonally through the atmosphere, cutting through the 3-D water vapour field in a way that smears 2-D maps of imaging spectroscopy vapour retrievals. In simulations we show how this smearing is towards or away from the Sun, so calculating across the solar direction allows sub-kilometre information about water vapour's spatial scaling to be calculated. This could be tested by airborne campaigns and used to obtain new information from upcoming spaceborne data products.