Articles | Volume 15, issue 1
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, David R. Thompson, Marcin J. Kurowski, and Matthew D. Lebsock


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
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.