Articles | Volume 15, issue 13
Atmos. Meas. Tech., 15, 3925–3940, 2022
https://doi.org/10.5194/amt-15-3925-2022

Special issue: Aeolus data and their application (AMT/ACP/WCD inter-journal...

Atmos. Meas. Tech., 15, 3925–3940, 2022
https://doi.org/10.5194/amt-15-3925-2022
Research article
05 Jul 2022
Research article | 05 Jul 2022

A statistically optimal analysis of systematic differences between Aeolus horizontal line-of-sight winds and NOAA's Global Forecast System

Hui Liu 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-2022-20', Anonymous Referee #1, 09 Feb 2022
    • AC1: 'Reply on RC1', Hui Liu, 09 Apr 2022
  • RC2: 'Comment on amt-2022-20', Anonymous Referee #2, 02 Mar 2022
    • AC2: 'Reply on RC2', Hui Liu, 09 Apr 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Hui Liu on behalf of the Authors (09 Apr 2022)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (24 Apr 2022) by Ad Stoffelen
RR by Anonymous Referee #2 (04 May 2022)
RR by Anonymous Referee #1 (05 May 2022)
ED: Publish subject to minor revisions (review by editor) (15 May 2022) by Ad Stoffelen
AR by Hui Liu on behalf of the Authors (21 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (09 Jun 2022) by Ad Stoffelen
AR by Hui Liu on behalf of the Authors (11 Jun 2022)  Author's response    Manuscript
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Short summary
A total least squares (TLS) regression is used to optimally estimate linear speed-dependent biases between Aeolus Level-2B winds and short-term (6 h) forecasts of NOAA’s FV3GFS. The winds for 1–7 September 2019 are examined. Clear speed-dependent biases for both Mie and Rayleigh winds are found, particularly in the tropics and Southern Hemisphere. Use of the TLS correction improves the forecast of the 26–28 November 2019 winter storm over the USA.