Articles | Volume 3, issue 4
https://doi.org/10.5194/wcd-3-1183-2022
https://doi.org/10.5194/wcd-3-1183-2022
Research article
 | 
27 Oct 2022
Research article |  | 27 Oct 2022

Subseasonal precipitation forecasts of opportunity over central southwest Asia

Melissa L. Breeden, John R. Albers, and Andrew Hoell

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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 egusphere-2022-555', Anonymous Referee #1, 21 Jul 2022
    • AC1: 'Reply on RC1', Melissa Breeden, 21 Sep 2022
  • RC2: 'Comment on egusphere-2022-555', Anonymous Referee #2, 17 Aug 2022
    • AC2: 'Reply on RC2', Melissa Breeden, 21 Sep 2022
  • AC3: 'Comment on egusphere-2022-555', Melissa Breeden, 21 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Melissa Breeden on behalf of the Authors (23 Sep 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (29 Sep 2022) by Daniela Domeisen
RR by Anonymous Referee #1 (04 Oct 2022)
RR by Anonymous Referee #2 (07 Oct 2022)
ED: Publish subject to technical corrections (07 Oct 2022) by Daniela Domeisen
AR by Melissa Breeden on behalf of the Authors (14 Oct 2022)  Author's response   Manuscript 
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Short summary
We use a statistical dynamical model to generate precipitation forecasts for lead times of 2–6 weeks over southwest Asia, which are needed to support humanitarian food distribution. The model signal-to-noise ratio is used to identify a smaller subset of forecasts with particularly high skill, so-called subseasonal forecasts of opportunity (SFOs). Precipitation SFOs are often related to slowly evolving tropical phenomena, namely the El Niño–Southern Oscillation and Madden–Julian Oscillation.