Preprints
https://doi.org/10.5194/egusphere-2022-555
https://doi.org/10.5194/egusphere-2022-555
12 Jul 2022
 | 12 Jul 2022

Subseasonal precipitation forecasts of opportunity over southwest Asia

Melissa Leah Breeden, John Robert Albers, and Andrew Hoell

Abstract. Subseasonal forecasts of opportunity (SFOs) for precipitation over southwest Asia during January–March at lead times of 3–6 weeks are identified using elevated expected forecast skill from a Linear Inverse Model (LIM), an empirical dynamical model that uses statistical relationships to infer the predictable dynamics of a system. The expected forecast skill from this LIM, which is based on the atmospheric circulation, tropical outgoing longwave radiation and sea surface temperatures, captures the predictability associated with many relevant signals as opposed to just one. Two modes of variability, El Niño-Southern Oscillation (ENSO) and the Madden Julian Oscillation (MJO), which themselves are predictable because of their slow variations, are related to southwest Asia precipitation SFOs. Strong El Nino events, as observed in 1983, 1998, and 2016, significantly increase the likelihood by up to threefold of an SFO 3–4 and 5–6 weeks in advance. Strong La Nina events, as observed in 1989, 1999, 2000, also significantly increased the likelihood of an SFO at those same lead times. High amplitude MJO events in phases 2–4 and 6–8 of greater than one standardized departure also significantly increases the likelihood of an SFO 3–4 weeks in advance. Predictable atmospheric circulation patterns preceding anomalously wet periods indicate a role for anomalous tropical convection in the SPCZ region, while suppressed convection is observed preceding predictable dry periods. Anomalous heating in this region is found to distinguish wet and dry periods during both El Niño and La Niña conditions, although the atmospheric circulation response to the heating differs between each ENSO phase.

Journal article(s) based on this preprint

27 Oct 2022
Subseasonal precipitation forecasts of opportunity over central southwest Asia
Melissa L. Breeden, John R. Albers, and Andrew Hoell
Weather Clim. Dynam., 3, 1183–1197, https://doi.org/10.5194/wcd-3-1183-2022,https://doi.org/10.5194/wcd-3-1183-2022, 2022
Short summary

Melissa Leah Breeden et al.

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

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 

Journal article(s) based on this preprint

27 Oct 2022
Subseasonal precipitation forecasts of opportunity over central southwest Asia
Melissa L. Breeden, John R. Albers, and Andrew Hoell
Weather Clim. Dynam., 3, 1183–1197, https://doi.org/10.5194/wcd-3-1183-2022,https://doi.org/10.5194/wcd-3-1183-2022, 2022
Short summary

Melissa Leah Breeden et al.

Melissa Leah Breeden et al.

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
We use a statistical model to generate precipitation forecasts at lead times of 2–6 weeks over southwest Asia, needed to support humanitarian food distribution. 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 over southwest Asia are often related to slowly evolving tropical phenomena, namely the El Niño-Southern Oscillation and Madden-Julian Oscillation.