the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Subseasonal precipitation forecasts of opportunity over southwest Asia
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.
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Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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Preprint
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Supplement
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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.
- Preprint
(2604 KB) - Metadata XML
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Supplement
(392 KB) - BibTeX
- EndNote
- Final revised paper
Journal article(s) based on this preprint
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2022-555', Anonymous Referee #1, 21 Jul 2022
- AC1: 'Reply on RC1', Melissa Breeden, 21 Sep 2022
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RC2: 'Comment on egusphere-2022-555', Anonymous Referee #2, 17 Aug 2022
Subseasonal precipitation forecasts of opportunity over southwest Asia
By Melissa Leah Breeden et al.
General comments
The authors investigate sub-seasonal forecasts of opportunity for precipitation over southwest Asia using expected forecast skill from a Linear Inverse Model, in addition to assessing forecast skill at lead times beyond two weeks associated with potential sources of predictability, such as ENSO and the MJO.
The text is well written and discussed, demonstrating the contribution of this work to previous research and comparing its results with other authors. The applied methodology is clear and well-founded. This reviewer's opinion is favourable to the publication of this article, and only minor revisions are requested.
Specific comments
L19. South Pacific Convergence Zone (SPCZ)
L57. The European Centre for Medium-Range Weather Forecasts (ECMWF) - Integrated Forecasting System (IFS)
L59. North Atlantic Oscillation (NAO)
L78-L79. 2mT, OLR, and SST already defined in L64
L80. Climate Hazards InfraRed Precipitation with Stations (CHIRPS; Funk et al. 2015)
L82-L83. Suggest including “(Trenberth, 1997; Trenberth and Stepaniak, 2001)” when defining the Niño 3.4 index.
Trenberth, K.E. (1997) The definition of El Niño. Bulletin of the American Meteorological Society 78(12):2771–2778. https://doi.org/10.1175/1520-0477(1997)078<2771:TDOENO>2.0.CO;2
Trenberth, K.E. and Stepaniak, D.P. (2001) Indices of El Niño evolution. J. Clim. 14(8):1697–1701. https://doi.org/10.1175/1520-0442(2001)014<1697:LIOENO>2.0.CO;2
L283-L284. 18 days is also the timescale when the full atmospheric response to tropical diabatic heating anomalies is seen (Jin and Hoskins (1995)). Suggest including such information.
Jin and Hoskins (1995). The Direct Response to Tropical Heating in a Baroclinic Atmosphere, https://doi.org/10.1175/1520-0469(1995)052<0307:TDRTTH>2.0.CO;2
L290-L293. Wonder whether using the zonally asymmetric stream function component (i.e., zonal mean removed) can better represent the atmospheric circulation response to tropical diabatic heating anomalies. Suggest replicating such an evaluation using stream function anomalies without its zonal mean (same as for section 3.2.2)
L293-L296. A dry linear baroclinic model could be a useful tool to assess the contribution of tropical heating anomalies over the Indian Ocean and West Pacific in modulating the atmospheric circulation response to southwest Asia (suggest including such an evaluation as potential future assessments).
I am also interested in seeing the global regression pattern between precipitation anomalies in southwest Asia and OLR/stream function anomalies considering the entire period. This would provide the overall lead/lag observed relationships, supporting the composite results.
Fig. 9. Hard to see the SST contours (L623. Add “c” after red/blue).
L319. Change “anoamlies” with “anomalies”
L340. Suggest including additional information here, such as: Moreover, using a dry linear baroclinic model provides the reader with a deep understanding of the role played by the basic state and thermal forcing in producing the circulation anomalies under different ENSO conditions.
Citation: https://doi.org/10.5194/egusphere-2022-555-RC2 - AC2: 'Reply on RC2', Melissa Breeden, 21 Sep 2022
- AC3: 'Comment on egusphere-2022-555', Melissa Breeden, 21 Sep 2022
Interactive discussion
Status: closed
-
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
Subseasonal precipitation forecasts of opportunity over southwest Asia
By Melissa Leah Breeden et al.
General comments
The authors investigate sub-seasonal forecasts of opportunity for precipitation over southwest Asia using expected forecast skill from a Linear Inverse Model, in addition to assessing forecast skill at lead times beyond two weeks associated with potential sources of predictability, such as ENSO and the MJO.
The text is well written and discussed, demonstrating the contribution of this work to previous research and comparing its results with other authors. The applied methodology is clear and well-founded. This reviewer's opinion is favourable to the publication of this article, and only minor revisions are requested.
Specific comments
L19. South Pacific Convergence Zone (SPCZ)
L57. The European Centre for Medium-Range Weather Forecasts (ECMWF) - Integrated Forecasting System (IFS)
L59. North Atlantic Oscillation (NAO)
L78-L79. 2mT, OLR, and SST already defined in L64
L80. Climate Hazards InfraRed Precipitation with Stations (CHIRPS; Funk et al. 2015)
L82-L83. Suggest including “(Trenberth, 1997; Trenberth and Stepaniak, 2001)” when defining the Niño 3.4 index.
Trenberth, K.E. (1997) The definition of El Niño. Bulletin of the American Meteorological Society 78(12):2771–2778. https://doi.org/10.1175/1520-0477(1997)078<2771:TDOENO>2.0.CO;2
Trenberth, K.E. and Stepaniak, D.P. (2001) Indices of El Niño evolution. J. Clim. 14(8):1697–1701. https://doi.org/10.1175/1520-0442(2001)014<1697:LIOENO>2.0.CO;2
L283-L284. 18 days is also the timescale when the full atmospheric response to tropical diabatic heating anomalies is seen (Jin and Hoskins (1995)). Suggest including such information.
Jin and Hoskins (1995). The Direct Response to Tropical Heating in a Baroclinic Atmosphere, https://doi.org/10.1175/1520-0469(1995)052<0307:TDRTTH>2.0.CO;2
L290-L293. Wonder whether using the zonally asymmetric stream function component (i.e., zonal mean removed) can better represent the atmospheric circulation response to tropical diabatic heating anomalies. Suggest replicating such an evaluation using stream function anomalies without its zonal mean (same as for section 3.2.2)
L293-L296. A dry linear baroclinic model could be a useful tool to assess the contribution of tropical heating anomalies over the Indian Ocean and West Pacific in modulating the atmospheric circulation response to southwest Asia (suggest including such an evaluation as potential future assessments).
I am also interested in seeing the global regression pattern between precipitation anomalies in southwest Asia and OLR/stream function anomalies considering the entire period. This would provide the overall lead/lag observed relationships, supporting the composite results.
Fig. 9. Hard to see the SST contours (L623. Add “c” after red/blue).
L319. Change “anoamlies” with “anomalies”
L340. Suggest including additional information here, such as: Moreover, using a dry linear baroclinic model provides the reader with a deep understanding of the role played by the basic state and thermal forcing in producing the circulation anomalies under different ENSO conditions.
Citation: https://doi.org/10.5194/egusphere-2022-555-RC2 - AC2: 'Reply on RC2', Melissa Breeden, 21 Sep 2022
- AC3: 'Comment on egusphere-2022-555', Melissa Breeden, 21 Sep 2022
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Melissa Leah Breeden
John Robert Albers
Andrew Hoell
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(2604 KB) - Metadata XML
-
Supplement
(392 KB) - BibTeX
- EndNote
- Final revised paper