2022
DOI: 10.1002/asl.1148
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Importance of Madden–Julian oscillation phase to the interannual variability of East African rainfall

Abstract: Precipitation across East Africa shows marked interannual variability. Seasonal forecast skill for the OND short rains is significantly higher than for the MAM long rains, which also exhibit poorly understood decadal variability. On sub-seasonal time-scales rainfall is influenced strongly by the phase of the Madden-Julian Oscillation (MJO); here we investigate whether this influence extends to interannual and decadal scales. We show that the number of days that the MJO is active and in phases 1-3 has a greater… Show more

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Cited by 8 publications
(12 citation statements)
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“…As discussed by Maybee et al. (2022), phases 1‐to‐4 are associated with enhanced East African MAM rainfall. In 2018, as discussed in Kilavi et al.…”
Section: Resultsmentioning
confidence: 81%
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“…As discussed by Maybee et al. (2022), phases 1‐to‐4 are associated with enhanced East African MAM rainfall. In 2018, as discussed in Kilavi et al.…”
Section: Resultsmentioning
confidence: 81%
“…The various regions of deep convection (or "phases") are identified with values from 1 to 8. As discussed byMaybee et al (2022), phases 1-to-4 are associated with enhanced East African MAM rainfall. In 2018, as discussed inKilavi et al (2018), MJO activity in phases 2, 3, and 4 combined with shorter term influences associated with tropical cyclones over the southwestern Indian Ocean to drive "an anomalous westerly low-level circulation over Kenya and the surrounding region", supporting enhanced moisture convergence and extreme rains.Through mid-May 2023 MJO index values also indicate enhanced MJO activity in March, April and early May (Figure S1b in Supporting Information S1).…”
mentioning
confidence: 90%
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“…In summary, we propose that accurate model representation of the U700C links to the Indo‐Pacific and Atlantic regions offers the prospect of much improved forecast skill for MAM EA rainfall. These linkages are a priority for further assessment in current models, including their interplay with intraseasonal variability via the Madden‐Julian Oscillation (e.g., Maybee et al, 2023; Vellinga & Milton, 2018). The work here also encourages further investigation of physically‐informed recalibration of current forecasts.…”
Section: Concluding Discussionmentioning
confidence: 99%
“…representation in models can affect the accuracy (e.g., Funk et al, 2019;Gudoshava and Semazzi, 2019;Wainwright et al, 2019Wainwright et al, , 2021aKolstad et al, 2021;Lyon and DeWitt, 2012;Nicholson, 2014;Vellinga and Milton, 2018;Gudoshava et al, 2022b;Liu et al, 2022;Maybee et al, 2023;Mwanthi et al, 2023;Palmer et al, 2023).…”
Section: Figurementioning
confidence: 99%