Impact of the Madden–Julian oscillation and equatorial waves on tracked mesoscale convective systems over southeast Asia

Crook, J., Morris, F., Fitzpatrick, R. G. J., Peatman, S. C., Schwendike, J., Stein, T. H. ORCID: https://orcid.org/0000-0002-9215-5397, Birch, C. E., Hardy, S. and Yang, G.-Y. ORCID: https://orcid.org/0000-0001-7450-3477 (2024) Impact of the Madden–Julian oscillation and equatorial waves on tracked mesoscale convective systems over southeast Asia. Quarterly Journal of the Royal Meteorological Society. ISSN 1477-870X doi: 10.1002/qj.4667

Abstract/Summary

Southeast Asia is a region dominated by high-impact weather, but numerical weather prediction here is a challenge owing to the complex orography and interactions between small- and large-scale phenomena. Localised mesoscale convective systems (MCSs) can produce intense precipitation. Here, we track MCSs over a 5-year period in Himawari satellite data, characterise the distribution of MCSs in the region, and investigate how they are modulated by the Madden–Julian oscillation (MJO) and equatorial waves. Between 10°S and 10°N in southeast Asia, MCSs account for 45–70% of the precipitation during boreal extended winter (November–April). Over most of the region, the fractional MCS contribution to rainfall is higher than average on days with extreme rainfall (>55%). Long-lived (>12 hr) MCSs contribute disproportionately, providing 85% of the rainfall despite comprising only 34% of all MCSs. Variability in MCS rainfall accounts for >50% of the total rainfall variability during an MJO cycle, mostly due to larger numbers of MCSs in convectively active MJO phases. Variations in MCS size and mean rain rate due to shifts in the stratiform proportion provide compensating effects. In the west of the region, a shift to faster moving MCSs in active MJO phases and slower moving MCSs in inactive phases resulted in fast-moving MCSs having the greatest impact on the MJO-associated variability. Variability is larger in the west than in the east. Equatorial Kelvin waves modulate MCS rainfall, with MCSs accounting for 20–50% of local rainfall anomalies. This variability is again enhanced in the west. By contrast, rainfall anomalies due to westward-propagating mixed Rossby–gravity waves and Rossby-1 waves are dominated by tropical-cyclone-related rainfall. Skill at local scales may be extracted from forecasts of subseasonal drivers such as the MJO and Kelvin waves, by understanding how these modulate the number and characteristics of MCSs.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/115631
Item Type	Article
Refereed	No
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	Royal Meteorological Society
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