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Equatorial Rossby waves on Cold Surge Days and their impact on rainfall

Diong, J.-Y., Xavier, P., Woolnough, S. J. ORCID: and Abdullah, F. A. (2023) Equatorial Rossby waves on Cold Surge Days and their impact on rainfall. Quarterly Journal of the Royal Meteorological Society, 149 (754). pp. 2031-2047. ISSN 1477-870X

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To link to this item DOI: 10.1002/qj.4493


This study aims to understand the process that determines the regional rainfall distribution in the equatorial South China Sea (SCS) and its surrounding during the cold surge (CS) days by looking at the different vorticity phases of active Equatorial Rossby (R1) waves and the dynamics of the cold surges related to the R1 wave. The CS can be thought of as an anticyclonic outflow from mid-latitude and behaves like a dispersive group of R1 meridional modes. From the study, it shows the vorticity of the R1 wave arranges itself in such a way that the anticyclonic phase is located to the west and the cyclonic phase is located to the east of the cold CS axis. The CS winds in the equatorial SCS occur early, remain longer, and possess a larger zonal component in the active cyclonic phase compared to the active anticyclonic phase. During the active cyclonic vorticity phase, the rainfall anomalies pattern in the equatorial SCS changes from a ‘tick-mark-like’ pattern to a ‘V-shape’ pattern as a consequence of the westward propagation of the wave. The probability of rainfall increases near the centre of cyclonic vorticity but for anticyclonic vorticity, the probability increases in the southern part of the vorticity centre. There is both increased (decreased) intensity and probability of extreme rainfall events during the active cyclonic (anticyclonic) vorticity phase on CS days. Overall the rainfall anomalies are largely dominated by changes in the intensity on wet days rather than the number of wet days. These changes indicate the roles of the R1 wave vorticity phase in the rainfall distribution during CS days. The timing of enhancement and suppression of rain will provide additional valuable information to help improve forecast extreme weather events.

Item Type:Article
Divisions:Science > School of Mathematical, Physical and Computational Sciences > NCAS
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:112142


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