The role of equatorial waves in triggering precipitation extremes in the Maritime Continent

Latos, Beata, Ferrett, Samantha, Lefort, Thierry, Matthews, Adrian J., Lubis, Sandro W., Senior, Natasha V., Peyrillé, Philippe, Nguyen, Hanh, Wheeler, Matthew C., Diong, Jeong-Yik, Baranowski, Dariusz B., Flatau, Maria K., Flatau, Piotr J., Pramuwardani, Ida, Muhammad, Fadhlil R., Permana, Donaldi S., Ferdiansyah, Muhamad R., Wandala, Agie, Kiki, Abubakar, Idhan, Praditya, Tito, Hermawan, Eddy and Piskozub, Jacek (2026) The role of equatorial waves in triggering precipitation extremes in the Maritime Continent. Monthly Weather Review. ISSN 0027-0644 (In Press)

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Abstract

This review offers a comprehensive analysis of convectively coupled equatorial waves (CCEWs) and their pivotal role in driving precipitation extremes across the Maritime Continent. It examines the current understanding of CCEWs, evaluates the performance of numerical models and forecasting techniques in predicting these phenomena, and pinpoints critical areas for improvement. The discussion centers on three key types of equatorial waves: equatorial Rossby waves, Kelvin waves, and mixed Rossby–gravity waves. By connecting scientific insights with practical forecasting applications, the review sheds light on the challenges of predicting these waves while identifying opportunities to advance both fundamental knowledge and forecasting accuracy. Designed as an educational resource, it targets operational forecasting centers, meteorologists, and researchers, aiming to enhance the prediction of extreme weather events in the region.

Item Type:	Article
Additional Information:	Availability Statement: GPM-IMERG precipitation data were supplied by the National Aeronautics and Space Administration through their website at https://gpm.nasa.gov/. ERA5 and ERA-Interim data were accessed from the Copernicus climate data store (CDS) at https://cds.climate.copernicus.eu/ (doi:10.24381/cds/bd0915c6). MetUM forecast data used in this study may be supplied upon request from the corresponding author. Data availability of other NWP models used in this study are outlined in Table. 1 and can be obtained from the S2S and TIGGE databases. CCKW trajectories are available at https://github.com/adrianjmatthews/CCKW database. The analysis was conducted using custom scripts developed in Python, which are available upon request from the corresponding author.
Faculty \ School:	Faculty of Science > School of Environmental Sciences University of East Anglia Research Groups/Centres > Theme - ClimateUEA
UEA Research Groups:	Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences Faculty of Science > Research Groups > Climatic Research Unit University of East Anglia Schools > Faculty of Science > Tyndall Centre for Climate Change Research Faculty of Science > Research Centres > Tyndall Centre for Climate Change Research
Depositing User:	LivePure Connector
Date Deposited:	07 Jan 2026 17:30
Last Modified:	07 Jan 2026 17:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/101564
DOI:	issn:0027-0644

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