@article{246190b874974d709ef8a291091c223f,
title = "The role of equatorial waves in triggering precipitation extremes in the Maritime Continent",
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.",
author = "Beata Latos and Samantha Ferrett and Thierry Lefort and Matthews, {Adrian J.} and Lubis, {Sandro W.} and Senior, {Natasha V.} and Philippe Peyrill{\'e} and Hanh Nguyen and Wheeler, {Matthew C.} and Jeong-Yik Diong and Baranowski, {Dariusz B.} and Flatau, {Maria K.} and Flatau, {Piotr J.} and Ida Pramuwardani and Muhammad, {Fadhlil R.} and Permana, {Donaldi S.} and Ferdiansyah, {Muhamad R.} and Agie Wandala and Kiki and Idhan Abubakar and Tito Praditya and Eddy Hermawan and Jacek Piskozub",
note = "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.",
year = "2026",
month = jan,
day = "6",
language = "English",
journal = "Monthly Weather Review",
issn = "0027-0644",
publisher = "American Meteorological Society",
}