The role of tropical waves in the genesis of Tropical Cyclone Seroja in the Maritime Continent

Latos, Beata, Peyrillé, Philippe, Lefort, Thierry, Baranowski, Dariusz B., Flatau, Maria K., Flatau, Piotr J., Florida Riama, Nelly, Permana, Donaldi S., Rydbeck, Adam V. and Matthews, Adrian J. ORCID: (2023) The role of tropical waves in the genesis of Tropical Cyclone Seroja in the Maritime Continent. Nature Communications, 14. ISSN 2041-1723

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Tropical cyclone Seroja was one of the first tropical cyclones to significantly impact Indonesian land, and the strongest one in such close proximity to Timor Island. In April 2021 Seroja brought historic flooding to near-equatorial regions of Indonesia and East Timor, as well as impacting Western Australia. Here we show that the unusual near-equatorial cyclogenesis in close proximity to a land mass was due to “perfect storm” conditions associated with multiple wave interactions. Specifically, this was associated with enhanced equatorial convection on the leading edge of a Madden–Julian Oscillation (MJO) event. Within the MJO, the interaction between a convectively coupled equatorial Rossby wave and two convectively coupled Kelvin waves span up the initial vortex and accelerated cyclogenesis. On average, such favorable atmospheric conditions can occur once per year. These results indicate the potential for increased predictability of tropical cyclones over the Maritime Continent.

Item Type: Article
Additional Information: Data availability: Tropical cyclone tracks were obtained from NOAA’s International Best Track Archive for Climate Stewardship (IBTrACS) through their web site at The IMERG precipitation data were supplied by the National Aeronautics and Space Administration through their web site Research product of the Himawari L1 Gridded Data (produced from Himawari-8) that was used in this paper was supplied by the P-Tree System, Japan Aerospace Exploration Agency (JAXA). This dataset is available at, after registration at The ERA-5: the fifth generation of ECMWF atmospheric reanalyses of the global climate was obtained from Copernicus Climate Change Service Climate Data Store through their web site at The univariate OLR-based MJO time series indices (OMI) were supplied by the National Oceanic and Atmospheric Administration (NOAA) through their web site at The real-time multivariate MJO (RMM) time series indices were supplied by the Australian Bureau of Meteorology through their web site at Code availability: The MATLAB and Python codes used for processing papers’ data are available through the corresponding author, i. e. Beata Latos ( Funding information: B.L. and D.B.B. were partially funded by The National Science Center (NCN) through project no. 2019/35/B/ST10/03463. B.L. acknowledges support from the NCN project no. 2020/37/N/ST10/03428. M.F. and A.V.R. acknowledge support from ONR DRIs PISTON and MISO-BoB as well as NRL 6.1 base funding. A.J.M. was partially funded by the Natural Environment Research Council through the TerraMaris project (grant NE/R016704/1).
Uncontrolled Keywords: general,physics and astronomy(all),chemistry(all),biochemistry, genetics and molecular biology(all),sdg 13 - climate action ,/dk/atira/pure/subjectarea/asjc/1000
Faculty \ School: Faculty of Science > School of Natural Sciences
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
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 03 Feb 2023 18:30
Last Modified: 20 Mar 2023 08:36
DOI: 10.1038/s41467-023-36498-w


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