Issue |
E3S Web Conf.
Volume 599, 2024
6th International Conference on Science and Technology Applications in Climate Change (STACLIM 2024)
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|
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Article Number | 01007 | |
Number of page(s) | 10 | |
Section | Climate, Emission and Pollution | |
DOI | https://doi.org/10.1051/e3sconf/202459901007 | |
Published online | 10 January 2025 |
Spring Intermonsoon Future Projection of El Niño and Its Teleconnection at The Maritime Continent During Warmer Period
Center for Earth Sciences and Environment, Faculty of Science and Technology, National University of Malaysia, Bangi, Selangor, Malaysia
* Corresponding author: ester@ukm.edu.my
Previous research has mainly concentrated on the effects of climate change, with much less emphasis dedicated on the combined effect of climate change and climate variability. CMIP6 GFDL-ESM4 was chosen as the best General Circulation Model (GCM) in promoting the ability to simulate El Niño and its teleconnection at the Maritime Continent for March-April-May (MAM) after evaluating 32 GCMs from CMIP5/6. In general, CMIP6 was better at simulating El Niño and its teleconnection at the Maritime Continent than CMIP5. The increase in sea surface temperature in the Pacific Ocean, particularly in the Niño 3.4 region, was documented as higher in SSP5-85 than in SSP2-45. Peninsular Malaysia, the southern half of Borneo, and the Philippines will see more dryness as the temperature warms. SSP2-45 during MAM showed more coverage of dryness receiving in the eastern half of Borneo compared to SSP5-85 during the El Niño period. Through the combination of climate change and climate variability influence, SSP5-85 depicted a higher increment of sea surface temperature compared to historical, which could reach about 5 °C positive warmer changes at the centre of the Pacific Ocean region. SSP2-45 and SSP5-85 depicted warmer conditions for precipitation in Peninsular Malaysia and the Northeast part of Borneo.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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