Abstract
AbstractThe central-eastern tropical Pacific is currently significantly warmer than normal, and the likelihood of a strong El Niño developing by early 2024 is 75–85%, according to the National Weather Service’s Climate Prediction Center. Disruptions in ecosystem services and increased vulnerability, in particular in the coastal zones, are expected in many parts of the world. In this comment, we review the latest seasonal forecasts and showcase the potential for predicting the world’s coastlines based on data-driven modeling.
Publisher
Springer Science and Business Media LLC
Reference38 articles.
1. McPhaden, M. J., Zebiak, S. E. & Glantz, M. H. ENSO as an integrating concept in earth science. Science 314, 1740–1745 (2006).
2. Nobre, G. G., Muis, S., Veldkamp, T. I. & Ward, P. J. Achieving the reduction of disaster risk by better predicting impacts of El Niño and La Niña. Prog. Disaster Sci. 2, 100022 (2019).
3. Guilyardi, E. et al. Understanding El Niño in ocean–atmosphere general circulation models: Progress and challenges. Bull. Am. Meteorol. Soc. 90, 325–40, (2009).
4. L’Heureux, et al. in El Niño Southern Oscillation in a Changing Climate (eds McPhaden, M., Santoso, A., Cai, W.) 253, 377 (American Geophysical Union, 2020).
5. Wang, Y. et al. An improved ENSO ensemble forecasting strategy based on multiple coupled model initialization parameters. J. Adv. Model Earth Syst. 11, 2868–2878 (2019).
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