An Improved El Nino Index Forecasting Method Based on Parameters Optimization
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-78811-7_43
Reference17 articles.
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4. Pillai, P.A., et al.: How distinct are the two flavors of El Nino in retrospective forecasts of climate forecast system version 2 (CFSv2)? Clim. Dyn. 48(11–12), 3829–3854 (2017)
5. Lambert, S., Marcus, S., De Viron, O.: Atmospheric torques and earth’s rotation: what drove the millisecond-level length-of-day response to the 2015–16 El Nino? Earth Syst. Dyn. Discuss. 8, 1–14 (2017)
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