Graphical Abstract

Xin, X., M. Wei, Q. Li, W. Zhou, Y. Luo, and Z. Zhao, 2019: Decadal prediction skill of BCC-CSM1.1 with different initialization strategies. J. Meteor. Soc. Japan, 97, https://doi.org/10.2151/jmsj.2019-043.
Early Online ReleaseGraphical Abstract with highlights

Plain Language Summary: Two sets of decadal prediction experiments were performed with BCC-CSM1.1 with the ocean temperature relaxed toward SODA reanalysis data (SODAInit) and the ocean temperature data generated with EnOI method (EnOI_HadInit), respectively. EnOI_HadInit is shown to be more skillful than SODAInit in predicting SST over the North Pacific, the southern Indian Ocean, and the North Atlantic. Improved prediction skill of surface air temperature is found over South Europe, North Africa, and Greenland associated with the skillful prediction of the Atlantic multi-decadal oscillation (AMO) in EnOI_HadInit.

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