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DOI10.1016/j.ocemod.2024.102361
Seasonal predictability of SST anomalies and marine heatwaves over the Kuroshio extension region in the Copernicus C3S models
发表日期2024
ISSN1463-5003
EISSN1463-5011
起始页码189
卷号189
英文摘要The warm sea surface temperature anomalies (SSTAs) and marine heatwaves (MHWs) in the Kuroshio Extension (KE) region have profound impacts on local and surrounding ecological and climatic systems. This study evaluates the seasonal prediction skills of KE-SSTAs and KE-MHWs based on six dynamical models from the Copernicus Climate Change Service (C3S) using different observational datasets for verification and further investigates the main sources of predictability. The results show that current dynamical models can provide reliable predictions for KE-SSTAs for up to about 4 months, but they are challenging to accurately predict the occurrence of KE-MHWs. Compared with single models, the C3S multi-model ensemble mean is usually more skillful in predicting KE-SSTAs and KE-MHWs at most lead times. With lead time increasing, the dynamical models tend to underestimate the mean intensity and annual frequency of the KE-MHWs and overestimate their mean duration. The performance of models in predicting KE-SSTAs is largely dependent on their ability to predict the Pacific Decadal Oscillation, Interdecadal Pacific Oscillation, and El Nin o - Southern Oscillation which all significantly influence the KE-SSTAs. The results indicate that these three climate modes are the main sources of seasonal predictability for KE-SSTAs and KE-MHWs. These results provide a deeper understanding of the dynamical seasonal predictability of SSTAs and MHWs in the KE region.
英文关键词Sea surface temperature; Marine heatwaves; Kuroshio extension; C3S models; Seasonal predictability
语种英语
WOS研究方向Meteorology & Atmospheric Sciences ; Oceanography
WOS类目Meteorology & Atmospheric Sciences ; Oceanography
WOS记录号WOS:001217954800001
来源期刊OCEAN MODELLING
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/298443
作者单位China University of Geosciences; China Meteorological Administration; Chinese Academy of Meteorological Sciences (CAMS); China Meteorological Administration; Chinese Academy of Meteorological Sciences (CAMS)
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. Seasonal predictability of SST anomalies and marine heatwaves over the Kuroshio extension region in the Copernicus C3S models[J],2024,189.
APA (2024).Seasonal predictability of SST anomalies and marine heatwaves over the Kuroshio extension region in the Copernicus C3S models.OCEAN MODELLING,189.
MLA "Seasonal predictability of SST anomalies and marine heatwaves over the Kuroshio extension region in the Copernicus C3S models".OCEAN MODELLING 189(2024).
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