热带太平洋年代际变化的可预测性主要由海洋罗斯比波控制

IF 8.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES npj Climate and Atmospheric Science Pub Date : 2024-11-30 DOI:10.1038/s41612-024-00851-7
Xian Wu, Stephen G. Yeager, Clara Deser, Antonietta Capotondi, Andrew T. Wittenberg, Michael J. McPhaden
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引用次数: 0

摘要

尽管热带太平洋年代际变率具有显著的全球影响,但由于模式的缺陷和对其潜在机制的了解有限,目前的气候模式对热带太平洋年代际变率(TPDV)的预测很差。利用观测资料和包括年代际预测在内的模式模拟层次,我们发现热带太平洋由海洋罗斯比波驱动的年代际等平深度变率是TPDV最重要的可预测性来源。在整个年代际预报过程中,热带海洋-大气耦合和太平洋副热带单体强度的变化进一步增强了由初始等压线深度条件产生的可预测性。区域初始化实验有效地隔离了不同海洋盆地对TPDV可预测性的影响,突出了热带太平洋的重要作用。这项研究增强了我们对TPDV可预测性机制的理解,为提高年代际预测的准确性提供了重要见解。
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Predictability of tropical Pacific decadal variability is dominated by oceanic Rossby waves
Despite its pronounced global impacts, tropical Pacific decadal variability (TPDV) is poorly predicted by current climate models due to model deficiencies and a limited understanding of its underlying mechanisms. Using observational data and a hierarchy of model simulations including decadal hindcasts, we find that decadal isopycnal depth variability driven by oceanic Rossby waves in the tropical Pacific provides the most important source of predictability for TPDV. The predictability arising from initial isopycnal depth conditions is further amplified by tropical ocean-atmosphere coupling and variations in the strength of subtropical cells in the Pacific throughout the decadal forecasts. Regional initialization experiments that effectively isolate the impact of different ocean basins on TPDV predictability highlight the essential role of the tropical Pacific. This study enhances our understanding of the mechanisms governing TPDV predictability, offering crucial insights for improving the accuracy of decadal predictions.
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来源期刊
npj Climate and Atmospheric Science
npj Climate and Atmospheric Science Earth and Planetary Sciences-Atmospheric Science
CiteScore
8.80
自引率
3.30%
发文量
87
审稿时长
21 weeks
期刊介绍: npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols. The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.
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