Decadal predictability of summer precipitation in Northwestern China originated from the North Atlantic Ocean

IF 8.4 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Yuhang Xiang, Juan Li, Bin Wang, Zhiwei Zhu
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Abstract

Northwestern China (NWC) has a monsoon-like, arid and semi-arid climate with considerable decadal variability and long-term trends. Decadal prediction of summer precipitation remains challenging due to the mixed influence of external forcing and internal variability. This study shows that the decadal internal variability of domain-averaged summer precipitation over NWC (NWCP) primarily originates from the extratropical North Atlantic dipole (NAD) sea surface temperature anomalies (SSTA), which excite a Eurasian Rossby wave train by enhancing the transient eddy forcing. The resultant anomalous Mongolian cyclone increases the NWCP through the cyclonic vorticity-generated upward moisture transport. By combining this empirical relationship and dynamical models’ predicted NAD SSTA, we attempted a hybrid dynamic-empirical model to predict the decadal internal variability component. After adding the external forcing component, the model can predict the decadal NWCP 7–10 years in advance. Our result opens a pathway for decadal prediction of precipitation in central Eurasia’s dry regions.

Abstract Image

中国西北地区夏季降水的年代际可预测性来源于北大西洋
西北地区为季风型干旱半干旱气候,具有相当的年代际变化和长期趋势。由于外部强迫和内部变率的混合影响,夏季降水的年代际预测仍然具有挑战性。研究表明,NWCP夏季区域平均降水的年代际内部变率主要来源于温带北大西洋偶极子(NAD)海温异常(SSTA),该海温异常通过增强瞬态涡旋强迫激发欧亚罗斯贝波列。由此产生的蒙古异常气旋通过气旋涡度产生的向上水汽输送增加了西北偏西cp。将这一经验关系与动力模式预测的NAD海温相结合,尝试采用动力-经验混合模式预测年代际内变率分量。在加入外强迫分量后,该模式可以提前7 ~ 10年预测年代际西西cp。我们的研究结果为欧亚大陆中部干旱地区降水的年代际预测开辟了一条途径。
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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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