Quantifying the Teleconnections Between East Asian Winter Precipitation and Tropical Sea Surface Temperatures Using Causal Analysis

IF 3.4 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Geophysical Research: Atmospheres Pub Date : 2025-02-28 DOI:10.1029/2024JD042689
Tianjiao Ma, Wen Chen, Xiadong An
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Abstract

It was previously revealed that winter precipitation in East Asia is linked to tropical Sea Surface Temperature (SST) anomalies in the Indian and Pacific Oceans. While several teleconnection pathways have been identified, accurately measuring these connections and determining the relative contributions of SSTs remains a challenge. We employed a novel causal inference approach to quantify the effects of SSTs on East Asian winter precipitation, focusing on its leading mode (denoted as Pr). Using the PCMCI method, we first derived a causal graph between the Pr and SSTs in the tropical eastern/western Pacific and Indian Ocean (denoted as EP, WP, and IO respectively). Based on the causal graph, we then applied a quantitative analysis using Wright's path method. The results indicated that WP-SST had the most substantial impact on the Pr, with a 1 Standard Deviation (SD) increase leading to a 0.24 SD decrease in Pr at a 1-month lag and 0.17 SD decrease at a 2-month lag. The winter monsoon winds and subtropical jet stream are identified as critical mediators of this effect. Additionally, EP-SST had a notable positive influence on the Pr, with a 1 SD warming leading to a 0.12 SD increase in Pr at a 2-month lag, while IO-SST exhibits a minor effect. It is essential to note that, traditional regression analysis indicates that EP-SST explained the largest portion of the Pr variance among the three SSTs, but the causal analysis revealed that WP-SST exerts a more significant role in driving Pr variations, aligning with numerical experiments.

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利用因果分析量化东亚冬季降水与热带海温的遥相关关系
以前的研究表明,东亚冬季降水与印度洋和太平洋的热带海温异常有关。虽然已经确定了几种遥相关通路,但准确测量这些连接并确定海温的相对贡献仍然是一个挑战。我们采用了一种新的因果推理方法来量化海温对东亚冬季降水的影响,重点关注其主导模式(表示为Pr)。利用PCMCI方法,我们首先得到了热带东、西太平洋和印度洋的Pr与海温之间的因果关系图(分别用EP、WP和IO表示)。在因果图的基础上,运用赖特路径法进行定量分析。结果表明,WP-SST对Pr的影响最为显著,每增加1个标准差(Standard Deviation, SD), Pr在滞后1个月时降低0.24 SD,滞后2个月时降低0.17 SD。冬季季风和副热带急流是这一效应的重要媒介。此外,EP-SST对Pr有显著的正向影响,每变暖1 SD, Pr在2个月的滞后时间内增加0.12 SD,而ao - sst对Pr的影响较小。需要注意的是,传统回归分析表明EP-SST对三个海温的Pr方差解释最大,但因果分析显示WP-SST对Pr变化的驱动作用更为显著,与数值实验结果一致。
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来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
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