Abstract
Wave trains propagating across Eurasia at both high and low latitudes in winter are key to the climate variation over East Asia via modulating the cold surge and moisture supply, with different configurations inducing diverse impacts. In this study, the combined impacts of the Eurasian (EU) pattern and South Asian jet wave train (SAJW) at a 10–30-day timescale are compared when they work in phase (indices of same signs) and out of phase (indices of opposite signs). Different configuration is defined by considering whether they induce a concurrent or reversing center of action over East Asia–Japan. The in-phase configuration induces a strong outbreak of the East Asian winter monsoon by intensifying the East Asian trough. In contrast, the out-of-phase configuration restricts the cold air over North China and enhances the moisture supply from the low latitudes by intensifying the India-Burma (now Myanmar) trough and an anomalous anticyclone over East Asia-the western North Pacific, inducing abnormal precipitation over Southwest and North China. In in-phase configuration, the EU pattern and SAJW are excited by abnormal disturbances over the western North Atlantic. The disturbance energy splits over Europe and joins over East Asia, intensifying the East Asian trough concurrently. In out-of-phase configuration, the two teleconnections do not share a common upstream source; they develop individually over the eastern North Atlantic in high and subtropical latitudes. They join north of the Bay of Bengal, resulting in a deepened India-Burma trough and an onward western North Pacific anticyclone anomaly. Both the EU pattern and SAJW influence the East Asian trough and the India-Burma trough in different configurations mainly via the advection of abnormal vorticity along wave trains by the subtropical westerly jet stream, with the anticyclonic Rossby wave source and Beta effect playing a negative role.
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Data Availability
All Japanese 55-year Re-Analysis data used during this study are openly available from the Japan Meteorological Agency at https://doi.org/10.2151/jmsj.2015-001 as cited in Kobayashi et al. (2015) and Harada et al. (2016). The daily CPC Global Unified Precipitation data used in this study are openly available from the NOAA PSL, Boulder, Colorado, USA, from their website at https://psl.noaa.gov as cited in Xie et al. (2007) and Chen et al. (2008).
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Acknowledgements
This work is jointly supported by the National Natural Science Foundation of China (42175019), National Key Research and Development Programs of China (2019YFC1510400), Natural Science Foundation of Guangdong Province (2022A1515011879), Science and Technology Planning Project of Guangdong Province (2023B1212060019), and International Cooperation and Exchange Program of the National Natural Science Foundation of China (42120104001).
Funding
This work was supported by the National Natural Science Foundation of China (42175019), Natural Science Foundation of Guangdong Province (2022A1515011879), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies (2023B1212060019), and International Cooperation and Exchange Program of the National Natural Science Foundation of China (42120104001).
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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Xiuzhen LI, Zhiping WEN and Wen ZHOU. The first draft of the manuscript was written by Xiuzhen LI and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Appendix
See Table 1.
See Fig.
Regression of 10–30-day 200-hPa geopotential height (gpm) based on the principal components of 8 REOF of 200-hPa geopotential height over (30°W–160°E, 45°–80°N). Only the results significant according to 90% confident level are shown. The representative 3 centers of action selected to calculate the EU index are marked as black dots. The explained variances of 8 REOF are shown in the upper right corner
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Li, X., Wen, Z. & Zhou, W. Different configurations of the Eurasian pattern and South Asian jet wave train and their impacts on the winter climate over East Asia. Clim Dyn (2024). https://doi.org/10.1007/s00382-024-07176-4
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DOI: https://doi.org/10.1007/s00382-024-07176-4