Subseasonal strength reversal of the East Asian winter monsoon
ID:3320 View Protection:PRIVATE Updated Time:2023-05-03 21:41:31 Hits:1908 Oral Presentation

Start Time:2023-05-08 11:00(Asia/Shanghai)

Duration:10min

Session:13A 13A、大气物理与气象气候 » 13A-313A-3 季节内至年代际气候变异

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Abstract
As one of the most significant circulation systems over the Northern Hemisphere in the cold season, the East Asian winter monsoon (EAWM) has been broadly investigated from the seasonal-mean perspective, while subseasonal variations in the EAWM still remain ambiguous. Based on Season-reliant Empirical Orthogonal Function (S-EOF) analysis, this study shows that the subseasonal strength reversal of the EAWM (SR-EAWM), featuring a weaker (or stronger) EAWM in early winter (December) and a stronger (or weaker) EAWM in late winter (January-February), is a distinct leading mode of the month-to-month variation of the EAWM. The weak-to-strong SR-EAWM is characterized by an anomalous low over Eurasia and a weakened East Asian major trough (EAT) in early winter, with an intensified Siberian High and a deepened EAT in late winter. The SR-EAWM is preceded by surface air temperature anomalies over Davis Strait (DST) and those over central-eastern North America (CENAT) in September-October. The DST mainly influences the SR-EAWM in early winter through a "sea ice bridge" of the November Baffin Bay sea ice concentration anomaly (BBSIC). The BBSIC could intensify the DST in December by altering surface heat flux, thus exciting a downstream atmospheric response and modulating the strength of the EAT in early winter. The CENAT affects the SR-EAWM in late winter by inducing an "ocean bridge" of the western North Atlantic sea surface temperature anomaly (WNASST). The WNASST can persist into late winter and then significantly affects the SR-EAWM by regulating Eurasian circulation anomalies and the downstream EAT. The bridge roles of the BBSIC and WNASST can be further verified by a linear baroclinic model. Finally, two physical-empirical models are established using the DST/BBSIC and the CENAT indices, respectively. Both exhibit promising prediction skills. The results highlight that the DST, BBSIC, and CENAT are crucial predictability sources for the SR-EAWM.
Keywords
East Asian winter monsoon;subseasonal variation;surface air temperature;seasonal prediction
Speaker
钟沃谷
复旦大学

Submission Author
钟沃谷 复旦大学
吴志伟 复旦大学
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Important Date
  • Conference Date

    May 05

    2023

    to

    May 08

    2023

  • Mar 31 2023

    Draft paper submission deadline

  • May 25 2023

    Registration deadline

Sponsored By
青年地学论坛理事会
中国科学院青年创新促进会地学分会
Organized By
武汉大学
中国科学院精密测量科学与技术创新研究院
中国地质大学(武汉)
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