Changes in the factors controlling Northeast Asian spring surface air temperature in the past 60 years
ID:117 View Protection:ATTENDEE Updated Time:2022-07-02 06:59:11 Hits:1091 Oral Presentation

Start Time:2022-07-27 17:10(Asia/Shanghai)

Duration:15min

Session:S4 热带与中高纬气候系统相互作用 » S4-1议题4热带与中高纬气候系统相互作用27日下午

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Abstract
Exploring the predictability sources of Northeast Asian spring surface air temperature (NEAST) is of great socioeconomic importance. In the present study, three factors that alternately take control of NEAST during different epochs in the past 60 years are identified. Specifically, NEAST was found to be closely associated with the Arctic Oscillation (AO) in 1961–1994 (E1), the rainfall over the tropical Indian Ocean (RIO) in 1995–2004 (E2), and the tripole pattern of North Atlantic sea surface temperature (NAT) in 2005–2020 (E3). During E1, zonally elongated barotropic cyclonic anomalies associated with the negative phase of the AO led to negative NEAST. During E2, negative diabatic heating related to suppressed RIO stimulated a Rossby wave train propagating from the Arabian Sea to Northeast Asia, resulting in barotropic cyclonic anomalies in the region and negative NEAST. During E3, positive diabatic heating anomalies in the extratropical North Atlantic induced by NAT caused two quasi-barotropic Rossby wave trains over the mid-to-high latitudes of continental Eurasia. The Rossby wave trains both ended with a barotropic cyclonic anomaly over Northeast Asia, leading to negative NEAST. Further analyses show that the rapid decline in Arctic sea-ice cover in the Sea of Okhotsk and Bering Sea in the mid-1990s, weakening of the central Asian westerly jet, and enhancement of NAT-related rainfall anomalies around the mid-2000s, were responsible for the changes in the factors controlling NEAST. A physical-based empirical model constructed using the three identified factors and their precursors nicely reproduced and reforecasted the variation in NEAST, outperforming state-of-the-art dynamical models.
 
Keywords
Speaker
付珊珊
南京信息工程大学

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    Jul 27

    2022

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    Jul 28

    2022

  • Jun 30 2022

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  • Jul 19 2022

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中国气象学会