Potential remote forcing of North Atlantic SST tripole anomalies on the seesaw haze intensity between late winter months in the North China plain: A case study

IF 2 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Science Letters Pub Date : 2023-04-26 DOI:10.1002/asl.1170
Jing Wang, Yanju Liu, Yihui Ding
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引用次数: 1

Abstract

This study identified a prominent temporal seesaw haze intensity case that occurred between the late winter months of 2010 in the North China Plain (NCP), featuring considerably suppressed haze intensity in January and enhanced haze intensity in the adjacent month of February in 2011. We suggest that dramatic alternations of atmospheric and oceanic anomalies played fundamental roles in forming this seesaw haze intensity case, rather than changes in manmade emission anomalies. The suppressed haze intensity in January 2011 was tied to an equivalent barotropic cyclonic anomaly that dominated the NCP and its surroundings, which generated in situ haze-suppressed meteorology characterized by strengthened lower-level northerly anomalies with cold and dry conditions, as well as elevated boundary layer height and destabilized atmospheric stratification. In stark contrast, the enhanced haze intensity in February 2011 was connected to an equivalent barotropic anticyclonic anomaly, linking a haze-favourable meteorology opposite to that in January 2011. The pronounced North Atlantic sea surface temperature (SST) tripole anomalies, with positive anomalies in the tropical and mid-latitudinal North Atlantic and negative anomalies in the subtropical North Atlantic, made a significant contribution to the above-mentioned seesaw haze intensity case. Diagnostic analyses suggested that the January North Atlantic SST tripole anomalies were linked to a significant negative North Atlantic Oscillation (NAO)-like pattern, which acted as the source of the Rossby wave train to generate concurrent haze-suppressed meteorology over the NCP. In February, although the NAO-like pattern was drastically dampened, the enhanced barotropic cyclonic anomaly centred southeast of the Yamal Peninsula played a critical role in relaying the impact of January tripole SST anomalies, thus inducing concurrent haze-favourable meteorology. Consequently, January North Atlantic SST tripole anomalies could exert an effective modulation effect on the generation of seesaw haze intensity. The proposed mechanism was further verified using the Community Earth System Model Large Ensemble Numerical Simulation (CESM-LENS) datasets.

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北大西洋海温三极异常对华北平原冬末月间跷跷板霾强度的潜在遥强迫:一个案例研究
本研究发现华北平原在2010年冬末几个月间出现了一个突出的时间跷跷板霾强度案例,其特征是2011年1月雾霾强度明显受到抑制,而相邻的2月雾霾强度则明显增强。我们认为,大气和海洋异常的剧烈变化,而不是人为排放异常的变化,在形成这种跷跷板状的雾霾强度案例中发挥了根本作用。2011年1月雾霾强度的抑制与主导NCP及其周围的等效正压气旋异常有关,该正压气旋异常产生了原位雾霾抑制气象,其特征是低层偏北异常增强、寒冷和干燥条件,以及边界层高度升高和大气分层不稳定。与此形成鲜明对比的是,2011年2月雾霾强度的增强与一个等效的正压反气旋异常有关,与2011年1月的雾霾有利气象相反。北大西洋海温(SST)三极异常显著,热带和中纬度北大西洋正异常,副热带北大西洋负异常,是上述跷跷板霾强度的重要原因。诊断分析表明,1月份北大西洋海温三极子异常与北大西洋涛动(NAO)相似的显著负向模式有关,该模式是罗斯比波列的来源,在NCP上空产生了同步的雾霾抑制气象。在2月份,虽然类似NAO的模式被严重抑制,但以亚马尔半岛东南部为中心的正压气旋异常的增强在传递1月份海温三极子异常的影响方面发挥了关键作用,从而诱发了同时发生的有利于雾霾的气象。因此,1月北大西洋海温三极子异常对跷跷板霾强度的产生具有有效的调制作用。利用社区地球系统模型大集合数值模拟(CESM‐LENS)数据集进一步验证了所提出的机制。
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来源期刊
Atmospheric Science Letters
Atmospheric Science Letters METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
4.90
自引率
3.30%
发文量
73
审稿时长
>12 weeks
期刊介绍: Atmospheric Science Letters (ASL) is a wholly Open Access electronic journal. Its aim is to provide a fully peer reviewed publication route for new shorter contributions in the field of atmospheric and closely related sciences. Through its ability to publish shorter contributions more rapidly than conventional journals, ASL offers a framework that promotes new understanding and creates scientific debate - providing a platform for discussing scientific issues and techniques. We encourage the presentation of multi-disciplinary work and contributions that utilise ideas and techniques from parallel areas. We particularly welcome contributions that maximise the visualisation capabilities offered by a purely on-line journal. ASL welcomes papers in the fields of: Dynamical meteorology; Ocean-atmosphere systems; Climate change, variability and impacts; New or improved observations from instrumentation; Hydrometeorology; Numerical weather prediction; Data assimilation and ensemble forecasting; Physical processes of the atmosphere; Land surface-atmosphere systems.
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