Distinct Impacts of ENSO on Haze Pollution in the Beijing–Tianjin–Hebei Region between Early and Late Winters

Zhao, Wei; Chen, Shangfeng; Zhang, Hengde; Wang, Jikang; Chen, Wen; Wu, Renguang; Xing, Wanqiu; Wang, Zhibiao; Hu, Peng; Piao, Ji-Gang; Ma, Tianjiao

doi:10.1175/jcli-d-21-0459.1

Cited by 33 publications

(41 citation statements)

References 68 publications

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“…As shown in Figure 11a, there is a bulky anticyclonic anomaly at 500 hPa over Northeast Asia, which is accompanied by anomalous southeasterly winds at 850 hPa in the NCP. According to previous studies, wave trains related to El Niño can influence the anticyclonic anomaly over Northeast Asia in early winter An, Wang et al, 2022;Hu et al, 2018;Yu & Sun, 2018, 2020Zhao et al, 2021 which supports our previous view, namely EOF1-related wave train might be induced by the eastern Pacific El Niño. Under the control of this anticyclonic anomaly, the atmospheric boundary layer is shallow and surface convergence is strong (Figure 11c), which are conducive to the accumulation of pollutants and thus lead to higher PM 2.5 concentrations over the NCP (Figure 12e).…”

Section: Different Effects Of High-and Low-latitude Wave Trains On Ai...supporting

confidence: 89%

Possible Dynamic Mechanisms of High‐ and Low‐Latitude Wave Trains Over Eurasia and Their Impacts on Air Pollution Over the North China Plain in Early Winter

Chen

et al. 2022

JGR Atmospheres

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The Rossby wave train in boreal winter sometimes bifurcates into two branches near the Mediterranean, sometimes not. However, causes for bifurcating of the wave train are still being debated. Additionally, discussions about the differences in the deterioration ability of these wave trains on air pollution are also insufficient. This study uses the empirical orthogonal function (EOF) to obtain two dominant modes of the November‐January season wave trains over Eurasia and discusses their different influences on air pollution over the North China Plain (NCP). From the EOF1 mode, bifurcation of the wave train appears to stem from the Rossby wave reflection near the Mediterranean because the Rossby wave source is located outside of a strong absolute vorticity gradient. From the EOF2 mode, the wave train propagates only along the subtropical westerly jet because the Rossby wave source is located inside of a strong absolute vorticity gradient, so that the wave train tends to be refracted near the Mediterranean. In addition, the wave train associated with the EOF1 is suggested to be related to the eastern Pacific El Niño. The eastern Pacific El Niño tends to force a wave train propagating into East Asia under the charger effect from positive feedback of air‐sea coupling near the far eastern Atlantic and Mediterranean, while the wave train associated with the EOF2 is suggested to be mainly induced by natural internal variability. Furthermore, the results indicate that the bifurcation type wave train tends to cause higher PM2.5 concentrations over the NCP through a strengthened Northeast Asia anomalous anticyclone.

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Section: Different Effects Of High-and Low-latitude Wave Trains On Ai...supporting

confidence: 89%

Possible Dynamic Mechanisms of High‐ and Low‐Latitude Wave Trains Over Eurasia and Their Impacts on Air Pollution Over the North China Plain in Early Winter

Chen

et al. 2022

JGR Atmospheres

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“…The early‐winter (December–January) HD positively correlated to the September–October sea ice in the Beaufort Sea (Yin et al ., 2019b); however, the February HD showed a close relationship with the November–January sea ice in the Chukchi Sea (Yin et al ., 2019a). The El Niño–Southern Oscillation (ENSO) had strong impacts on interannual variations in November–December haze pollution over north China, while the impact of ENSO on the January–February haze pollution was weak (Zhao et al ., 2021). Although some studies have considered the subseasonal variation in haze in China, they were still insufficient to the best of our knowledge.…”

Section: Introductionmentioning

confidence: 99%

Evident differences of haze days between December and January in north China and possible relationships with preceding climate factors

Yin

Zhang

et al. 2022

Intl Journal of Climatology

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Air pollution of fine particulate matter (PM 2.5 ) is severe in winter and causes vast premature deaths in north China. Many previous studies have concerned wintermean haze conditions and identified some useful climate factors. However, obvious differences in the number of haze days also existed between December and January (HD J-D ) that lacked of understandings. The HD J-D maximum was 6.6 days, which occurred between December 2005 and January 2006, accounting for more than 45% of the monthly mean number of haze days in these 2 months. Differences of largescale atmospheric circulations were distributed like a Rossby wave pattern in midtroposphere, with centres in the west of Europe (+), the north to the Caspian Sea (−) and north China (+). Associated meteorological conditions in north China

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“…El Niño is usually accompanied by a weakening of the EAWM, which advects warm and moist air to East Asia such as southern China, Japan, and Korea; reversed conditions are observed in the La Niña winters, but with smaller amplitudes (e.g., Kug et al, 2012;Son et al, 2014;Ma et al, 2018a). Air pollution over northern China tends to get worse (lighter) during the El Niño (La Niña) winters due to the weakening (strengthening) of EAWM (An et al, 2022a;An et al, 2022b;Zhao et al, 2022).…”

Section: In Observationsmentioning

confidence: 99%

Recent progress in understanding the interaction between ENSO and the East Asian winter monsoon: A review

Chen

2023

Front. Earth Sci.

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This paper reviews recent advances in understanding the interaction between the East Asian winter monsoon (EAWM) and El Niño-Southern Oscillation (ENSO). The achievements are summarized into two aspects: 1) the impacts of ENSO on the EAWM, and 2) effects of the EAWM on ENSO. For the first aspect, the results show that: the current climate model simulations of ENSO impacts on the EAWM have a common weaker bias than in the observations; The influence of central Pacific type ENSO on the EAWM is generally weaker than that of the eastern Pacific type ENSO; The precipitation anomalies in the tropical Indian Ocean tend to contribute to the intra-seasonal transition of ENSO teleconnection over East Asia; The ENSO-EAWM relationship is unstable and subject to non-linear modulation by the state of oceans and extratropical atmospheric phenomena, which include the Pacific Decadal Oscillation and the Arctic Oscillation. Regarding the second aspect, studies have shown that the “pure” EAWM (denoted as EAWMres), which is independent of the ENSO signal, can lead to significant variations in the tropical convection over the western Pacific, the local Hadley circulation over East Asia, and the Walker circulation over the equatorial latitudes; The CMIP6 models can preproduce the above EAWMres effects well, although with some weaker bias. The changes in tropical convection and extratropical zonal flow associated with the EAWMres tend to have a significant modulating effect on the ENSO atmospheric teleconnection over North America. A strong EAWM and a strong Australian summer monsoon coherently provide favorable conditions for the onset of El Niño.

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Distinct Impacts of ENSO on Haze Pollution in the Beijing–Tianjin–Hebei Region between Early and Late Winters

Cited by 33 publications

References 68 publications

Possible Dynamic Mechanisms of High‐ and Low‐Latitude Wave Trains Over Eurasia and Their Impacts on Air Pollution Over the North China Plain in Early Winter

Possible Dynamic Mechanisms of High‐ and Low‐Latitude Wave Trains Over Eurasia and Their Impacts on Air Pollution Over the North China Plain in Early Winter

Evident differences of haze days between December and January in north China and possible relationships with preceding climate factors

Recent progress in understanding the interaction between ENSO and the East Asian winter monsoon: A review

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