Articles | Volume 21, issue 24
https://doi.org/10.5194/acp-21-18573-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-18573-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Linkages between the atmospheric transmission originating from the North Atlantic Oscillation and persistent winter haze over Beijing
Muyuan Li
Public Meteorological Service Center, China Meteorological Administration, Beijing, 100081, China
Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
University of Chinese Academy of Sciences, Beijing 100049, China
Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
University of Chinese Academy of Sciences, Beijing 100049, China
Ian Simmonds
School of Geography, Earth and Atmospheric Sciences, University of Melbourne, Parkville, Victoria, 3010, Australia
Dehai Luo
Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
University of Chinese Academy of Sciences, Beijing 100049, China
Linhao Zhong
National Institute of Natural Hazards, Ministry of Emergency Management of China, 100085, Beijing, China
Institute of Urban Meteorology, China Meteorological Administration, Beijing, 100089, China
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Bin Shi, Dehai Luo, and Wenqi Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2024-2747, https://doi.org/10.5194/egusphere-2024-2747, 2024
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In this paper, our main focus is on studying the optimal disturbances of the initial blocking amplitude and preexisting synoptic-scale eddies, as well as the influence of the westerly wind. This study utilizes the 1-dimensional forced NLS equation that specifically considers the zonal direction.
Shipra Jain, Ruth M. Doherty, David Sexton, Steven Turnock, Chaofan Li, Zixuan Jia, Zongbo Shi, and Lin Pei
Atmos. Chem. Phys., 22, 7443–7460, https://doi.org/10.5194/acp-22-7443-2022, https://doi.org/10.5194/acp-22-7443-2022, 2022
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We provide a range of future projections of winter haze and clear conditions over the North China Plain (NCP) using multiple simulations from a climate model for the high-emission scenario (RCP8.5). The frequency of haze conducive weather is likely to increase whereas the frequency of clear weather is likely to decrease in future. The total number of hazy days for a given winter can be as much as ˜3.5 times higher than the number of clear days over the NCP.
Lilong Zhou, Jinming Feng, Lijuan Hua, and Linhao Zhong
Geosci. Model Dev., 13, 581–595, https://doi.org/10.5194/gmd-13-581-2020, https://doi.org/10.5194/gmd-13-581-2020, 2020
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Atmospheric simulation should obey the physical conservation law: in a closed atmospheric system, some of the invariants should be conserved, i.e. the total mass, total energy, total absolute vorticity and so on. In this paper, we have improved the conservative properties of the atmospheric model which is based on an arbitrarily structured C-grid. The tests show that better conservative properties bring us less simulation error, and the stability of model is also improved.
Lin Pei, Zhongwei Yan, Zhaobin Sun, Shiguang Miao, and Yao Yao
Atmos. Chem. Phys., 18, 3173–3183, https://doi.org/10.5194/acp-18-3173-2018, https://doi.org/10.5194/acp-18-3173-2018, 2018
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This paper demonstrates the increasing frequency of persistent haze events (PHE) in Beijing based on updated observations and explores the associated changes in large-scale atmospheric circulations with possible links to the large-scale warming trend. We propose a more concrete observation-based mechanism for explaining how the local PHE in Beijing change with large-scale climate warming via the sea surface temperature anomaly in the northwestern Pacific.
Related subject area
Subject: Dynamics | Research Activity: Laboratory Studies | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Three dominant synoptic atmospheric circulation patterns influencing severe winter haze in eastern China
Impact of turbulence on aeolian particle entrainment: results from wind-tunnel experiments
Comparison of the influence of two types of cold surge on haze dispersion in eastern China
Water vapor anomaly over the tropical western Pacific in El Niño winters from radiosonde and satellite observations and ERA5 reanalysis data
Characteristics of the summer atmospheric boundary layer height over the Tibetan Plateau and influential factors
The relationship between anticyclonic anomalies in northeastern Asia and severe haze in the Beijing–Tianjin–Hebei region
Response of early winter haze in the North China Plain to autumn Beaufort sea ice
Understanding severe winter haze events in the North China Plain in 2014: roles of climate anomalies
Understanding the recent trend of haze pollution in eastern China: roles of climate change
Impacts of the mountain–plains solenoid and cold pool dynamics on the diurnal variation of warm-season precipitation over northern China
Shiyue Zhang, Gang Zeng, Tijian Wang, Xiaoye Yang, and Vedaste Iyakaremye
Atmos. Chem. Phys., 22, 16017–16030, https://doi.org/10.5194/acp-22-16017-2022, https://doi.org/10.5194/acp-22-16017-2022, 2022
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Severe haze days in eastern China (HDEC) are affected by the atmospheric circulation variations on a synoptic scale, while the dominant atmospheric circulation patterns influencing HDEC and the differences between them are still unclear. This study obtains three dominant circulation types that could lead to severe HDEC and investigates the differences between them. The results provide a basis for establishing applicable haze prediction and management policies.
Jie Zhang, Guang Li, Li Shi, Ning Huang, and Yaping Shao
Atmos. Chem. Phys., 22, 9525–9535, https://doi.org/10.5194/acp-22-9525-2022, https://doi.org/10.5194/acp-22-9525-2022, 2022
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Sand and dust emission are usually investigated by wind-tunnel experiments. However, wind-tunnel flows are usually neutrally stratified without large eddies, which typically develop in the convective atmospheric boundary layer. Here we proposed a novel technique by deploying a piece of randomly fluttering cloth in a wind tunnel to generate the large eddies and found them to enhance the entrainment of sand and dust particles, which explains why large eddies are important to aeolian entrainment.
Shiyue Zhang, Gang Zeng, Xiaoye Yang, Ruixi Wu, and Zhicong Yin
Atmos. Chem. Phys., 21, 15185–15197, https://doi.org/10.5194/acp-21-15185-2021, https://doi.org/10.5194/acp-21-15185-2021, 2021
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This study classified the winter cold surge in eastern China into blocking cold surge and wave-train cold surge and investigated the difference of haze dispersion ability between the two types. The results show that the haze dispersion of blocking cold surge is weaker than that of wave-train cold surge. In the past 4 decades, the frequency of wave-train (blocking) cold surge shows a downward (upward) trend, which means that the ability of cold surge to disperse haze is declining.
Minkang Du, Kaiming Huang, Shaodong Zhang, Chunming Huang, Yun Gong, and Fan Yi
Atmos. Chem. Phys., 21, 13553–13569, https://doi.org/10.5194/acp-21-13553-2021, https://doi.org/10.5194/acp-21-13553-2021, 2021
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El Niño has an important influence on climate systems. There are obviously negative water vapor anomalies from radiosonde observations in the tropical western Pacific during El Niño. The tropical Hadley, Walker, and monsoon circulation variations are revealed to play different roles in the observed water vapor anomaly in different types of El Niños. The Walker (monsoon) circulation anomaly made a major contribution in the 2015/16 (2009/10) strong eastern Pacific (central Pacific) El Niño event.
Junhui Che and Ping Zhao
Atmos. Chem. Phys., 21, 5253–5268, https://doi.org/10.5194/acp-21-5253-2021, https://doi.org/10.5194/acp-21-5253-2021, 2021
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The importance of the atmospheric boundary layer (ABL) is recognized, but little is known about the Tibetan Plateau (TP) ABL due to the scarce data. Based on new observations from the Third Tibetan Plateau Atmospheric Scientific Experiment, we reveal a big drop in the ABL height from the west to the east of the TP for the first time, which is more remarkable than in the United States and all of China. This steep inhomogeneity in the TP is due to the difference in local climate and environment.
Wogu Zhong, Zhicong Yin, and Huijun Wang
Atmos. Chem. Phys., 19, 5941–5957, https://doi.org/10.5194/acp-19-5941-2019, https://doi.org/10.5194/acp-19-5941-2019, 2019
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Haze pollution in the Beijing–Tianjin–Hebei region has become increasingly more severe and persistent in recent years.This research focused on severe haze during 2014–2016 and examined the impacts of the anticyclonic anomalies over northeastern Asia. The advance and retreat of anticyclonic anomalies over northeastern Asia (AANA) corresponded with the emergence and dissipation of severe haze, illustrating that AANA could be effective forecast indicators for air quality.
Zhicong Yin, Yuyan Li, and Huijun Wang
Atmos. Chem. Phys., 19, 1439–1453, https://doi.org/10.5194/acp-19-1439-2019, https://doi.org/10.5194/acp-19-1439-2019, 2019
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Recently, haze pollution in the North China has been serious and disastrous. The preceding heavy autumn sea ice intensified the early winter haze pollution over North China. The results provide possibilities for the seasonal to interannual prediction of haze pollution that helps to determine whether extra stringent emission control measures are needed to counteract the effect of climate variability.
Zhicong Yin, Huijun Wang, and Huopo Chen
Atmos. Chem. Phys., 17, 1641–1651, https://doi.org/10.5194/acp-17-1641-2017, https://doi.org/10.5194/acp-17-1641-2017, 2017
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The number of winter haze days over the north-central North China Plain in 2014 was largest in the past 30 years. With the anticyclone circulation over North China taken as an intermediate, the positive phases of the east Atlantic/west Russia, western Pacific, and Eurasian patterns led to a larger number of haze days in 2014. The related external forcing included preceding autumn Arctic sea ice, winter and pre-autumn surface temperature, and pre-autumn sea surface temperature in the Pacific.
Hui-Jun Wang and Huo-Po Chen
Atmos. Chem. Phys., 16, 4205–4211, https://doi.org/10.5194/acp-16-4205-2016, https://doi.org/10.5194/acp-16-4205-2016, 2016
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The variability of the autumn Arctic sea ice extent, local precipitation and surface wind during winter is most influential to the haze pollution change in eastern China. The joint effect of fast increase of total energy consumption, rapid decline of Arctic sea ice extent and reduced precipitation and surface winds intensified the haze pollution in central North China after 2000. There is similar conclusion for haze pollution in eastern South China after 2000.
Xinghua Bao and Fuqing Zhang
Atmos. Chem. Phys., 13, 6965–6982, https://doi.org/10.5194/acp-13-6965-2013, https://doi.org/10.5194/acp-13-6965-2013, 2013
Cited articles
Ambrizzi, T., Hoskins, B. J., and Hsu, H. H.:
Rossby-wave propagation and teleconnection patterns in the austral winter,
J. Atmos. Sci.,
52, 3661–3672, https://doi.org/10.1175/1520-0469(1995)052<3661:rwpatp>2.0.co;2, 1995.
An, Z., Huang, R. J., Zhang, R., Tie, X., Li, G., Cao, J., Zhou, W., Shi, Z., Han, Y., Gu, Z., and Ji, Y.:
Severe haze in northern China: A synergy of anthropogenic emissions and atmospheric processes,
P. Natl. Acad. Sci. USA,
116, 8657–8666, https://doi.org/10.1073/pnas.1900125116, 2019.
Athanasiadis, P. J., Wallace, J. M., and Wettstein, J. J.:
Patterns of wintertime jet stream variability and their relation to the storm tracks,
J. Atmos. Sci.,
67, 1361–1381, https://doi.org/10.1175/2009jas3270.1, 2010.
Barnston, A. G. and Livezey, R. E.:
Classification, seasonality and persistence of low-frequency atmospheric circulation patterns,
Mon. Weather Rev.,
115, 1083–1126, https://doi.org/10.1175/1520-0493(1987)115<1083:csapol>2.0.co;2, 1987.
Boschat, G., Simmonds, I., Purich, A., Cowan, T., and Pezza, A. B.:
On the use of composite analyses to form physical hypotheses: An example from heat wave – SST associations, Sci. Rep., 6, 9, https://doi.org/10.1038/srep29599, 2016.
Cai, W., Li, K., Liao, H., Wang, H., and Wu, L.:
Weather conditions conducive to Beijing severe haze more frequent under climate change,
Nat. Clim. Change,
7, 257–262, https://doi.org/10.1038/nclimate3249, 2017.
Callahan, C. and Mankin, J.:
The influence of internal climate variability on projections of synoptically driven Beijing haze,
Geophys. Res. Lett.,
47, e2020GL088548, https://doi.org/10.1029/2020GL088548, 2020.
Chang, L., Wu, Z., and Xu, J.:
A comparison of haze pollution variability in China using haze indices based on observations,
Sci. Total Environ.,
715, 136929, https://doi.org/10.1016/j.scitotenv.2020.136929, 2020.
Chen, H. and Wang, H.:
Haze days in North China and the associated atmospheric circulations based on daily visibility data from 1960 to 2012,
J. Geophys. Res.-Atmos.,
120, 5895–5909, https://doi.org/10.1002/2015jd023225, 2015.
Chen, S., Guo, J., Song, L., Li, J., Liu, L., and Cohen, J. B.:
Inter-annual variation of the spring haze pollution over the North China Plain: Roles of atmospheric circulation and sea surface temperature,
Int. J. Climatol.,
39, 783–798, https://doi.org/10.1002/joc.5842, 2019.
Chen, S., Guo, J., Song, L., Cohen, J. B., and Wang, Y.:
Temporal disparity of the atmospheric systems contributing to interannual variation of wintertime haze pollution in the North China Plain,
Int. J. Climatol.,
40, 128–144, https://doi.org/10.1002/joc.6198, 2020a.
Chen, S., Guo, J., Song, L., Cohen, J. B. and Wang, Y.:
Intra-seasonal differences in the atmospheric systems contributing to interannual variations of autumn haze pollution in the North China Plain,
Theor. Appl. Climatol.,
141, 389–403, https://doi.org/10.1007/s00704-020-03221-4, 2020b.
China Meteorological Administration: Specifications for surface meteorological observation, China Meteorological Press, Beijing, 129–130, 2004.
CMA (China Meteorological Data Service Centre): The ground observations, CMA, available at: http://data.cma.cn/en (last access: 5 December 2021), 2017.
Dang, R. and Liao, H.: Severe winter haze days in the Beijing–Tianjin–Hebei region from 1985 to 2017 and the roles of anthropogenic emissions and meteorology, Atmos. Chem. Phys., 19, 10801–10816, https://doi.org/10.5194/acp-19-10801-2019, 2019.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011.
ERA-Interim: ERA-Interim data, ERA-Interim, available at: http://www.ecmwf.int/en/research/climate-reanalysis/era-interim (last access: 5 December 2021), 2017.
Fang, Z. F., Wallace, J. M., and Thompson, D. W. J.:
The relationship between the meridional profile of zonal-mean geostrophic wind and station wave at 500 hPa,
Adv. Atmos. Sci.,
18, 692–700, https://doi.org/10.1007/BF03403494, 2001.
Frankignoul, C. and Kestenare, E.:
Observed Atlantic SST anomaly impact on the NAO: An update,
J. Climate,
18, 4089–4094, https://doi.org/10.1175/jcli3523.1, 2005.
He, J., Gong, S., Zhou, C., Lu, S., Wu, L., Chen, Y., Yu, Y., Zhao, S., Yu, L., and Yin, C.:
Analyses of winter circulation types and their impacts on haze pollution in Beijing,
Atmos. Environ.,
192, 94–103, https://doi.org/10.1016/j.atmosenv.2018.08.060, 2018.
Li, J. and Han, Z.:
A modeling study of severe winter haze events in Beijing and its neighboring regions,
Atmos. Res.,
170, 87–97, https://doi.org/10.1016/j.atmosres.2015.11.009, 2016.
Li, J., Du, H., Wang, Z., Sun, Y., Yang, W., Li, J., Tang, X., and Fu, P.:
Rapid formation of a severe regional winter haze episode over a mega-city cluster on the North China Plain,
Environ. Pollut.,
223, 605–615, https://doi.org/10.1016/j.envpol.2017.01.063, 2017.
Li, J., Sun, J., Zhou, M., Cheng, Z., Li, Q., Cao, X., and Zhang, J.: Observational analyses of dramatic developments of a severe air pollution event in the Beijing area, Atmos. Chem. Phys., 18, 3919–3935, https://doi.org/10.5194/acp-18-3919-2018, 2018.
Li, J. P. and Wang, J. X. L.:
A new North Atlantic Oscillation index and its variability,
Adv. Atmos. Sci.,
20, 661–676, https://doi.org/10.1007/BF02915394, 2003.
Li, K., Liao, H., Cai, W., and Yang, Y.:
Attribution of anthropogenic influence on atmospheric patterns conducive to recent most severe haze over Eastern China,
Geophys. Res. Lett.,
45, 2072–2081, https://doi.org/10.1002/2017GL076570, 2018.
Li, X., Gao, Z., Li, Y., Gao, C. Y., Ren, J., and Zhang, X.:
Meteorological conditions for severe foggy haze episodes over north China in 2016–2017 winter,
Atmos. Environ.,
199, 284–298, https://doi.org/10.1016/j.atmosenv.2018.11.042, 2019.
Li, Y. and Yin, Z.:
Melting of Perennial Sea Ice in the Beaufort Sea Enhanced Its Impacts on Early-Winter Haze Pollution in North China after the Mid-1990s,
J. Climate,
33, 5061–5080, https://doi.org/10.1175/jcli-d-19-0694.1, 2020.
Lu, S., He, J., Gong, S., and Zhang, L.:
Influence of Arctic Oscillation abnormalities on spatio-temporal haze distributions in China,
Atmos. Environ.,
223, 117282, https://doi.org/10.1016/j.atmosenv.2020.117282, 2020.
Luo D., Yao, Y., and Feldstein, S.:
Regime transition of the North Atlantic Oscillation and the extreme cold event over Europe in January–February 2012,
Mon. Weather Rev.,
142, 4735–4757, https://doi.org/10.1175/MWR-D-13-00234.1, 2014.
Martinez-Asensio, A., Tsimplis, M. N., Marcos, M., Feng, X., Gomis, D., Jorda, G., and Josey, S. A.:
Response of the North Atlantic wave climate to atmospheric modes of variability,
Int. J. Climatol.,
36, 1210–1225, https://doi.org/10.1002/joc.4415, 2016.
Met Office: Monthly sea surface temperature data and sea-ice concentration data, Met Office [data set], available at: https://www.metoffice.gov.uk/hadobs/hadisst/data/download.html (last access: 5 December 2021), 2017.
Nie, Y., Ren, H.-L., and Zhang, Y.:
The role of extratropical air–sea interaction in the Autumn subseasonal variability of the North Atlantic Oscillation,
J. Climate,
32, 7697–7712, https://doi.org/10.1175/JCLI-D-19-0060.1, 2019.
NOAA-CPC: NAO and EA/WR indices, NOAA-CPC, available at: http://www.cpc.ncep.noaa.gov/data/teledoc/telecontents.shtml (last access: 5 December 2021), 2017.
Okumura, Y., Xie, S.-P., Numaguti, A., and Tanimoto, Y.:
Tropical Atlantic air-sea interaction and its influence on the NAO,
Geophys. Res. Lett.,
28, 1507–1510, https://doi.org/10.1029/2000GL012565, 2001.
Pei, L. and Yan, Z.:
Diminishing clear winter skies in Beijing towards a possible future,
Environ. Res. Lett.,
13, 124029, https://doi.org/10.1088/1748-9326/aaf032, 2018.
Pei, L., Yan, Z., Sun, Z., Miao, S., and Yao, Y.: Increasing persistent haze in Beijing: potential impacts of weakening East Asian winter monsoons associated with northwestern Pacific sea surface temperature trends, Atmos. Chem. Phys., 18, 3173–3183, https://doi.org/10.5194/acp-18-3173-2018, 2018.
Pei, L., Yan, Z., Chen, D., and Miao, S.:
Climate variability or anthropogenic emissions: which caused Beijing Haze?,
Environ. Res. Lett.,
15, 034004, https://doi.org/10.1088/1748-9326/ab6f11, 2020.
Peng, S. L., Robinson, W. A., and Li, S. L.:
North Atlantic SST forcing of the NAO and relationships with intrinsic hemispheric variability,
Geophys. Res. Lett.,
29, 1276, https://doi.org/10.1029/2001gl014043, 2002.
Peng, S. L., Robinson, W. A., and Li, S. L.:
Mechanisms for the NAO responses to the North Atlantic SST tripole,
J. Climate,
16, 1987–2004, https://doi.org/10.1175/1520-0442(2003)016<1987:mftnrt>2.0.co;2, 2003.
Rayner, N. A., Parker, D. E., Horton, E. B., Folland, C. K., Alexander, L. V., Rowell, D. P., Kent, E. C., and Kaplan, A.:
Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century,
J. Geophys. Res.-Atmos.,
108, 4407, https://doi.org/10.1029/2002jd002670, 2003.
Rudeva, I. and Simmonds, I.:
Midlatitude winter extreme temperature events and connections with anomalies in the Arctic and tropics,
J. Climate,
34, 3733–3749, https://doi.org/10.1175/JCLI-D-20-0371.1, 2021.
Shi, P., Zhang, G., Kong, F., Chen, D., Azorin-Molina, C., and Guijarro, J. A.:
Variability of winter haze over the Beijing-Tianjin-Hebei region tied to wind speed in the lower troposphere and particulate sources,
Atmos. Res.,
215, 1–11, https://doi.org/10.1016/j.atmosres.2018.08.013, 2019.
Simmonds, I. and Govekar, P. D.:
What are the physical links between Arctic sea ice loss and Eurasian winter climate?,
Environ. Res. Lett.,
9, 101003, https://doi.org/10.1088/1748-9326/9/10/101003, 2014.
Simmonds, I. and Li, M.: Trends and variability in polar sea ice, global atmospheric circulations and baroclinicity, Ann. NY Acad. Sci., 1504, 167–186, https://doi.org/10.1111/nyas.14673, 2021.
Su, B., Zhan, M., Zhai, J., Wang, Y., and Fischer, T.:
Spatio-temporal variation of haze days and atmospheric circulation pattern in China (1961–2013),
Quatern. Int.,
380, 14–21, https://doi.org/10.1016/j.quaint.2014.11.044, 2015.
Takaya, K. and Nakamura, H.:
A formulation of a phase-independent wave-activity flux for stationary and migratory quasigeostrophic eddies on a zonally varying basic flow,
J. Atmos. Sci.,
58, 608–627, https://doi.org/10.1175/1520-0469(2001)058<0608:afoapi>2.0.co;2, 2001.
Wang, H., Xu, J., Zhang, M., Yang, Y., Shen, X., Wang, Y., Chen, D., and Guo, J.:
A study of the meteorological causes of a prolonged and severe haze episode in January 2013 over central-eastern China,
Atmos. Environ.,
98, 146–157, https://doi.org/10.1016/j.atmosenv.2014.08.053, 2014.
Wang, H., Li, J. H., Peng, Y., Zhang, M., Che, H. Z., and Zhang, X. Y.:
The impacts of the meteorology features on PM2.5 levels during a severe haze episode in central-east China,
Atmos. Environ.,
197, 177–189, https://doi.org/10.1016/j.atmosenv.2018.10.001, 2019.
Wang, J., Zhu, Z., Qi, L., Zhao, Q., He, J., and Wang, J. X. L.: Two pathways of how remote SST anomalies drive the interannual variability of autumnal haze days in the Beijing–Tianjin–Hebei region, China, Atmos. Chem. Phys., 19, 1521–1535, https://doi.org/10.5194/acp-19-1521-2019, 2019.
Wang, J., Liu, Y., Ding, Y., Wu, P., Zhu, Z., Xu, Y., Li, Q., Zhang, Y., He, J., Wang, J. X. L., and Qi, L.:
Impacts of climate anomalies on the interannual and interdecadal variability of autumn and winter haze in North China: A review,
Int. J. Climatol.,
10, 4309–4325, https://doi.org/10.1002/joc.6471, 2020, 2020.
Wang, N. and Zhang, Y. C.:
Connections between the Eurasian teleconnection and concurrent variation of upper-level jets over East Asia,
Adv. Atmos. Sci.,
32, 336–348, https://doi.org/10.1007/s00376-014-4088-1, 2015.
Wang, Y. S., Yao, L., Liu, Z. R., J., D. S., Wang, L. L., and Zhang, J. K.:
Formation mechanism and control strategies of haze in China,
Bull. Chin. Acad. Sci.,
28, 353–363, 2013 (in Chinese).
Wirth, V., Riemer, M., Chang, E. K. M., and Martius, O.:
Rossby Wave Packets on the Midlatitude Waveguide–A Review,
Mon. Weather Rev.,
146, 1965–2001, https://doi.org/10.1175/mwr-d-16-0483.1, 2018.
Wu, D.:
More Discussions on the differences between Haze and Fog in City,
Quatern. Int.,
32, 9–15, 2006.
Wu D.:
Discussion on the distinction between haze and fog and analysis and processing of data,
Environ. Chem.,
27, 327–330, 2008.
Wu, P., Ding, Y., and Liu, Y.:
Atmospheric circulation and dynamic mechanism for persistent haze events in the Beijing–Tianjin–Hebei region,
Adv. Atmos. Sci.,
34, 429–440, https://doi.org/10.1007/s00376-016-6158-z, 2017.
Wu, Y., Zhang, R., Tian, P., Tao, J., Hsu, S. C., Yan, P., Wang, Q., Cao, J., Zhang, X., and Xia, X.:
Effect of ambient humidity on the light absorption amplification of black carbon in Beijing during January 2013,
Atmos. Environ.,
124, 217–223, https://doi.org/10.1016/j.atmosenv.2015.04.041, 2016.
Xiao, D., Li, Y., Fan, S., Zhang, R., Sun, J., and Wang, Y.:
Plausible influence of Atlantic Ocean SST anomalies on winter haze in China,
Theor. Appl. Climatol.,
122, 249–257, https://doi.org/10.1007/s00704-014-1297-6, 2015.
Yang, Y., Liao, H., and Lou, S.:
Increase in winter haze over eastern China in recent decades: Roles of variations in meteorological parameters and anthropogenic emissions,
J. Geophys. Res.-Atmos.,
121, 13050–13065, https://doi.org/10.1002/2016jd025136, 2016.
Yao Y. and Luo, D.:
Relationship between zonal position of the North Atlantic Oscillation and Euro–Atlantic blocking events and its possible effect on the weather over Europe,
Sci. China Earth. Sci.,
57, 2628–2636, https://doi.org/10.1007/s11430-014-4949-6, 2014.
Yao, Y., Luo, D., Dai, A. and Feldstein, S.:
The positive North Atlantic Oscillation with downstream blocking and Middle East snowstorms: Impacts of the North Atlantic jet,
J. Climate,
29, 1853–1876, https://doi.org/10.1175/JCLI-D-15-0350.1, 2016.
Yin, Z. and Wang, H.:
The relationship between the subtropical Western Pacific SST and haze over North-Central North China Plain,
Int. J. Climatol.,
36, 3479–3491, https://doi.org/10.1002/joc.4570, 2016.
Yin, Z. and Wang, H.: Role of atmospheric circulations in haze pollution in December 2016, Atmos. Chem. Phys., 17, 11673–11681, https://doi.org/10.5194/acp-17-11673-2017, 2017.
Yin, Z. and Wang, H.: The strengthening relationship between Eurasian snow cover and December haze days in central North China after the mid-1990s, Atmos. Chem. Phys., 18, 4753–4763, https://doi.org/10.5194/acp-18-4753-2018, 2018.
Yin, Z., Wang, H., and Chen, H.: Understanding severe winter haze events in the North China Plain in 2014: roles of climate anomalies, Atmos. Chem. Phys., 17, 1641–1651, https://doi.org/10.5194/acp-17-1641-2017, 2017.
Yin, Z., Li, Y., and Wang, H.: Response of early winter haze in the North China Plain to autumn Beaufort sea ice, Atmos. Chem. Phys., 19, 1439–1453, https://doi.org/10.5194/acp-19-1439-2019, 2019a.
Yin, Z., Wang, H., and Ma, X.:
Possible Relationship between the Chukchi Sea Ice in the Early Winter and the February Haze Pollution in the North China Plain,
J. Climate,
32, 5179–5190, https://doi.org/10.1175/jcli-d-18-0634.1, 2019b.
Zhang, R., Li, Q., and Zhang, R.:
Meteorological conditions for the persistent severe fog and haze event over eastern China in January 2013,
Sci. China Earth Sci.,
57, 26–35, https://doi.org/10.1007/s11430-013-4774-3, 2014.
Zhang, Y., Fan, J., Chen, X., Ashkenazy, Y., and Havlin, S.:
Significant Impact of Rossby Waves on Air Pollution Detected by Network Analysis,
Geophys. Res. Lett.,
46, 12476–12485, https://doi.org/10.1029/2019gl084649, 2019.
Zhang, Z., Zhang, X., Gong, D., Kim, S.-J., Mao, R., and Zhao, X.: Possible influence of atmospheric circulations on winter haze pollution in the Beijing–Tianjin–Hebei region, northern China, Atmos. Chem. Phys., 16, 561–571, https://doi.org/10.5194/acp-16-561-2016, 2016.
Zhong, W., Yin, Z., and Wang, H.: The relationship between anticyclonic anomalies in northeastern Asia and severe haze in the Beijing–Tianjin–Hebei region, Atmos. Chem. Phys., 19, 5941–5957, https://doi.org/10.5194/acp-19-5941-2019, 2019.
Zou, Y., Wang, Y., Zhang, Y., and Koo, J.-H.:
Arctic sea ice, Eurasia snow, and extreme winter haze in China,
Sci. Adv.,
3, e1602751, https://doi.org/10.1126/sciadv.1602751, 2017.
Short summary
We found that an atmospheric transmission constituted by a western-type positive North Atlantic Oscillation (NAO+) pattern and a positive East Atlantic/West Russia (EA/WR+) pattern plays an essential role in the persistent haze events in Beijing. As the origin of the atmospheric transmission, the state of the western-type NAO pattern can help to increase the predictability of winter haze days and persistent haze events in Beijing on interannual and daily-to-weekly timescales.
We found that an atmospheric transmission constituted by a western-type positive North Atlantic...
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