Articles | Volume 22, issue 2
https://doi.org/10.5194/acp-22-725-2022
© Author(s) 2022. 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-22-725-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Effect of rainfall-induced diabatic heating over southern China on the formation of wintertime haze on the North China Plain
Xiadong An
Department of Marine Meteorology, College of Oceanic and Atmospheric
Sciences, Ocean University of China, Qingdao 266100, China
Lifang Sheng
CORRESPONDING AUTHOR
Department of Marine Meteorology, College of Oceanic and Atmospheric
Sciences, Ocean University of China, Qingdao 266100, China
Key Laboratory of South China Sea Meteorological Disaster Prevention
and Mitigation of Hainan Province, Haikou 570000, China
Ocean-Atmosphere Interaction and Climate Laboratory, Key Laboratory of
Physical Oceanography, Ocean University of China, Qingdao 266100, China
Chun Li
Department of Marine Meteorology, College of Oceanic and Atmospheric
Sciences, Ocean University of China, Qingdao 266100, China
Ocean-Atmosphere Interaction and Climate Laboratory, Key Laboratory of
Physical Oceanography, Ocean University of China, Qingdao 266100, China
Center for Monsoon System Research, Institute of Atmospheric Physics,
Chinese Academy of Sciences, Beijing 100190, China
Yulian Tang
Center for Monsoon System Research, Institute of Atmospheric Physics,
Chinese Academy of Sciences, Beijing 100190, China
Jingliang Huangfu
Center for Monsoon System Research, Institute of Atmospheric Physics,
Chinese Academy of Sciences, Beijing 100190, China
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Cited articles
An, X., Sheng, L., Liu, Q., Li, C., Gao, Y., and Li, J.: The combined effect of two westerly jet waveguides on heavy haze in the North China Plain in November and December 2015, Atmos. Chem. Phys., 20, 4667–4680, https://doi.org/10.5194/acp-20-4667-2020, 2020.
Branstator, G.: Circumglobal teleconnections, the jet stream waveguide, and the North Atlantic Oscillation, J. Clim., 15, 1893–1910, https://doi.org/10.1175/1520-0442(2002)015<1893:CTTJSW>2.0.CO;2, 2002.
Callahan, C. W. and Mankin, J. S.: The influence of internal climate
variability on projections of synoptically driven Beijing haze, Geophys.
Res. Lett., 46, e2020GL088548, https://doi.org/10.1029/2020GL088548, 2020.
Cai, W., Li, K., Liao, H., Wang, H. J., and Wu, L. X.: 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.
China Meteorological Administration: QXT 113-2010 Observation and
forecasting levels of haze, China Meteorol. Press, Beijing, China, 2010 (in
Chinese).
China Meteorological Administration (CMA): China ground observation data sets, available at: http://data.cma.cn/, last access: 12 November 2017 (in Chinese).
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, G., Li, S., Zhang, Y., Zhang, W., Li, D., Wei, X., He, Y., Bell, M.
L., Williams, G., Marks, G. B., Jalaludin, B., Abramson, M. J., and Guo, Y.:
Effects of ambient PM1 air pollution on daily emergency hospital visits in
China: an epidemiological study, Lancet Planet. Heal., 1, 221–229,
https://doi.org/10.1016/S2542-5196(17)30100-6, 2017.
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, 2020.
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.
Ding, F. and Li, C.: Subtropical westerly jet waveguide and winter
persistent heavy rainfall in south China, J. Geophys. Res.-Atmos., 122,
7385–7400, https://doi.org/10.1002/2017JD026530, 2017.
Ding, Y., Wu, P., Liu, Y., and Song, Y.: Environmental and Dynamic
Conditions for the Occurrence of Persistent Haze Events in North China,
Engineering, 3, 266–271, https://doi.org/10.1016/J.ENG.2017.01.009, 2017.
Feng, J., Li, J., Liao, H., and Zhu, J.: Simulated coordinated impacts of the previous autumn North Atlantic Oscillation (NAO) and winter El Niño on winter aerosol concentrations over eastern China, Atmos. Chem. Phys., 19, 10787–10800, https://doi.org/10.5194/acp-19-10787-2019, 2019.
Gao, M., Carmichael, G. R., Saide, P. E., Lu, Z., Yu, M., Streets, D. G., and Wang, Z.: Response of winter fine particulate matter concentrations to emission and meteorology changes in North China, Atmos. Chem. Phys., 16, 11837–11851, https://doi.org/10.5194/acp-16-11837-2016, 2016.
Hoskins, B. J. and Ambrizzi, T.: Rossby Wave Propagation on a Realistic
Longitudinally Varying Flow, J. Atmos. Sci., 50, 1661–1671,
https://doi.org/10.1175/1520-0469(1993)050<1661:RWPOAR>2.0.CO;2, 1993.
Huang, S. J., Li, X. Z., and Wen Z. P.: Characteristics and possible sources of the intraseasonal South Asian jet wave train in boreal winter, J. Clim., 33, 10523–10537, https://doi.org/10.1175/JCLI-D-20-0125.1, 2020.
Hu, P., Chen, W., Chen, S. F., Liu, Y. Y., Huang, R. P., and Dong, S. R.:
Relationship between the South China Sea summer monsoon withdrawal and
September–October rainfall over southern China, Clim. Dyn., 54, 713–726,
https://doi.org/10.1007/s00382-019-05026-2, 2020.
Hughes, H. E., Morbey, R., Fouillet, A., Caserio-Schönemann, C., Dobney,
A., Hughes, T. C., Smith, G. E., and Elliot, A. J.: Retrospective
observational study of emergency department syndromic surveillance data
during air pollution episodes across London and Paris in 2014, BMJ Open, 8,
1–12, https://doi.org/10.1136/bmjopen-2017-018732, 2018.
Kanamitsu, M., Ebisuzaki, W., Woollen, J., Yang, S.-K., Hnilo, J. J.,
Fiorino, M., and Potter, G. L.: NCEP-DOE AMIP-II Reanalysis (R-2), B. Am.
Meteorol. Soc., 83, 1631–1643, 2002.
Lelieveld, J., Klingmüller, K., Pozzer, A., Pöschl, U., Fnais, M.,
Daiber, A., and Münzel, T.: Cardiovascular disease burden from ambient
air pollution in Europe reassessed using novel hazard ratio functions, Eur.
Heart J., 40, 1–7, https://doi.org/10.1093/eurheartj/ehz135, 2019.
Li, C. and Sun, J. L.: Role of the subtropical westerly jet waveguide in a
southern China heavy rainstorm in December 2013, Adv. Atmos. Sci., 32,
601–612, https://doi.org/10.1007/s00376-014-4099-y, 2015.
Li, H., Yang, Y., Wang, H., Li, B., Wang, P., Li, J., and Liao, H.:
Constructing a spatiotemporally coherent long-term PM2.5 concentration
dataset over China during 1980–2019 using a machine learning approach, Sci.
Total Environ., 765, 144263,
https://doi.org/10.1016/j.scitotenv.2020.144263, 2021.
Li, M., Yao, Y., Simmonds, I., Luo, D., Zhong, L., and Pei, L.: Atmospheric transmission patterns which promote persistent winter haze over Beijing, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2020-823, in review, 2021.
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. Clim., 33, 5061–5080,
https://doi.org/10.1175/JCLI-D-19-0694.1, 2020.
Li, Y., Zhang, J., Sailor, D. J., and Ban-Weiss, G. A.: Effects of urbanization on regional meteorology and air quality in Southern California, Atmos. Chem. Phys., 19, 4439–4457, https://doi.org/10.5194/acp-19-4439-2019, 2019.
Li, X., Wen, Z., and Huang, W.: Modulation of South Asian Jet Wave Train on
the Extreme Winter Precipitation over Southeast China: Comparison between
2015/16 and 2018/19, J. Clim., 33, 4065–4081,
https://doi.org/10.1175/JCLI-D-19-0678.1, 2020.
Liu, Q., Sheng, L., Cao, Z., Diao, Y., Wang, W., and Zhou, Y.: Dual effects
of the winter monsoon on haze-fog variations in eastern China, J. Geophys.
Res.-Atmos., 122, 5857–5869, https://doi.org/10.1002/2016JD026296, 2017.
Lu, R. and Lin, Z.: Role of subtropical precipitation anomalies in
maintaining the summertime meridional teleconnection over the western North
Pacific and East Asia, J. Clim., 22, 2058–2072,
https://doi.org/10.1175/2008JCLI2444.1, 2009.
Ma, T. J., Chen, W., Feng, J., and Wu, R. G.: Modulation effects of the East
Asian winter monsoon on El Niño-related rainfall anomalies in
southeastern China, Sci. Rep., 8, 14107,
https://doi.org/10.1038/s41598-018-32492-1, 2018.
NCEP/NCAR: NCEP/NCAR Reanalysis data sets, available at:
http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html, last
access: 20 December 2020.
Nie, J., Dai, P. X., and Sobel, A. H.: Dry and moist dynamics shape regional
patterns of extreme precipitation sensitivity, P. Natl. Acad. Sci. USA,
117, 8757–8763, https://doi.org/10.1073/pnas.1913584117, 2020.
Quan, J., Zhang, Q., He, H., Liu, J., Huang, M., and Jin, H.: Analysis of the formation of fog and haze in North China Plain (NCP), Atmos. Chem. Phys., 11, 8205–8214, https://doi.org/10.5194/acp-11-8205-2011, 2011.
Sampe, T. and Xie, S.-P.: Large-scale dynamics of the Meiyu-Baiu rain band:
Environmental forcing by the westerly jet, J. Clim., 23, 113–134,
https://doi.org/10.1175/2009JCLI3128.1, 2010.
Sardeshmukh, P. D. and Hoskins B. J.: The Generation of global rotational
flow by steady idealized tropical divergence, J. Atmos. Sci., 45,
1228–1251, https://doi.org/10.1175/1520-0469(1988)045<1228:TGOGRF>2.0.CO;2, 1988.
Stirnberg, R., Cermak, J., Kotthaus, S., Haeffelin, M., Andersen, H., Fuchs, J., Kim, M., Petit, J.-E., and Favez, O.: Meteorology-driven variability of air pollution (PM1) revealed with explainable machine learning, Atmos. Chem. Phys., 21, 3919–3948, https://doi.org/10.5194/acp-21-3919-2021, 2021.
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.
Wallace, J. M. and Gutzler, D. S.: Teleconnections in the Geopotential Height Field during the Northern Hemisphere Winter, Mon. Weather Rev., 109, 784–812, https://doi.org/10.1175/1520-0493(1981)109<0784:TITGHF>2.0.CO;2, 1981.
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, Y. H., Liu, Z. R., Zhang, J. K., Hu, B., Ji, D. S., Yu, Y. C., and
Wang, Y. S.: Aerosol physicochemical properties and implications for
visibility during an intense haze episode during winter in Beijing, Atmos.
Chem. Phys., 15, 3205–3215, https://doi.org/10.5194/acp-15-3205-2015, 2015.
Watanabe, M. and Kimoto, M.: Atmosphere-ocean thermal coupling in the North
Atlantic: a positive feedback, Q. J. Roy. Meteor. Soc., 126,
3343–3369, https://doi.org/10.1002/qj.49712657017, 2000.
Xu, K., Miao, H.-Y., Liu, B., Tam, C.-Y., and Wang, W.: Aggravation of
record-breaking drought over the mid-to-lower reaches of the Yangtze River
in the postmonsoon season of 2019 by anomalous Indo-Pacific oceanic
conditions, Geophys. Res. Let., 47, e2020GL090847,
https://doi.org/10.1029/2020GL090847, 2020.
Xu, B., Gu, Z. Y., Wang, L., Hao, Q. Z., Wang, H. Z., Chu, G. Q., Lv, Y. W.,
and Jiang, D. B.: Global warming increases the incidence of haze days in
China, J. Geophys. Res.-Atmos., 124, 6180–6190,
https://doi.org/10.1029/2018JD030119, 2019.
Yanai, M., Esbensen, S., and Chu, J.-H.: Determination of Bulk Properties of
Tropical Cloud Clusters from Large-Scale Heat and Moisture Budgets, J.
Atmos. Sci., 30, 611–627,
https://doi.org/10.1175/1520-0469(1973)030<0611:DOBPOT>2.0.CO;2, 1973.
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.
Yang, Y.: Constructing a spatiotemporally coherent long-term PM2.5
concentration dataset over China during 1980–2019 using a machine learning
approach (Version 1), Zenodo [data set], https://doi.org/10.5281/zenodo.4293239, 2020.
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. Clim., 32, 5179–5190,
https://doi.org/10.1175/JCLI-D-18-0634.1, 2019b.
Yu, X., Wang, Z., Zhang, H., He, J., and Li, Y.: Contrasting impacts of two
types of El Niño events on winter haze days in China's Jing-Jin-Ji
region, Atmos. Chem. Phys., 20, 10279–10293,
https://doi.org/10.5194/acp-20-10279-2020, 2020.
Zhang, Y., Yin, Z., and Wang, H.: Roles of climate variability on the rapid increases of early winter haze pollution in North China after 2010, Atmos. Chem. Phys., 20, 12211–12221, https://doi.org/10.5194/acp-20-12211-2020, 2020.
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., Xie, Z., Wang, H., and Rasch, P. J.: Atmospheric teleconnection processes linking winter air stagnation and haze extremes in China with regional Arctic sea ice decline, Atmos. Chem. Phys., 20, 4999–5017, https://doi.org/10.5194/acp-20-4999-2020, 2020.
Zhang, Z., Gong, D., Mao, R., Qiao, L., Kim, S.-J., and Liu, S.: Possible
influence of the Antarctic oscillation on haze pollution in North China, J.
Geophys. Res.-Atmos., 124, 1307–1321, https://doi.org/10.1029/2018JD029239,
2019.
Zhang, Y. Q., Ma, Z. K., Gao, Y., and Zhang, M. G.: Impacts of the meteorological condition versus emissions reduction on the PM2.5 concentration over Beijing–Tianjin–Hebei during the COVID-19 lockdown, Atmos. Oceanic Sci. Lett., 14, 100014, https://doi.org/10.1016/j.aosl.2020.100014, 2020.
Zhang, G., Gao, Y., Cai, W., Leung, L. R., Wang, S., Zhao, B., Wang, M., Shan, H., Yao, X., and Gao, H.: Seesaw haze pollution in North China modulated by the sub-seasonal variability of atmospheric circulation, Atmos. Chem. Phys., 19, 565–576, https://doi.org/10.5194/acp-19-565-2019, 2019.
Zhang, W., Hai, S., Zhao, Y., Sheng, L., Zhou, Y., Wang, W., and Li, W.: Numerical modeling of regional transport of PM2.5 during a severe pollution event in the Beijing–Tianjin–Hebei Region in November 2015, Atmos. Environ., 254, 118393, https://doi.org/10.1016/j.atmosenv.2021.118393, 2021.
Zhao, S., Li, J. and Sun, C.: Decadal variability in the occurrence of
wintertime haze in central eastern China tied to the Pacific Decadal
Oscillation, Sci. Rep., 6, 27424, https://doi.org/10.1038/srep27424, 2016.
Short summary
The North China Plain (NCP) suffered many periods of haze in winter during 1985–2015, related to the rainfall-induced diabatic heating over southern China. The haze over the NCP is modulated by an anomalous anticyclone caused by the Rossby wave and a north–south circulation (NSC) induced mainly by diabatic heating. As a Rossby wave source, rainfall-induced diabatic heating supports waves and finally strengthens the anticyclone over the NCP. These changes favor haze over the NCP.
The North China Plain (NCP) suffered many periods of haze in winter during 1985–2015, related to...
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