Abstract
A comprehensive measurement of planetary boundary layer (PBL) meteorology was conducted at 140 and 280 m on a meteorological tower in Beijing, China, to quantify the effect of aerosols on radiation and its role in PBL development. The measured variables included four-component radiation, temperature, sensible heat flux (SH), and turbulent kinetic energy (TKE) at 140 and 280 m, as well as PBL height (PBLH). In this work, a method was developed to quantitatively estimate the effect of aerosols on radiation based on the PBLH and radiation at the two heights (140 and 280 m). The results confirmed that the weakened downward shortwave radiation (DSR) on hazy days could be attributed predominantly to increased aerosols, while for longwave radiation, aerosols only accounted for around one-third of the enhanced downward longwave radiation. The DSR decreased by 55.2 W m−2 on hazy days during noontime (1100–1400 local time). The weakened solar radiation decreased SH and TKE by enhancing atmospheric stability, and hence suppressed PBL development. Compared with clean days, the decreasing rates of DSR, SH, TKE, and PBLH were 11.4%, 33.6%, 73.8%, and 53.4%, respectively. These observations collectively suggest that aerosol radiative forcing on the PBL is exaggerated by a complex chain of interactions among thermodynamic, dynamic, and radiative processes. These findings shed new light on our understanding of the complex relationship between aerosol and the PBL.
Similar content being viewed by others
References
Boers, R., and E. W. Eloranta, 1986: Lidar measurements of the atmospheric entrainment zone and the potential temperature jump across the top of the mixed layer. Bound.-Layer Meteor., 34, 357–375, doi: https://doi.org/10.1007/BF00120988.
Bond, T. C., S. J. Doherty, D. W. Fahey, et al., 2013: Bounding the role of black carbon in the climate system: A scientific assessment. J. Geophys. Res. Atmos., 118, 5380–5552, doi: https://doi.org/10.1002/jgrd.50171.
Brooks, I. M., 2003: Finding boundary layer top: Application of a wavelet covariance transform to lidar backscatter profiles. J. Atmos. Oceanic Technol., 20, 1092–1105, doi: https://doi.org/10.1175/1520-0426(2003)020<1092:FBLTAO>2.0.CO;2.
Burba, G., 2013: Eddy Covariance Method for Scientific, Industrial, Agricultural, and Regulatory Applications: A Field Book on Measuring Ecosystem Gas Exchange and Areal Emission Rates. LI-COR Biosciences, Lincoln, NE, USA, 110–112.
Cohn, S. A., and W. M. Angevine, 2000: Boundary layer height and entrainment zone thickness measured by lidars and wind-profiling radars. J. Appl. Meteor., 39, 1233–1247, doi: https://doi.org/10.1175/1520-0450(2000)039<1233:BLHAEZ>2.0.CO;2.
Cuesta, J., D. Edouart, M. Mimouni, et al., 2008: Multiplatform observations of the seasonal evolution of the Saharan atmospheric boundary layer in Tamanrasset, Algeria, in the framework of the African Monsoon Multidisciplinary Analysis field campaign conducted in 2006. J. Geophys. Res. Atmos., 11, D00C07, doi: https://doi.org/10.1029/2007JD009417.
Ding, A. J., X. Huang, W. Nie, et al., 2016: Enhanced haze pollution by black carbon in megacities in China. Geophys. Res. Lett., 43, 2873–2879, doi: https://doi.org/10.1002/2016GL067745.
Dou, J. X., S. Grimmond, Z. G. Cheng, et al., 2019: Summertime surface energy balance fluxes at two Beijing sites. Int. J. Climatol., 33, 2793–2810, doi: https://doi.org/10.1002/joc.5989.
Gao, Y., M. Zhang, Z. Liu, et al., 2015: Modeling the feedback between aerosol and meteorological variables in the atmospheric boundary layer during a severe fog-haze event over the North China Plain. Atmos. Chem. Phys., 15, 4279–4295, doi: https://doi.org/10.5194/acp-15-4279-2015.
Han, S. Q., H. Bian, X. X. Tie, et al., 2009: Impact of nocturnal planetary boundary layer on urban air pollutants: Measurements from a 250-m tower over Tianjin, China. J. Hazard. Mater., 162, 264–269, doi: https://doi.org/10.1016/j.jhazmat.2008.05.056.
Koll, D. D. B., and T. W. Cronin, 2018: Earth’s outgoing longwave radiation linear due to H2O greenhouse effect. Proc. Natl. Acad. Sci. USA, 115, 10,293–10,298, doi: https://doi.org/10.1073/pnas.1809868115.
Liu, Q., X. C. Jia, J. N. Quan, et al., 2018: New positive feedback mechanism between boundary layer meteorology and secondary aerosol formation during severe haze events. Sci. Rep., 8, 6095, doi: https://doi.org/10.1038/s41598-018-24366-3.
Liu, X. M., F. Hu, L. H. Quan, et al., 2009: Validation of the local similarity in urban boundary layer. Climatic Environ. Res., 14, 183–191. (in Chinese)
Ma, Y. J., H. J. Zhao, Y. S. Dong, et al., 2018: Comparison of two air pollution episodes over Northeast China in winter 2016/17 using ground-based lidar. J. Meteor. Res., 32, 313–323, doi: https://doi.org/10.1007/s13351-018-7047-4.
Marsham, J. H., D. J. Parker, C. M. Grams, et al., 2008: Observations of mesoscale and boundary-layer scale circulations affecting dust transport and uplift over the Sahara. Atmos. Chem. Phys., 8, 6979–6993, doi: https://doi.org/10.5194/acp-8-6979-2008.
Menon, S., J. Hansen, L. Nazarenko, et al., 2002: Climate effects of black carbon aerosols in China and India. Science, 237, 2250–2253, doi: https://doi.org/10.1126/science.1075159.
Messager, C., D. J. Parker, O. Reitebuch, et al., 2010: Structure and dynamics of the Saharan atmospheric boundary layer during the West African monsoon onset: Observations and analyses from the research flights of 14 and 17 July 2006. Quart. J. Roy. Meteor. Soc., 136, 107–124, doi: https://doi.org/10.1002/qj.469.
Nieuwstadt, F. T. M., and P. G. Duynkerke, 1996: Turbulence in the atmospheric boundary layer. Atmos. Res., 40, 111–142, doi: https://doi.org/10.1016/0169-8095(95)00034-8.
Peng, Z., and F. Hu, 2006: A study of the influence of urbanization of Beijing on the boundary wind structure. Chinese J. Geophys., 49, 1608–1615, doi: https://doi.org/10.3321/j.issn:0001-5733.2006.06.005. (in Chinese)
Petäjä, T., L. Järvi, V.-M. Kerminen, et al., 2016: Enhanced air pollution via aerosol-boundary layer feedback in China. Sci. Rep., 6, 18998, doi: https://doi.org/10.1038/srep18998.
Quan, J. N., Y. Gao, Q. Zhang, et al., 2013: Evolution of planetary boundary layer under different weather conditions, and its impact on aerosol concentrations. Particuology, 11, 34–10, doi: https://doi.org/10.1016/j.partic.2012.04.005.
Quan, J. N., X. X. Tie, Q. Zhang, et al., 2014: Characteristics of heavy aerosol pollution during the 2012–2013 winter in Beijing, China. Atmos. Environ., 88, 83–89, doi: https://doi.org/10.1016/j.atmosenv.2014.01.058.
Ren, Y., S. W. Zheng, W. Wei, et al., 2018: Characteristics of turbulent transfer during episodes of heavy haze pollution in Beijing in winter 2016/17. J. Meteor. Res., 32, 69–80, doi: https://doi.org/10.1007/s13351-018-7072-3.
Stewart, I. D., and T. R. Oke, 2012: Local climate zones for urban temperature studies. Bull. Amer. Meteor. Soc., 93, 1879–1900, doi: https://doi.org/10.1175/BAMS-D-11-00019.1.
Tang, G. Q., J. Q. Zhang, X. W. Zhu, et al., 2016: Mixing layer height and its implications for air pollution over Beijing, China. Atmos. Chem. Phys., 16, 2459–2475, doi: https://doi.org/10.5194/acp-16-2459-2016.
Wang, Y., C. F. Zhao, Z. P. Dong, et al., 2018: Improved retrieval of cloud base heights from ceilometer using a non-standard instrument method. Atmos. Res., 202, 148–155, doi: https://doi.org/10.1016/j.atmosres.2017.11.021.
Wyngaard, J. C., 1990: Scalar fluxes in the planetary boundary layer—Theory, modeling, and measurement. Bound.-Layer Meteor., 50, 49–75, doi: https://doi.org/10.1007/BF00120518.
Yang, X., C. F. Zhao, J. P. Guo, et al., 2016: Intensification of aerosol pollution associated with its feedback with surface solar radiation and winds in Beijing. J. Geophys. Res. Atmos., 121, 4093–4099, doi: https://doi.org/10.1002/2015JD024645.
Zhang, Q., X. C. Ma, X. X. Tie, et al., 2009: Vertical distributions of aerosols under different weather conditions: Analysis of insitu aircraft measurements in Beijing, China. Atmos. Environ., 43, 5526–5535, doi: https://doi.org/10.1016/j.atmosenv.2009.05.037.
Zhang, Q., J. Zhang, J. Qiao, et al., 2011a: Relationship of atmospheric boundary layer depth with thermodynamic processes at the land surface in arid regions of China. Sci. China Earth Sci., 54, 1586–1594, doi: https://doi.org/10.1007/s11430-011-4207-0.
Zhang, Q., J. N. Quan, X. X. Tie, et al., 2011b: Impact of aerosol particles on cloud formation: Aircraft measurements in China. Atmos. Environ., 45, 665–672, doi: https://doi.org/10.1016/j.atmosenv.2010.10.025.
Zhao, C. S., X. X. Tie, and Y. P. Lin, 2006: A possible positive feedback of reduction of precipitation and increase in aerosols over eastern central China. Geophys. Res. Lett., 33, L11814, doi: https://doi.org/10.1029/2006GL025959.
Zhong, J. T., X. Y. Zhang, Y. Q. Wang, et al., 2018: Heavy aerosol pollution episodes in winter Beijing enhanced by radiative cooling effects of aerosols. Atmos. Res., 209, 59–64, doi: https://doi.org/10.1016/j.atmosres.2018.03.011.
Acknowledgments
Thanks to Jia Jingjing and Li Aiguo, who work at the IAP, Chinese Academy of Sciences, for their help with the data analysis in this paper.
Author information
Authors and Affiliations
Corresponding author
Additional information
Supported by the National Key Research and Development Program of China (2017YFC0209604 and 2018YFF0300101) and Beijing Natural Science Foundation (8204062).
Rights and permissions
About this article
Cite this article
Cheng, Z., Pan, Y., Li, J. et al. Assessing the Influence of Aerosol on Radiation and Its Roles in Planetary Boundary Layer Development. J Meteorol Res 35, 384–392 (2021). https://doi.org/10.1007/s13351-021-0109-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13351-021-0109-z