Articles | Volume 23, issue 20
https://doi.org/10.5194/acp-23-13143-2023
https://doi.org/10.5194/acp-23-13143-2023
Research article
 | 
18 Oct 2023
Research article |  | 18 Oct 2023

Surface energy balance fluxes in a suburban area of Beijing: energy partitioning variability

Junxia Dou, Sue Grimmond, Shiguang Miao, Bei Huang, Huimin Lei, and Mingshui Liao

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Cited articles

Allen, L., Lindberg, F., and Grimmond, C. S. B.: Global to city scale urban anthropogenic heat flux: Model and variability, Int. J. Climatol., 31, 1990–2005, https://doi.org/10.1002/joc.2210, 2011. 
Anandakumar, K.: A study on the partition of net radiation into heat fluxes on a dry asphalt surface, Atmos. Environ., 33, 3911–3918, https://doi.org/10.1016/S1352-2310(99)00133-8, 1999. 
Ando, T. and Ueyama, M.: Surface energy exchange in a dense urban built-up area based on two-year eddy covariance measurements in Sakai, Japan, Urban Climate, 19, 155–169, https://doi.org/10.1016/j.uclim.2017.01.005, 2017. 
Ao, X. Y., Grimmond, C. S. B., Chang, Y. Y., Liu, D. W., Tang, Y. Q., Hu, P., Wang, Y. D., Zou, J., and Tan, J. G.: Heat, water and carbon exchanges in the tall megacity of Shanghai: challenges and results, Int. J. Climatol., 36, 4608–4624, https://doi.org/10.1002/joc.4657, 2016a. 
Ao, X. Y., Grimmond, C. S. B., Liu, D. W., Han, Z. H., Hu, P., Wang, Y. D., Zhen, X. R., and Tan, J. G.: Radiation fluxes in a business district of Shanghai, China, J. Appl. Meteorol. Clim., 55, 2451–2468, https://doi.org/10.1175/JAMC-D-16-0082.1, 2016b. 
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Multi-timescale variations in surface energy fluxes in a suburb of Beijing are analyzed using 16-month observations. Compared to previous suburban areas, this study site has larger seasonal variability in energy partitioning, and summer and winter Bowen ratios are at the lower and higher end of those at other suburban sites, respectively. Our analysis indicates that precipitation, irrigation, crop/vegetation growth activity, and land use/cover all play critical roles in energy partitioning.
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