31 Jan 2022
 | 31 Jan 2022
Status: this preprint is currently under review for the journal ACP.

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

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

Abstract. Measurements of radiative and turbulent heat fluxes for 16 months in suburban Miyun with a mix of buildings and agriculture allows the changing role of these fluxes to be assessed. Daytime turbulent latent heat fluxes (QE) are largest in summer and smaller in winter, consistent with the net all wave radiation (Q*). Whereas, the daytime sensible heat flux (QH) is greatest in spring but smallest in summer, rather than winter as commonly observed in suburban areas. The results have larger seasonal variability in energy partitioning compared to previous suburban studies. Daytime energy partitioning is between: 0.15–0.57 for QH /Q* (mean summer = 0.16, winter = 0.46); 0.06–0.56 for QE / Q* (mean summer = 0.52, winter = 0.10), and 0.26–7.40 for QQE (mean summer = 0.32; winter = 4.60). Compared to the literature for suburban aras, these are amongst the lowest and highest values. Results indicate that precipitation, irrigation, crop/vegetation growth activity and land use/cover all play critical roles in the energy partitioning. These results will help to enhance our understanding of surface–atmosphere energy exchanges over cities, and are critical to improving and evaluating urban canopy models needed to support integrated urban services, that include urban planning to mitigate the adverse effects of urban climate change.

Junxia Dou et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • AC1: 'Corrigendum to the Title', Junxia Dou, 04 Feb 2022
  • RC1: 'Comment on acp-2021-1022', Anonymous Referee #1, 18 Feb 2022
  • RC2: 'Comment on acp-2021-1022', Anonymous Referee #2, 25 Feb 2022

Junxia Dou et al.


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Short summary
Multi-timescale variations in surface energy fluxes at a suburb of Beijing are analyzed using 16-months 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 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.