Articles | Volume 16, issue 15
https://doi.org/10.5194/gmd-16-4551-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-4551-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Simulating heat and CO2 fluxes in Beijing using SUEWS V2020b: sensitivity to vegetation phenology and maximum conductance
Yingqi Zheng
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, 00560, Finland
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100029, China
Minttu Havu
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, 00560, Finland
Huizhi Liu
CORRESPONDING AUTHOR
Department of Atmospheric Sciences, Yunnan University, Kunming, 650091, China
Xueling Cheng
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100029, China
Yifan Wen
School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing, 100084, China
Hei Shing Lee
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, 00560, Finland
Helsinki Institute of Sustainability Science, University of Helsinki, Helsinki, 00560, Finland
Joyson Ahongshangbam
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, 00560, Finland
Leena Järvi
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, 00560, Finland
Helsinki Institute of Sustainability Science, University of Helsinki, Helsinki, 00560, Finland
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Cited
11 citations as recorded by crossref.
- Contrasting the features and functionalities of urban microclimate simulation tools G. Vurro & S. Carlucci https://doi.org/10.1016/j.enbuild.2024.114042
- Flux-tower evaluation and LCZ-based application of SUEWS in a temperate monsoon city: A case study of Xiong’an new area J. Hua et al. https://doi.org/10.1016/j.buildenv.2025.113896
- Direct CO2 emissions and uptake at neighbourhood-scale across the urban area of Beijing Y. Zheng et al. https://doi.org/10.1016/j.cacint.2025.100252
- Quantifying interactive effects of people and built-environment on urban park cooling benefits, a case study of Shanghai B. Jin et al. https://doi.org/10.1016/j.scs.2026.107453
- Evaluation of the surface urban energy and water balance scheme (SUEWS) and its application in LCZs of the humid subtropical city Guangzhou Y. Gong et al. https://doi.org/10.1016/j.scs.2026.107507
- Carbon sequestration in different urban vegetation types in Southern Finland L. Thölix et al. https://doi.org/10.5194/bg-22-725-2025
- Intercomparison of biogenic CO2 flux models in four urban parks in the city of Zurich S. Stagakis et al. https://doi.org/10.5194/bg-22-2133-2025
- Spatiotemporal dynamics of vegetation NEP in the three-river source region: synergistic impacts of climate legacy effects and land-use change H. Kang et al. https://doi.org/10.1080/17538947.2026.2673620
- Short-term responses of urban forest carbon dynamics to combined heatwave and drought in subtropical China S. Yang et al. https://doi.org/10.1016/j.agrformet.2025.110728
- Simulating urban surface energy balance of an academic campus and surroundings in Mumbai, India M. Gupta et al. https://doi.org/10.1016/j.uclim.2024.102044
- Simulation of CO2 flux and evaluation of carbon neutrality potential at the neighborhood scale in Beijing with multi-source data W. Luo et al. https://doi.org/10.1016/j.accre.2025.06.008
11 citations as recorded by crossref.
- Contrasting the features and functionalities of urban microclimate simulation tools G. Vurro & S. Carlucci https://doi.org/10.1016/j.enbuild.2024.114042
- Flux-tower evaluation and LCZ-based application of SUEWS in a temperate monsoon city: A case study of Xiong’an new area J. Hua et al. https://doi.org/10.1016/j.buildenv.2025.113896
- Direct CO2 emissions and uptake at neighbourhood-scale across the urban area of Beijing Y. Zheng et al. https://doi.org/10.1016/j.cacint.2025.100252
- Quantifying interactive effects of people and built-environment on urban park cooling benefits, a case study of Shanghai B. Jin et al. https://doi.org/10.1016/j.scs.2026.107453
- Evaluation of the surface urban energy and water balance scheme (SUEWS) and its application in LCZs of the humid subtropical city Guangzhou Y. Gong et al. https://doi.org/10.1016/j.scs.2026.107507
- Carbon sequestration in different urban vegetation types in Southern Finland L. Thölix et al. https://doi.org/10.5194/bg-22-725-2025
- Intercomparison of biogenic CO2 flux models in four urban parks in the city of Zurich S. Stagakis et al. https://doi.org/10.5194/bg-22-2133-2025
- Spatiotemporal dynamics of vegetation NEP in the three-river source region: synergistic impacts of climate legacy effects and land-use change H. Kang et al. https://doi.org/10.1080/17538947.2026.2673620
- Short-term responses of urban forest carbon dynamics to combined heatwave and drought in subtropical China S. Yang et al. https://doi.org/10.1016/j.agrformet.2025.110728
- Simulating urban surface energy balance of an academic campus and surroundings in Mumbai, India M. Gupta et al. https://doi.org/10.1016/j.uclim.2024.102044
- Simulation of CO2 flux and evaluation of carbon neutrality potential at the neighborhood scale in Beijing with multi-source data W. Luo et al. https://doi.org/10.1016/j.accre.2025.06.008
Saved (final revised paper)
Latest update: 21 Jun 2026
Short summary
The performance of the Surface Urban Energy and Water Balance Scheme (SUEWS) is evaluated against the observed surface exchanges (fluxes) of heat and carbon dioxide in a densely built neighborhood in Beijing. The heat flux modeling is noticeably improved by using the observed maximum conductance and by optimizing the vegetation phenology modeling. SUEWS also performs well in simulating carbon dioxide flux.
The performance of the Surface Urban Energy and Water Balance Scheme (SUEWS) is evaluated...