Articles | Volume 15, issue 7
https://doi.org/10.5194/gmd-15-3041-2022
© 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/gmd-15-3041-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
08 Apr 2022
Development and technical paper |
| 08 Apr 2022
| 08 Apr 2022
Surface Urban Energy and Water Balance Scheme (v2020a) in vegetated areas: parameter derivation and performance evaluation using FLUXNET2015 dataset
Hamidreza Omidvar
Department of Meteorology, University of Reading, Reading, RG6 6ET, UK
Department of Meteorology, University of Reading, Reading, RG6 6ET, UK
Department of Meteorology, University of Reading, Reading, RG6 6ET, UK
Dave Bilesbach
Biological Systems Engineering Department, University of Nebraska, Lincoln, NE, 68588, USA
Andrew Black
Faculty of Land and Food System, University of British Columbia, Vancouver, BC, V6T 1Z4, CA
Jiquan Chen
Center for Global Change and Earth Observation, Department of Geography, Michigan State University, East Lansing, MI, 48824, USA
Zexia Duan
Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Zhiqiu Gao
Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, 210044, China
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
Hiroki Iwata
Department of Environmental Science, Faculty of Science, Shinshu University, Nagano 390-8621, Japan
Joseph P. McFadden
Department of Geography, University of California, Santa Barbara, CA, 93106, USA
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Cited
10 citations as recorded by crossref.
- Simulating heat and CO2 fluxes in Beijing using SUEWS V2020b: sensitivity to vegetation phenology and maximum conductance Y. Zheng et al. 10.5194/gmd-16-4551-2023
- WRF (v4.0)–SUEWS (v2018c) coupled system: development, evaluation and application T. Sun et al. 10.5194/gmd-17-91-2024
- Barriers to urban hydrometeorological simulation: a review X. Chen et al. 10.5194/hess-29-3447-2025
- Could residential air-source heat pumps exacerbate outdoor summer overheating and winter overcooling in UK 2050s climate scenarios? X. Xie et al. 10.1016/j.scs.2024.105811
- 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. 10.1016/j.buildenv.2025.113896
- Evaluation of vertically resolved longwave radiation in SPARTACUS-Urban 0.7.3 and the sensitivity to urban surface temperatures M. Stretton et al. 10.5194/gmd-16-5931-2023
- Simulating urban surface energy balance of an academic campus and surroundings in Mumbai, India M. Gupta et al. 10.1016/j.uclim.2024.102044
- Evaluation of surface urban energy and water balance scheme (SUEWS) using scaled 2D model experiments under various seasons and sky conditions J. Hang et al. 10.1016/j.uclim.2024.101851
- Direct CO2 emissions and uptake at neighbourhood-scale across the urban area of Beijing Y. Zheng et al. 10.1016/j.cacint.2025.100252
- Comparison of Ecohydrological and Climatological Zoning of the Cities: Case Study of the City of Pilsen J. Kopp et al. 10.3390/ijgi10050350
9 citations as recorded by crossref.
- Simulating heat and CO2 fluxes in Beijing using SUEWS V2020b: sensitivity to vegetation phenology and maximum conductance Y. Zheng et al. 10.5194/gmd-16-4551-2023
- WRF (v4.0)–SUEWS (v2018c) coupled system: development, evaluation and application T. Sun et al. 10.5194/gmd-17-91-2024
- Barriers to urban hydrometeorological simulation: a review X. Chen et al. 10.5194/hess-29-3447-2025
- Could residential air-source heat pumps exacerbate outdoor summer overheating and winter overcooling in UK 2050s climate scenarios? X. Xie et al. 10.1016/j.scs.2024.105811
- 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. 10.1016/j.buildenv.2025.113896
- Evaluation of vertically resolved longwave radiation in SPARTACUS-Urban 0.7.3 and the sensitivity to urban surface temperatures M. Stretton et al. 10.5194/gmd-16-5931-2023
- Simulating urban surface energy balance of an academic campus and surroundings in Mumbai, India M. Gupta et al. 10.1016/j.uclim.2024.102044
- Evaluation of surface urban energy and water balance scheme (SUEWS) using scaled 2D model experiments under various seasons and sky conditions J. Hang et al. 10.1016/j.uclim.2024.101851
- Direct CO2 emissions and uptake at neighbourhood-scale across the urban area of Beijing Y. Zheng et al. 10.1016/j.cacint.2025.100252
1 citations as recorded by crossref.
Latest update: 31 Oct 2025
Short summary
This paper extends the applicability of the SUEWS to extensive pervious areas outside cities. We derived various parameters such as leaf area index, albedo, roughness parameters and surface conductance for non-urban areas. The relation between LAI and albedo is also explored. The methods and parameters discussed can be used for both online and offline simulations. Using appropriate parameters related to non-urban areas is essential for assessing urban–rural differences.
This paper extends the applicability of the SUEWS to extensive pervious areas outside cities. We...
