Articles | Volume 12, issue 7
https://doi.org/10.5194/gmd-12-2781-2019
© Author(s) 2019. 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-12-2781-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
09 Jul 2019
Development and technical paper |
| 09 Jul 2019
| 09 Jul 2019
A Python-enhanced urban land surface model SuPy (SUEWS in Python, v2019.2): development, deployment and demonstration
Department of Meteorology, University of Reading, Reading, RG6 6BB,
UK
Department of Meteorology, University of Reading, Reading, RG6 6BB,
UK
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Cited
22 citations as recorded by crossref.
- High resolution modeling of the impact of urbanization and green infrastructure on the water and energy balance R. Wiegels et al. 10.1016/j.uclim.2021.100961
- Carbon sequestration potential of street tree plantings in Helsinki M. Havu et al. 10.5194/bg-19-2121-2022
- Human heat health index (H3I) for holistic assessment of heat hazard and mitigation strategies beyond urban heat islands H. Kamath et al. 10.1016/j.uclim.2023.101675
- 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
- Monitoring and Evaluating Nature-Based Solutions Implementation in Urban Areas by Means of Earth Observation N. Chrysoulakis et al. 10.3390/rs13081503
- High-resolution multi-scaling of outdoor human thermal comfort and its intra-urban variability based on machine learning F. Briegel et al. 10.5194/gmd-17-1667-2024
- Improvement of Drag Coefficient Calculation Under Near‐Neutral Conditions in Light Winds Over land C. Liu et al. 10.1029/2020JD033472
- High‐Resolution Land Surface Modeling of the Effect of Long‐Term Urbanization on Hydrothermal Changes Over Beijing Metropolitan Area P. Ji et al. 10.1029/2021JD034787
- Dynamic Anthropogenic activitieS impacting Heat emissions (DASH v1.0): development and evaluation I. Capel-Timms et al. 10.5194/gmd-13-4891-2020
- Impact of urban canopy physics and detailed urban canopy parameters on high-resolution simulation over two large urban agglomerations in China X. Ao et al. 10.1016/j.uclim.2024.101922
- Assessment methods of urban microclimate and its parameters: A critical review to take the research from lab to land H. Bherwani et al. 10.1016/j.uclim.2020.100690
- Urban storage heat flux variability explored using satellite, meteorological and geodata F. Lindberg et al. 10.1007/s00704-020-03189-1
- 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
- An <i>N</i>-dimensional Fortran interpolation programme (NterGeo.v2020a) for geophysics sciences – application to a back-trajectory programme (Backplumes.v2020r1) using CHIMERE or WRF outputs B. Bessagnet et al. 10.5194/gmd-14-91-2021
- Spatial Modeling of Local‐Scale Biogenic and Anthropogenic Carbon Dioxide Emissions in Helsinki L. Järvi et al. 10.1029/2018JD029576
- Surface Urban Energy and Water Balance Scheme (v2020a) in vegetated areas: parameter derivation and performance evaluation using FLUXNET2015 dataset H. Omidvar et al. 10.5194/gmd-15-3041-2022
- Analysis of road traffic speed in Kunming plateau mountains: a fusion PSO-LSTM algorithm Y. Mao et al. 10.1080/12265934.2021.1882331
- Solar building envelope potential in urban environments: A state-of-the-art review of assessment methods and framework H. Zhao et al. 10.1016/j.buildenv.2023.110831
- Multi-objective optimization of urban environmental system design using machine learning P. Li et al. 10.1016/j.compenvurbsys.2022.101796
- Impact of building density on natural ventilation potential and cooling energy saving across Chinese climate zones X. Xie et al. 10.1016/j.buildenv.2023.110621
- Four-decade response of land surface temperature to urban expansion in Beijing Y. Wang et al. 10.1016/j.agrformet.2023.109653
22 citations as recorded by crossref.
- High resolution modeling of the impact of urbanization and green infrastructure on the water and energy balance R. Wiegels et al. 10.1016/j.uclim.2021.100961
- Carbon sequestration potential of street tree plantings in Helsinki M. Havu et al. 10.5194/bg-19-2121-2022
- Human heat health index (H3I) for holistic assessment of heat hazard and mitigation strategies beyond urban heat islands H. Kamath et al. 10.1016/j.uclim.2023.101675
- 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
- Monitoring and Evaluating Nature-Based Solutions Implementation in Urban Areas by Means of Earth Observation N. Chrysoulakis et al. 10.3390/rs13081503
- High-resolution multi-scaling of outdoor human thermal comfort and its intra-urban variability based on machine learning F. Briegel et al. 10.5194/gmd-17-1667-2024
- Improvement of Drag Coefficient Calculation Under Near‐Neutral Conditions in Light Winds Over land C. Liu et al. 10.1029/2020JD033472
- High‐Resolution Land Surface Modeling of the Effect of Long‐Term Urbanization on Hydrothermal Changes Over Beijing Metropolitan Area P. Ji et al. 10.1029/2021JD034787
- Dynamic Anthropogenic activitieS impacting Heat emissions (DASH v1.0): development and evaluation I. Capel-Timms et al. 10.5194/gmd-13-4891-2020
- Impact of urban canopy physics and detailed urban canopy parameters on high-resolution simulation over two large urban agglomerations in China X. Ao et al. 10.1016/j.uclim.2024.101922
- Assessment methods of urban microclimate and its parameters: A critical review to take the research from lab to land H. Bherwani et al. 10.1016/j.uclim.2020.100690
- Urban storage heat flux variability explored using satellite, meteorological and geodata F. Lindberg et al. 10.1007/s00704-020-03189-1
- 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
- An <i>N</i>-dimensional Fortran interpolation programme (NterGeo.v2020a) for geophysics sciences – application to a back-trajectory programme (Backplumes.v2020r1) using CHIMERE or WRF outputs B. Bessagnet et al. 10.5194/gmd-14-91-2021
- Spatial Modeling of Local‐Scale Biogenic and Anthropogenic Carbon Dioxide Emissions in Helsinki L. Järvi et al. 10.1029/2018JD029576
- Surface Urban Energy and Water Balance Scheme (v2020a) in vegetated areas: parameter derivation and performance evaluation using FLUXNET2015 dataset H. Omidvar et al. 10.5194/gmd-15-3041-2022
- Analysis of road traffic speed in Kunming plateau mountains: a fusion PSO-LSTM algorithm Y. Mao et al. 10.1080/12265934.2021.1882331
- Solar building envelope potential in urban environments: A state-of-the-art review of assessment methods and framework H. Zhao et al. 10.1016/j.buildenv.2023.110831
- Multi-objective optimization of urban environmental system design using machine learning P. Li et al. 10.1016/j.compenvurbsys.2022.101796
- Impact of building density on natural ventilation potential and cooling energy saving across Chinese climate zones X. Xie et al. 10.1016/j.buildenv.2023.110621
- Four-decade response of land surface temperature to urban expansion in Beijing Y. Wang et al. 10.1016/j.agrformet.2023.109653
Latest update: 29 Jun 2024
Short summary
A Python-enhanced urban land surface model, SuPy (SUEWS in Python), is presented with its development (the SUEWS interface modification, F2PY configuration and Python frontend implementation), cross-platform deployment (PyPI, Python Package Index) and demonstration (online tutorials in Jupyter notebooks for users of different levels). SuPy represents a significant enhancement that supports existing and new model applications, reproducibility and enhanced functionality.
A Python-enhanced urban land surface model, SuPy (SUEWS in Python), is presented with its...
