Articles | Volume 11, issue 10
https://doi.org/10.5194/gmd-11-4175-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-11-4175-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
16 Oct 2018
Development and technical paper |
| 16 Oct 2018
| 16 Oct 2018
Improvements to the hydrological processes of the Town Energy Balance model (TEB-Veg, SURFEX v7.3) for urban modelling and impact assessment
Xenia Stavropulos-Laffaille
CORRESPONDING AUTHOR
IFSTTAR, GERS, EE, 44344 Bouguenais, France
Katia Chancibault
IFSTTAR, GERS, EE, 44344 Bouguenais, France
Jean-Marc Brun
IFSTTAR, GERS, EE, 44344 Bouguenais, France
Aude Lemonsu
CNRM UMR 3589, Météo-France/CNRS, Toulouse, 31057 Toulouse
CEDEX 1, France
Valéry Masson
CNRM UMR 3589, Météo-France/CNRS, Toulouse, 31057 Toulouse
CEDEX 1, France
Aaron Boone
CNRM UMR 3589, Météo-France/CNRS, Toulouse, 31057 Toulouse
CEDEX 1, France
Hervé Andrieu
IFSTTAR, GERS, EE, 44344 Bouguenais, France
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Cited
17 citations as recorded by crossref.
- Benchmarking a new urban scheme in the ORCHIDEE 2.2 land surface model M. Lalonde et al. https://doi.org/10.5194/gmd-19-9463-2026
- Multi-objective optimization of urban environmental system design using machine learning P. Li et al. https://doi.org/10.1016/j.compenvurbsys.2022.101796
- Unraveling the intractable trilemma in urban weather and climate modeling P. Li et al. https://doi.org/10.1038/s42949-026-00388-z
- Dépasser le développement d’expertise locale en climatologie urbaine pour accélérer et élargir sa prise en compte dans les politiques de gestion de la surchauffe urbaine J. Hidalgo https://doi.org/10.1051/climat/202320003
- Long-term observatory of groundwater, soil moisture and rainfall in a French urban catchment L. Pineau et al. https://doi.org/10.1038/s41597-026-07384-z
- Water balance scheme development for urban modelling C. Meng https://doi.org/10.1016/j.uclim.2021.100843
- COSMO-BEP-Tree v1.0: a coupled urban climate model with explicit representation of street trees G. Mussetti et al. https://doi.org/10.5194/gmd-13-1685-2020
- Between progress and obstacles in urban climate interdisciplinary studies and knowledge transfer to society J. Hidalgo et al. https://doi.org/10.1111/nyas.13986
- Coupling detailed urban energy and water budgets with TEB-Hydro model: Towards an assessment tool for nature based solution performances X. Stavropulos-Laffaille et al. https://doi.org/10.1016/j.uclim.2021.100925
- Street-level temperature estimation using graph neural networks: Performance, feature embedding and interpretability Y. Yu et al. https://doi.org/10.1016/j.uclim.2024.102003
- Modeling carbon dioxide exchange in a single-layer urban canopy model P. Li & Z. Wang https://doi.org/10.1016/j.buildenv.2020.107243
- Barriers to urban hydrometeorological simulation: a review X. Chen et al. https://doi.org/10.5194/hess-29-3447-2025
- Integrated urban services: Experience from four cities on different continents A. Baklanov et al. https://doi.org/10.1016/j.uclim.2020.100610
- Physically consistent conceptual rainfall–runoff model for urbanized catchments M. Saadi et al. https://doi.org/10.1016/j.jhydrol.2021.126394
- Urban surface modeling using town energy balance model: A review O. Ait Rami et al. https://doi.org/10.1051/e3sconf/202567502006
- How to evaluate nature-based solutions performance for microclimate, water and soil management issues – Available tools and methods from Nature4Cities European project results R. Bouzouidja et al. https://doi.org/10.1016/j.ecolind.2021.107556
- An urban ecohydrological model to quantify the effect of vegetation on urban climate and hydrology (UT&C v1.0) N. Meili et al. https://doi.org/10.5194/gmd-13-335-2020
17 citations as recorded by crossref.
- Benchmarking a new urban scheme in the ORCHIDEE 2.2 land surface model M. Lalonde et al. https://doi.org/10.5194/gmd-19-9463-2026
- Multi-objective optimization of urban environmental system design using machine learning P. Li et al. https://doi.org/10.1016/j.compenvurbsys.2022.101796
- Unraveling the intractable trilemma in urban weather and climate modeling P. Li et al. https://doi.org/10.1038/s42949-026-00388-z
- Dépasser le développement d’expertise locale en climatologie urbaine pour accélérer et élargir sa prise en compte dans les politiques de gestion de la surchauffe urbaine J. Hidalgo https://doi.org/10.1051/climat/202320003
- Long-term observatory of groundwater, soil moisture and rainfall in a French urban catchment L. Pineau et al. https://doi.org/10.1038/s41597-026-07384-z
- Water balance scheme development for urban modelling C. Meng https://doi.org/10.1016/j.uclim.2021.100843
- COSMO-BEP-Tree v1.0: a coupled urban climate model with explicit representation of street trees G. Mussetti et al. https://doi.org/10.5194/gmd-13-1685-2020
- Between progress and obstacles in urban climate interdisciplinary studies and knowledge transfer to society J. Hidalgo et al. https://doi.org/10.1111/nyas.13986
- Coupling detailed urban energy and water budgets with TEB-Hydro model: Towards an assessment tool for nature based solution performances X. Stavropulos-Laffaille et al. https://doi.org/10.1016/j.uclim.2021.100925
- Street-level temperature estimation using graph neural networks: Performance, feature embedding and interpretability Y. Yu et al. https://doi.org/10.1016/j.uclim.2024.102003
- Modeling carbon dioxide exchange in a single-layer urban canopy model P. Li & Z. Wang https://doi.org/10.1016/j.buildenv.2020.107243
- Barriers to urban hydrometeorological simulation: a review X. Chen et al. https://doi.org/10.5194/hess-29-3447-2025
- Integrated urban services: Experience from four cities on different continents A. Baklanov et al. https://doi.org/10.1016/j.uclim.2020.100610
- Physically consistent conceptual rainfall–runoff model for urbanized catchments M. Saadi et al. https://doi.org/10.1016/j.jhydrol.2021.126394
- Urban surface modeling using town energy balance model: A review O. Ait Rami et al. https://doi.org/10.1051/e3sconf/202567502006
- How to evaluate nature-based solutions performance for microclimate, water and soil management issues – Available tools and methods from Nature4Cities European project results R. Bouzouidja et al. https://doi.org/10.1016/j.ecolind.2021.107556
- An urban ecohydrological model to quantify the effect of vegetation on urban climate and hydrology (UT&C v1.0) N. Meili et al. https://doi.org/10.5194/gmd-13-335-2020
Saved (final revised paper)
Latest update: 13 Oct 2026
Short summary
Integrating vegetation in urban planning is promoted to counter steer potential impacts of climate and demographic changes. Assessing the multiple benefits of such strategies on the urban microclimate requires a detailed coupling of both the water and energy transfers in numerical tools. In this respect, the representation of water-related processes in the urban subsoil of the existing model TEB-Veg has been improved. The new model thus allows a better evaluation of urban adaptation strategies.
Integrating vegetation in urban planning is promoted to counter steer potential impacts of...
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