Evaluation of the Urban Weather Generator on the City of Toulouse (France)
Source abstract
Abstract
This article addresses the simulation of urban air temperatures with a focus on evaluating the Urban Weather Generator (UWG) model over Toulouse, France. As urban temperatures, influenced by factors like urbanization, anthropogenic heat release, and complex urban geometry, exhibit an urban heat island (UHI) effect, understanding and mitigating UHI become crucial. With increasing global warming and urban populations, aiding urban planners necessitates accurate simulations requiring data at the canyon level. The paper evaluates UWG’s performance in simulating air temperatures under realistic conditions, emphasizing an operational context and a non-specialist user’s perspective. The evaluation includes selecting the most suitable meteorological station, assessing the impact of the rural station choice, and conducting a sensitivity analysis of input parameters. The validation demonstrates good agreement, with a mean bias error (MBE) of 0.02 °C and a root mean square error (RMSE) of 1.73 °C. However, we highlight the fact that UWG performs better in a densely urbanized area, and exhibits limitations in sensitivity to urban surface parameter variations, particularly in less urbanized areas.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Urban Heat Island Mitigation · Building Energy and Comfort Optimization · Wind and Air Flow Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Kermap, 1137a Av. des Champs Blancs, 35510 Cesson-Sévigné, France
Département Optique et Techniques Associées (DOTA), Office National d’études et de Recherches aéRospatiales (ONERA), Université de Toulouse, 2 Av. Edouard Belin BP74025, CEDEX 04, 31055 Toulouse, France
Centre National de la Recherche Scientifique (CNRS), UMR 6554 LETG, Campus Villejean, Maison de la Recherche, 6 Avenue Gaston Berger, 35000 Rennes, France
Funding
ANRT
References (68)
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1. Cleveland, C.J., and Ayres, R.U. (2004). Encyclopedia of Energy, Elsevier Academic Press.
2. Energy savings and thermal comfort in a zero energy office building with fans in Singapore10.1016/j.buildenv.2023.110674 ↗
3. Boranian, A.P., Zakirova, B., Sarvaiya, J.N., Jadhav, N.Y.J., Pawar, P.P., and Zhe, Z.Z. (2023, December 02). Building Energy Efficiency R&D Roadmap, Available online: https://www.nccs.gov.sg/files/docs/default-source/default-document-library/building-energy-efficiency-r-and-d-roadmap.pdf.
4. The International Energy Agency (2023, December 02). The Future of Cooling. Available online: https://www.iea.org/reports/the-future-of-cooling.
5. Outdoor human comfort and thermal stress: A comprehensive review on models and standards10.1016/j.uclim.2016.08.004 ↗
6. Urban building energy modeling (UBEM) tools: A state-of-the-art review of bottom-up physics-based approaches10.1016/j.scs.2020.102408 ↗
7. Design of an urban monitoring network based on Local Climate Zone mapping and temperature pattern modelling10.3354/cr01220 ↗
8. Designing sensor networks to resolve spatio-temporal urban temperature variations: Fixed, mobile or hybrid?10.1088/1748-9326/ab25f8 ↗
9. Urban heat island estimation from crowdsensing thermometers embedded in personal cars10.1175/BAMS-D-21-0174.1 ↗
10. Luo, X., and Peng, Y. (2016). Scale effects of the relationships between urban heat islands and impact factors based on a geographically-weighted regression model. Remote. Sens., 8.10.3390/rs8090760 ↗
11. Maximum nighttime urban heat island (UHI) intensity simulation by integrating remotely sensed data and meteorological observations
12. Impacts of tree and building shades on the urban heat island: Combining remote sensing, 3D digital city and spatial regression approaches10.1016/j.compenvurbsys.2021.101655 ↗
13. Urban heat island (UHI) intensity and magnitude estimations: A systematic literature review10.1016/j.scitotenv.2021.146389 ↗
14. A review of assessment methods for the urban environment and its energy sustainability to guarantee climate adaptation of future cities10.1016/j.rser.2019.06.005 ↗
15. Recent challenges in modeling of urban heat island10.1016/j.scs.2015.04.001 ↗
16. Jänicke, B., Milošević, D., and Manavvi, S. (2021). Review of user-friendly models to improve the urban micro-climate. Atmosphere, 12.10.3390/atmos12101291 ↗
17. A review on the CFD analysis of urban microclimate10.1016/j.rser.2017.05.248 ↗
18. EUReCA: An open-source urban building energy modelling tool for the efficient evaluation of cities energy demand10.1016/j.renene.2021.03.144 ↗
19. Microclimate and building energy consumption: Study of different coupling methods10.1080/17512549.2015.1043643 ↗
20. Thermo-radiative simulation of an urban district with LASER/F10.1016/j.uclim.2017.05.003 ↗
21. Description and assessment of the building surface temperature modeling in LASER/F10.1016/j.enbuild.2018.05.033 ↗
22. A physically-based scheme for the urban energy budget in atmospheric models10.1023/A:1002463829265 ↗
23. Inclusion of vegetation in the Town Energy Balance model for modelling urban green areas10.5194/gmd-5-1377-2012 ↗
24. SOLWEIG 1.0–modelling spatial variations of 3D radiant fluxes and mean radiant temperature in complex urban settings10.1007/s00484-008-0162-7 ↗
25. Robinson, D., Haldi, F., Leroux, P., Perez, D., Rasheed, A., and Wilke, U. (2009, January 27–30). CITYSIM: Comprehensive Micro-Simulation of Resource Flows for Sustainable Urban Planning. Proceedings of the International Building Performance Simulation Association, Glasgow, Scotland.
26. Walter, E., and Kämpf, J.H. (2015, January 4–6). A verification of CitySim results using the BESTEST and monitored consumption values. Proceedings of the Building Simulation Applications Conference, Berlin, Germany.
27. Simulating surface–plant–air interactions inside urban environments with a three dimensional numerical model10.1016/S1364-8152(98)00042-5 ↗
28. Massachusetts Institute of Technology (2023, December 02). Urban Weather Generator: Model Parameter Documentation. Available online: https://urbanmicroclimate.scripts.mit.edu/uwg_parameters.php#urbanArea.
29. The urban weather generator10.1080/19401493.2012.718797 ↗
30. Computationally efficient prediction of canopy level urban air temperature at the neighbourhood scale10.1016/j.uclim.2014.05.005 ↗
31. Nakano, A. (2015). Urban Weather Generator User Interface Development: Towards a Usable Tool for Integrating Urban Heat Island Effect within Urban Design Process. [Ph.D. Thesis, Massachusetts Institute of Technology]. Available online: https://dspace.mit.edu/handle/1721.1/99251.10.26868/25222708.2015.2909 ↗
32. Urban heat island prediction in the mediterranean context: An evaluation of the urban weather generator model
33. Alchapar, N.L., Pezzuto, C.C., Correa, E.N., and Salvati, A. (2019). Thermal performance of the Urban Weather Generator model as a tool for planning sustainable urban development. Geogr. Pannonica.
34. Bande, L., Afshari, A., Al Masri, D., Jha, M., Norford, L., Tsoupos, A., Marpu, P., Pasha, Y., and Armstrong, P. (2019). Validation of UWG and ENVI-Met Models in an Abu Dhabi District, Based on Site Measurements. Sustainability, 11.10.3390/su11164378 ↗
35. Yang, J.H. (2016). The Curious Case of Urban Heat Island: A Systems Analysis. [Ph.D. Thesis, Massachusetts Institute of Technology]. Available online: https://dspace.mit.edu/handle/1721.1/107347.
36. Dubreuil, V., Quénol, H., Foissard, X., and Planchon, O. (2011). Ville et Biodiversité: Les Enseignements D’une Recherche Pluridisciplinaire, Presses Universitaires de Rennes.
37. How relevant are local climate zones and urban climate zones for urban climate research? Dijon (France) as a case study10.1016/j.uclim.2018.10.002 ↗
38. Is Urban Heat Island intensity higher during hot spells and heat waves (Dijon, France, 2014–2019)?10.1016/j.uclim.2020.100747 ↗
39. Co-construction of climate services based on a weather stations network: Application in Toulouse agglomeration local authority10.1016/j.cliser.2021.100274 ↗
40. (2023, December 02). Toulouse Metropolis, Stations Météo en Place. Available online: https://data.toulouse-metropole.fr/explore/dataset/stations-meteo-en-place/map/?location=15,43.59931,1.45614&basemap=mapbox.satellite.
41. (2023, December 02). Meteo-France, Fiche Climatologique. Available online: https://donneespubliques.meteofrance.fr/FichesClim/FICHECLIM_31069001.pdf.
42. Dumas, G. (2022). Co-Construction d’un Réseau d’observation du Climat Urbain et de Services Climatiques Associés: Cas D’application sur la Métropole Toulousaine. [Ph.D. Thesis, Paul Sabatier University].
43. Local Climate Zones for Urban Temperature Studies10.1175/BAMS-D-11-00019.1 ↗
44. Maurel, W. (2019). Meteorological, soil data and surface turbulent fluxes—Meteopole station.
45. Calculation of Air Temperatures above the Urban Canopy Layer from Measurements at a Rural Operational Weather Station10.1175/JAMC-D-12-083.1 ↗
46. Global sensitivity analysis of an urban microclimate system under uncertainty: Design and case study10.1016/j.buildenv.2017.08.011 ↗
47. IGN (2023, December 02). BDTopo. Available online: https://geoservices.ign.fr/bdtopo.
48. IGN (2023, December 02). BDOrtho. Available online: https://geoservices.ign.fr/documentation/donnees/ortho/bdortho.
49. Lefebvre, A., Corpetti, T., Nabucet, J., and Hubert-Moy, L. (2017, January 6–8). Urban vegetation extraction with multi-angular Pléiades images. Proceedings of the Joint Urban Remote Sensing Event (JURSE), Dubai, United Arab Emirates.10.1109/JURSE.2017.7924624 ↗
50. Ronneberger, O., Fischer, P., and Brox, T. (2015, January 5–9). U-net: Convolutional networks for biomedical image segmentation. Proceedings of the International Conference on Medical image computing and computer-assisted intervention, Munich, Germany.10.1007/978-3-319-24574-4_28 ↗
51. Rouault, A. (2023, December 02). Cartographie de la Végétation Fine (Trame Arborée, Trame Herbacée) Pour les Années 2014 et 2019 sur le Territoire de la Ville de Toulouse. Available online: https://www.nosvillesvertes.fr/Explorer/vegetation-Toulouse-31555.
52. (2023, December 02). Ashrae, Climatic Data for Building Design Standards. Available online: https://www.ashrae.org/file%20library/technical%20resources/standards%20and%20guidelines/standards%20addenda/169_2020_a_20211029.pdf.
53. National Renewable Energy Laboratory NREL (2023, December 02). U.S. Department of Energy Commercial Reference Building Models of the National Building Stock, Available online: https://www.nrel.gov/docs/fy11osti/46861.pdf.
54. Quantification of the Influences of Wind and Cloud on the Nocturnal Urban Heat Island of a Large City10.1175/1520-0450(2001)040<0169:QOTIOW>2.0.CO;2 ↗
55. Andrea, S., Marco, R., Terry, A., Francesca, C., Jessica, C., Debora, G., Michaela, S., and Stefano, T. (2008). Global Sensitivity Analysis: The Primer, John Wiley & Sons.
56. Zhou, X., and Lin, H. (2008). Factorial Sampling Plans for Preliminary Computational Experiments. Encycl. GIS.
57. Factorial Sampling Plans for Preliminary Computational Experiments10.1080/00401706.1991.10484804 ↗
58. Hamdi, H., Roupioz, L., Corpetti, T., Briottet, X., and Lefebvre, A. (2023, January 17–19). Evaluation of Urban Weather Generator for air temperature and urban heat islands simulation over Toulouse (France). Proceedings of the 2023 Joint Urban Remote Sensing Event (JURSE), Heraklion, Greece.10.1109/JURSE57346.2023.10144216 ↗
59. Pardoe, I., Simon, L., and Young, D. (2023, December 02). Identifying Outliers (Unusual Y Values). Available online: https://online.stat.psu.edu/stat462/node/172/.
60. Lebras, J. (2015). Le Microclimat Urbain à Haute Résolution: Mesures et Modélisation. [Ph.D. Thesis, Université de Toulouse].
61. and Chaboureau, J.-P. and Masson, V. and Pinty, J.-P. and Tulet, P. and Escobar, J. and Leriche, M. and Barthe, C. and Aouizerats, B. and Augros, C. and Aumond, P. and Auguste, F. and Bechtold, P. and Berthet, S. et al. Overview of the Meso-NH model version 5.4 and its applications10.5194/gmd-11-1929-2018 ↗
62. The Vertical City Weather Generator (VCWG v1.3.2)10.5194/gmd-14-961-2021 ↗
63. Improvements, extensions, and validation of the Urban Weather Generator (UWG) for performance-oriented neighborhood planning10.1016/j.uclim.2022.101247 ↗
64. (2023, December 02). US Department of Energy, epw csv Format Inout. Available online: https://bigladdersoftware.com/epx/docs/8-2/auxiliary-programs/epw-csv-format-inout.html#data-records-csv.
65. Jia, H., and Chong, A. (2023, December 02). Read, and modify an EnergyPlus Weather File (EPW). Available online: https://hongyuanjia.github.io/eplusr/reference/Epw.html.
66. Dmitry Ugryumov (2023, December 02). ASHRAE Climate Design Conditions 2009/2013/2017. Available online: http://ashrae-meteo.info/v2.0.
67. US Department of Energy (2023, December 02). EnergyPlus Weather File (EPW) Data Dictionary, Available online: https://bigladdersoftware.com/epx/docs/8-2/auxiliary-programs/energyplus-weather-file-epw-data-dictionary.html#energyplus-weather-file-epw-data-dictionary.
68. Vasanthakumar, S., Mackey, C., and Dao, A. (2023, December 02). UWG. Available online: https://github.com/ladybug-tools/uwg.