Articles | Volume 17, issue 12
https://doi.org/10.5194/gmd-17-5023-2024
https://doi.org/10.5194/gmd-17-5023-2024
Model description paper
 | 
27 Jun 2024
Model description paper |  | 27 Jun 2024

WRF-Comfort: simulating microscale variability in outdoor heat stress at the city scale with a mesoscale model

Alberto Martilli, Negin Nazarian, E. Scott Krayenhoff, Jacob Lachapelle, Jiachen Lu, Esther Rivas, Alejandro Rodriguez-Sanchez, Beatriz Sanchez, and José Luis Santiago

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Cited articles

Borge, R., Santiago, J. L., de la Paz, D., Martín, F., Domingo, J., Valdés, C., Sánchez B., Rivas, E., Rozas, M. T., Lázaro, S., Pérez, J., and Fernández, A.: Application of a short term air quality action plan in Madrid (Spain) under a high-pollution episode-Part II: Assessment from multi-scale modelling, Sci. Total Environ., 635, 1574–1584, https://doi.org/10.1016/j.scitotenv.2018.04.323, 2018. 
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Broadbent, A. M., Krayenhoff, E. S., and Georgescu, M.: The motley drivers of heat and cold exposure in 21st century US cities, P. Natl. Acad. Sci. USA, 117, 21108–21117, https://doi.org/10.1073/pnas.2005492117, 2020. 
Brousse, O., Martilli, A., Foley, M., Mills, G., and Bechtel, B.: WUDAPT, an efficient land use producing data tool for mesoscale models? Integration of urban LCZ in WRF over Madrid, Urban Clim., 17, 116–134, https://doi.org/10.1016/j.uclim.2016.04.001, 2016. 
Brown, M. J., Lawson, R. E., DeCroix, D. S., and Lee, R. L.: Comparison of centerline velocity measurements obtained around 2D and 3D building arrays in a wind tunnel, Int. 40 Soc. Environ. Hydraulics, Tempe, AZ, 5, 495, OSTI ID: 783425, https://digital.library.unt.edu/ark:/67531/metadc716934/m2/1/high_res_d/783425.pdf (last access: 25 June 2024), 2001 
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Short summary
Here, we present a model that quantifies the thermal stress and its microscale variability at a city scale with a mesoscale model. This tool can have multiple applications, from early warnings of extreme heat to the vulnerable population to the evaluation of the effectiveness of heat mitigation strategies. It is the first model that includes information on microscale variability in a mesoscale model, something that is essential for fully evaluating heat stress.
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