Articles | Volume 13, issue 3
https://doi.org/10.5194/gmd-13-1685-2020
https://doi.org/10.5194/gmd-13-1685-2020
Development and technical paper
 | 
01 Apr 2020
Development and technical paper |  | 01 Apr 2020

COSMO-BEP-Tree v1.0: a coupled urban climate model with explicit representation of street trees

Gianluca Mussetti, Dominik Brunner, Stephan Henne, Jonas Allegrini, E. Scott Krayenhoff, Sebastian Schubert, Christian Feigenwinter, Roland Vogt, Andreas Wicki, and Jan Carmeliet

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Cited articles

Abreu, L. and Anderson, G.: The MODTRAN 2/3 report and LOWTRAN 7 model, Contract, 19628, 0132, Phillips Laboratory, 1996. a
Allen, L., Lindberg, F., and Grimmond, C.: Global to city scale urban anthropogenic heat flux: model and variability, Int. J. Climatol., 31, 1990–2005, https://doi.org/10.1002/joc.2210, 2011. a
Alonzo, M., Bookhagen, B., and Roberts, D. A.: Urban tree species mapping using hyperspectral and lidar data fusion, Remote Sens. Environ., 148, 70–83, https://doi.org/10.1016/j.rse.2014.03.018, 2014. a, b
Alonzo, M., Bookhagen, B., McFadden, J. P., Sun, A., and Roberts, D. A.: Mapping urban forest leaf area index with airborne lidar using penetration metrics and allometry, Remote Sens. Environ., 162, 141–153, https://doi.org/10.1016/j.rse.2015.02.025, 2015. a
Armson, D., Stringer, P., and Ennos, A.: The effect of tree shade and grass on surface and globe temperatures in an urban area, Urban For. Urban Gree., 11, 245–255, https://doi.org/10.1016/j.ufug.2012.05.002, 2012. a, b
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Street trees are regarded as a powerful measure to reduce excessive heat in cities. To enable city-wide studies of the cooling effect of street trees, we developed a coupled urban climate model with explicit representation of street trees (COSMO-BEP-Tree). The model compares well with surface, flux and satellite observations and responds realistically to changes in tree characteristics. Street trees largely impact energy fluxes and wind speed, while air temperatures are only slightly reduced.