Articles | Volume 19, issue 13
https://doi.org/10.5194/gmd-19-6001-2026
© Author(s) 2026. 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-19-6001-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
08 Jul 2026
Model evaluation paper |
| 08 Jul 2026
| 08 Jul 2026
Evaluating the radiative fidelity of WRF-driven PALM (v25.04) in high-resolution using RTM: impact of diverse urban morphology and vegetation on short-wave radiation
Jelena Radović
CORRESPONDING AUTHOR
Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University Prague, V Holešovičkách 2, 180 00 Prague 8, Czech Republic
Michal Belda
Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University Prague, V Holešovičkách 2, 180 00 Prague 8, Czech Republic
Martin Bureš
Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Pod Vodárenskou věží 271/2, 182 00 Prague, Czech Republic
Kryštof Eben
Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Pod Vodárenskou věží 271/2, 182 00 Prague, Czech Republic
Jan Geletič
Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University Prague, V Holešovičkách 2, 180 00 Prague 8, Czech Republic
Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Pod Vodárenskou věží 271/2, 182 00 Prague, Czech Republic
Jakub Jura
Department of Instrumentation and Control Engineering, Faculty of Mechanical Engineering, Czech Technical University in Prague, Technická 4, 166 07 Praha 6, Czech Republic
Pavel Krč
Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Pod Vodárenskou věží 271/2, 182 00 Prague, Czech Republic
Hynek Řezníček
Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Pod Vodárenskou věží 271/2, 182 00 Prague, Czech Republic
Jaroslav Resler
Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Pod Vodárenskou věží 271/2, 182 00 Prague, Czech Republic
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Cited articles
Aminipouri, M., Knudby, A. J., Krayenhoff, E. S., Zickfeld, K., and Middel, A.: Modelling the impact of increased street tree cover on mean radiant temperature across Vancouver’s local climate zones, Urban For. Urban Gree., 39, 9–17, https://doi.org/10.1016/j.ufug.2019.01.016, 2019. a
Aoyagi, T. and Takahashi, S.: Development of an Urban Multilayer Radiation Scheme and Its Application to the Urban Surface Warming Potential, Bound.-Lay. Meteorol., 142, 305–328, https://doi.org/10.1007/s10546-011-9679-0, 2012. a
Baklanov, A., Grimmond, C. S. B., Carlson, D., Terblanche, D., Tang, X., Bouchet, V., Lee, B., Langendijk, G., Kolli, R. K., and Hovsepyan, A.: From urban meteorology, climate and environment research to integrated city services, Urban Clim., 23, 330–341, https://doi.org/10.1016/j.uclim.2017.05.004, 2018. a
Belda, M., Resler, J., Geletič, J., Krč, P., Maronga, B., Sühring, M., Kurppa, M., Kanani-Sühring, F., Fuka, V., Eben, K., Benešová, N., and Auvinen, M.: Sensitivity analysis of the PALM model system 6.0 in the urban environment, Geosci. Model Dev., 14, 4443–4464, https://doi.org/10.5194/gmd-14-4443-2021, 2021. a
Blocken, B.: Computational Fluid Dynamics for urban physics: Importance, scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simulations, Build. Environ., 91, 219–245, https://doi.org/10.1016/j.buildenv.2015.02.015, 2015. a
Blocken, B.: LES over RANS in building simulation for outdoor and indoor applications: A foregone conclusion?, Build. Simul., 11, 821–870, https://doi.org/10.1007/s12273-018-0459-3, 2018. a
Bougeault, P. and Lacarrere, P.: Parameterization of Orography-Induced Turbulence in a Mesobeta–Scale Model, Mon. Weather Rev., 117, 1872–1890, https://doi.org/10.1175/1520-0493(1989)117<1872:POOITI>2.0.CO;2, 1989. a
Bruse, M., Simon, H., and Sinsel, T.: Development and implementation of a high-resolution dynamical wall and roof model for ENVI-met. Part 1: General model design and non-vegetated walls and roofs, ENVI-met, https://doi.org/10.13140/RG.2.2.29309.95207, 2023a. a, b
Bruse, M., Simon, H., and Sinsel, T.: Development and implementation of a high-resolution dynamical wall and roof model for ENVI-met. Part 2: Vegetated walls and roofs, ENVI-met, https://doi.org/10.13140/RG.2.2.36020.83842, 2023b. a, b
Chen, L., Yu, B., Yang, F., and Mayer, H.: Intra-urban differences of mean radiant temperature in different urban settings in Shanghai and implications for heat stress under heat waves: A GIS-based approach, Energ. Build., 130, 829–842, https://doi.org/10.1016/j.enbuild.2016.09.014, 2016. a
Chen, T., Pan, H., Lu, M., Hang, J., Lam, C. K. C., Yuan, C., and Pearlmutter, D.: Effects of tree plantings and aspect ratios on pedestrian visual and thermal comfort using scaled outdoor experiments, Sci.Total Environ., 801, 149527, https://doi.org/10.1016/j.scitotenv.2021.149527, 2021. a
Clough, S., Shephard, M., Mlawer, E., Delamere, J., Iacono, M., Cady-Pereira, K., Boukabara, S., and Brown, P.: Atmospheric radiative transfer modeling: a summary of the AER codes, J. Quant. Spectrosc. Ra., 91, 233–244, https://doi.org/10.1016/j.jqsrt.2004.05.058, 2005. a
Dirksen, M., Ronda, R., Theeuwes, N., and Pagani, G.: Sky view factor calculations and its application in urban heat island studies, Urban Clim., 30, 100498, https://doi.org/10.1016/j.uclim.2019.100498, 2019. a
Dudhia, J.: Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model, J. Atmos. Sci., 46, 3077–3107, https://doi.org/10.1016/j.uclim.2019.100498, 1989. a
Fanger, P. O.: Calculation of thermal comfort: Introduction of a basic comfort equation, ASHRAE T., 73, III4.1–III4.20, 1967. a
Freitas, S., Catita, C., Redweik, P., and Brito, M. C.: Modelling solar potential in the urban environment: State-of-the-art review, Renew. Sust. Energ. Rev., 41, 915–931, https://doi.org/10.1016/j.rser.2014.08.060, 2015. a
Fröhlich, D. and Matzarakis, A.: Spatial Estimation of Thermal Indices in Urban Areas – Basics of the SkyHelios Model, Atmosphere, 9, 209, https://doi.org/10.3390/atmos9060209, 2018. a
Fröhlich, D., Gangwisch, M., and Matzarakis, A.: Effect of radiation and wind on thermal comfort in urban environments - Application of the RayMan and SkyHelios model, Urban Clim., 27, 1–7, https://doi.org/10.1016/j.uclim.2018.10.006, 2019. a, b
Gál, C. V. and Kántor, N.: Modeling mean radiant temperature in outdoor spaces, A comparative numerical simulation and validation study, Urban Clim., 32, 100571, https://doi.org/10.1016/j.uclim.2019.100571, 2020. a, b
Gehrke, K. F., Sühring, M., and Maronga, B.: Modeling of land–surface interactions in the PALM model system 6.0: land surface model description, first evaluation, and sensitivity to model parameters, Geosci. Model Dev., 14, 5307–5329, https://doi.org/10.5194/gmd-14-5307-2021, 2021. a
Geletič, J., Lehnert, M., Resler, J., Krč, P., Middel, A., Krayenhoff, E., and Krüger, E.: High-fidelity simulation of the effects of street trees, green roofs and green walls on the distribution of thermal exposure in Prague-Dejvice, Build. Environ., 223, 109484, https://doi.org/10.1016/j.buildenv.2022.109484, 2022. a
Geletič, J., Lehnert, M., Resler, J., Krč, P., Bureš, M., Urban, A., and Krayenhoff, E.: Heat exposure variations and mitigation in a densely populated neighborhood during a hot day: Towards a people-oriented approach to urban climate management, Build. Environ., 242, 110564, https://doi.org/10.1016/j.buildenv.2023.110564, 2023. a
Geletič, J., Lehnert, M., Krč, P., Resler, J., and Krayenhoff, E.: High-Resolution Modelling of Thermal Exposure during a Hot Spell: A Case Study Using PALM-4U in Prague, Czech Republic, Atmosphere, 12, 175, https://doi.org/10.3390/atmos12020175, 2021. a
Grylls, T. and van Reeuwijk, M.: How trees affect urban air quality: It depends on the source, Atmos. Environ., 290, 119275, https://doi.org/10.1016/j.atmosenv.2022.119275, 2022. a
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, J. R., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020. a
Hogan, R. J. and Bozzo, A.: A Flexible and Efficient Radiation Scheme for the ECMWF Model, J. Adv. Model. Earth Sy., 10, 1990–2008, https://doi.org/10.1029/2018MS001364, 2018. a
Holtanová, E., Belda, M., Randriatsara, H., Szabó, A. I., and Halenka, T.: Scenarios of Köppen-Trewartha climate types in Europe based on GCM-RCM combined projections, Theor. Appl. Climatol., 156, https://doi.org/10.1007/s00704-025-05806-3, 2025. a
Höppe, P. R.: The physiological equivalent temperature – a universal index for the biometeorological assessment of the thermal environment, Int. J. Biometeorol., 43, 71–75, https://doi.org/10.1007/s004840050118, 1999. a
Iacono, M. J., Delamere, J. S., Mlawer, E. J., Shephard, M. W., Clough, S. A., and Collins, W. D.: Radiative forcing by long-lived greenhouse gases: Calculations with the AER radiative transfer models, J. Geophys. Res.-Atmos., 113, https://doi.org/10.1029/2008JD009944, 2008. a, b, c, d
Jänicke, B., Meier, F., Hoelscher, M., and Scherer, D.: Evaluating the effects of façade greening on human bioclimate in a complex urban environment, Adv. Meteorol., 14, 747259, https://doi.org/10.1155/2015/747259, 2015. a, b
Jakub, F. and Mayer, B.: 3-D radiative transfer in large-eddy simulations – experiences coupling the TenStream solver to the UCLA-LES, Geosci. Model Dev., 9, 1413–1422, https://doi.org/10.5194/gmd-9-1413-2016, 2016. a
Jendritzky, G., de Dear, R., and Havenith, G.: UTCI – Why another thermal index?, Int. J. Biometeorol., 56, 421–428, https://doi.org/10.1007/s00484-011-0513-7, 2012. a
Jimenez, P. A., Dudhia, J., Gonzalez–Rouco, J. F., Navarro, J., Montavez, J. P., and Garcia–Bustamante, E.: A revised scheme for the WRF surface layer formulation, Mon. Weather Rev., 140, 898–918, https://doi.org/10.1175/MWR-D-11-00056.1, 2012. a, b
Jura, J., Novák, M., Bíla, J., Pokorný, J., and Jirka, V.: Hydrometeorological measurements to assess the effect of vegetation on urban microclimate, in: 2018 Smart City Symposium Prague, 1–5, https://doi.org/10.1109/SCSP.2018.8402653, 2018. a, b, c
Kadasch, E., Sühring, M., Gronemeier, T., and Raasch, S.: Mesoscale nesting interface of the PALM model system 6.0, Geosci. Model Dev., 14, 5435–5465, https://doi.org/10.5194/gmd-14-5435-2021, 2021. a
Kántor, N., Gál, C., Gulyás, Á., and Unger, J.: The impact of façade orientation and woody vegetation on summertime heat stress patterns in a central European square: comparison of radiation measurements and simulations, Adv. Meteorol., 2650642, https://doi.org/10.1155/2018/2650642, 2018. a
Krč, P., Belda, M., Bureš, M., Eben, K., Geletič, J., Radović, J., Řezníček, H., and Resler, J.: PALM-meteo 2.8: Processor of PALM meteorological input data, Geosci. Model Dev., 19, 4071–4093, https://doi.org/10.5194/gmd-19-4071-2026, 2026. a
Kubilay, A., Allegrini, J., Strebel, D., Zhao, Y., Derome, D., and Carmeliet, J.: Advancement in Urban Climate Modelling at Local Scale: Urban Heat Island Mitigation and Building Cooling Demand, Atmosphere, 11, https://doi.org/10.3390/atmos11121313, 2020. a
Kusaka, H., Ikeda, R., Sato, T., Iizuka, S., and Boku, T.: Development of a Multi-Scale Meteorological Large-Eddy Simulation Model for Urban Thermal Environmental Studies: The “City-LES” Model Version 2.0, J. Adv. Model. Earth Sy., 16, e2024MS004367, https://doi.org/10.1029/2024MS004367, 2024. a, b
Lee, H., Mayer, H., and Schindler, D.: Importance of 3-D radiant flux densities for outdoor human thermal comfort on clear-sky summer days in Freiburg, Southwest Germany, Meteorol. Z., 23, 315–330, https://doi.org/10.1127/0941-2948/2014/0536, 2014. a
Lehnert, M., Pánek, J., Kopp, J., Geletič, J., Květoňová, V., and Jurek, M.: Thermal comfort in urban areas on hot summer days and its improvement through participatory mapping: A case study of two Central European cities, Landscape Urban Plan., 233, 104713, https://doi.org/10.1016/j.landurbplan.2023.104713, 2023. a
Lindberg, F., Holmer, B., and Thorsson, S.: SOLWEIG 1.0 – Modelling spatial variations of 3D radiant fluxes and mean radiant temperature in complex urban settings, Int. J. Biometeorol., 52, 697–713, https://doi.org/10.1007/s00484-008-0162-7, 2008. a
Liu, D., Hu, S., and Liu, J.: Contrasting the performance capabilities of urban radiation field between three microclimate simulation tools, Build. Environ., 175, 106789, https://doi.org/10.1016/j.buildenv.2020.106789, 2020. a
Liu, Z., Zheng, S., and Zhao, L.: Evaluation of the ENVI-Met Vegetation Model of Four Common Tree Species in a Subtropical Hot-Humid Area, Atmosphere, 9, 198, https://doi.org/10.3390/atmos9050198, 2018. a
Maronga, B., Gryschka, M., Heinze, R., Hoffmann, F., Kanani-Sühring, F., Keck, M., Ketelsen, K., Letzel, M. O., Sühring, M., and Raasch, S.: The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives, Geosci. Model Dev., 8, 2515–2551, https://doi.org/10.5194/gmd-8-2515-2015, 2015. a, b
Maronga, B., Banzhaf, S., Burmeister, C., Esch, T., Forkel, R., Fröhlich, D., Fuka, V., Gehrke, K. F., Geletič, J., Giersch, S., Gronemeier, T., Groß, G., Heldens, W., Hellsten, A., Hoffmann, F., Inagaki, A., Kadasch, E., Kanani-Sühring, F., Ketelsen, K., Khan, B. A., Knigge, C., Knoop, H., Krč, P., Kurppa, M., Maamari, H., Matzarakis, A., Mauder, M., Pallasch, M., Pavlik, D., Pfafferott, J., Resler, J., Rissmann, S., Russo, E., Salim, M., Schrempf, M., Schwenkel, J., Seckmeyer, G., Schubert, S., Sühring, M., von Tils, R., Vollmer, L., Ward, S., Witha, B., Wurps, H., Zeidler, J., and Raasch, S.: Overview of the PALM model system 6.0, Geosci. Model Dev., 13, 1335–1372, https://doi.org/10.5194/gmd-13-1335-2020, 2020. a, b, c, d, e, f, g
Martilli, A., Clappier, A., and Rotach, M.: An Urban Surface Exchange Parameterisation for Mesoscale Models, Bound.-Lay. Meteorol., 261–304, https://doi.org/10.1023/A:1016099921195, 2002. a
Matuschek, O. and Matzarakis, A.: A mapping tool for climatological applications, Meteorol. Appl., 18, 230–237, https://doi.org/10.1002/met.233, 2011. a
Matzarakis, A., Rutz, F., and Mayer, H.: Modelling radiation fluxes in simple and complex environments – Application of the RayMan model, International J. Biometeorol., 51, 323–334, https://doi.org/10.1007/s00484-006-0061-8, 2007. a
Matzarakis, A., Rutz, F., and Mayer, H.: Modelling radiation fluxes in simple and complex environments: basics of the RayMan model, Int. J. Biometeorol., 54, 131–139, https://doi.org/10.1007/s00484-009-0261-0, 2010. a, b, c
Middel, A., Lukasczyk, J., and Maciejewski, R.: Sky View Factors from Synthetic Fisheye Photos for Thermal Comfort Routing – A Case Study in Phoenix, Arizona, Urban Plann., 2, 19–30, https://doi.org/10.17645/up.v2i1.855, 2017. a
Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., and Clough, S. A.: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave, J. Geophys. Res., 102, 16663–16682, https://doi.org/10.1029/97JD00237, 1997. a
Nakanishi, M. and Niino, H.: Development of an Improved Turbulence Closure Model for the Atmospheric Boundary Layer, J. Meteorol. Soc. Jpn. Ser. II, 87, 895–912, https://doi.org/10.2151/jmsj.87.895, 2009. a
Oke, T. R., Mills, G., Christen, A., and Voogt, J. A.: Urban climates, Cambridge University Press, https://doi.org/10.1017/9781139016476, 2017. a
Piselli, C., Castaldo, V., Pigliautile, I., Pisello, A., and Cotana, F.: Outdoor comfort conditions in urban areas: On citizens’ perspective about microclimate mitigation of urban transit areas, Sustain. Cities Soc., 39, 16–36, https://doi.org/10.1016/j.scs.2018.02.004, 2018. a
Radović, J., Belda, M., Resler, J., Eben, K., Bureš, M., Geletič, J., Krč, P., Řezníček, H., and Fuka, V.: Challenges of constructing and selecting the “perfect” boundary conditions for the large-eddy simulation model PALM, Geosci. Model Dev., 17, 2901–2927, https://doi.org/10.5194/gmd-17-2901-2024, 2024. a, b, c
Radović, J., Belda, M., Bureš, M., Eben, K., Jan, G., Jura, J., Krč, P., Řezníček, H., and Resler, J.: Dataset: Evaluating the radiative fidelity of PALM (v25.04) in high-resolution: impact of diverse urban morphology and vegetation on short-wave radiation, Zenodo [data set], https://doi.org/10.5281/zenodo.19231961, 2026. a
Rao, V. R. and Sastri, V. M. K.: Efficient evaluation of diffuse view factors for radiation, Int. J. Heat Mass Tran., 39, 1281–1286, https://doi.org/10.1016/0017-9310(95)00203-0, 1996. a
Resler, J., Krč, P., Belda, M., Juruš, P., Benešová, N., Lopata, J., Vlček, O., Damašková, D., Eben, K., Derbek, P., Maronga, B., and Kanani-Sühring, F.: PALM-USM v1.0: A new urban surface model integrated into the PALM large-eddy simulation model, Geosci. Model Dev., 10, 3635–3659, https://doi.org/10.5194/gmd-10-3635-2017, 2017. a, b, c, d, e
Resler, J., Eben, K., Geletič, J., Krč, P., Rosecký, M., Sühring, M., Belda, M., Fuka, V., Halenka, T., Huszár, P., Karlický, J., Benešová, N., Ďoubalová, J., Honzáková, K., Keder, J., Nápravníková, Š., and Vlček, O.: Validation of the PALM model system 6.0 in a real urban environment: a case study in Dejvice, Prague, the Czech Republic, Geosci. Model Dev., 14, 4797–4842, https://doi.org/10.5194/gmd-14-4797-2021, 2021. a, b, c, d
Resler, J., Bauerová, P., Belda, M., Bureš, M., Eben, K., Fuka, V., Geletič, J., Jareš, R., Karel, J., Keder, J., Krč, P., Patiño, W., Radović, J., Řezníček, H., Sühring, M., Šindelářová, A., and Vlček, O.: Challenges of high-fidelity air quality modeling in urban environments – PALM sensitivity study during stable conditions, Geosci. Model Dev., 17, 7513–7537, https://doi.org/10.5194/gmd-17-7513-2024, 2024. a
Salamanca, F. and Martilli, A.: A new Building Energy Model coupled with an Urban Canopy Parameterization for urban climate simulations – part II. Validation with one dimension off-line simulations, Theor. Applied Climatol., 99, 345–356, https://doi.org/10.1007/s00704-009-0143-8, 2009. a
Salim, M. H., Schubert, S., Resler, J., Krč, P., Maronga, B., Kanani-Sühring, F., Sühring, M., and Schneider, C.: Importance of radiative transfer processes in urban climate models: a study based on the PALM 6.0 model system, Geosci. Model Dev., 15, 145–171, https://doi.org/10.5194/gmd-15-145-2022, 2022. a, b, c
Schoetter, R., Caliot, C., Chung, T.-Y., Hogan, R. J., and Masson, V.: Local Climate Zones for Urban Temperature Studies, Bound.-Lay. Meteorol., 189, 103–138, https://doi.org/10.1007/s10546-023-00827-9, 2023. a
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Liu, Z., Berner, J., Wang, W., Powers, J. G., Duda, M. G., Barker, D. M., and Huang, X.-Y.: A Description of the Advanced Research WRF Version 4, NCAR technical note, https://doi.org/10.5065/1dfh-6p97, 2019. a
Stewart, I. D. and Oke, T. R.: Local Climate Zones for Urban Temperature Studies, B. Am. Meteorol. Soc., 93, 1879–1900, https://doi.org/10.1175/BAMS-D-11-00019.1, 2012. a
Suter, I., Grylls, T., Sützl, B. S., Owens, S. O., Wilson, C. E., and van Reeuwijk, M.: uDALES 1.0: a large-eddy simulation model for urban environments, Geosci. Model Dev., 15, 5309–5335, https://doi.org/10.5194/gmd-15-5309-2022, 2022. a
Tewari, M., Chen, F., Wang, W., Dudhia, J., LeMone, M. A., Mitchell, K., Ek, M., Gayno, G., Wegiel, J., and Cuenca, R. H.: Implementation and verification of the unified NOAH land surface model in the WRF model, in: 20th conference on weather analysis and forecasting/16th conference on numerical weather prediction, 11–15, https://www2.mmm.ucar.edu/wrf/users/physics/phys_refs/LAND_SURFACE/noah.pdf (last access: 10 January 2026), 2004. a, b
Thompson, G., Field, P. R., Rasmussen, R. M., and Hall, W. D.: Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part II: Implementation of a New Snow Parameterization, Mon. Weather Rev., 136, 5095–5115, https://doi.org/10.1175/2008MWR2387.1, 2008. a, b
Toparlar, Y., Blocken, B., Maiheu, B., and van Heijst, G. J. F.: A review on the CFD analysis of urban microclimate, Renew. Sust. Energ. Rev., 80, 1613–1640, https://doi.org/10.1016/j.rser.2017.05.248, 2017. a
United Nations: World Population Prospects 2024: Summary of Results, UN DESA/POP/2024/TR/NO. 9, https://population.un.org/wpp/assets/Files/WPP2024_Summary-of-Results.pdf (last access: 8 October 2025), 2024. a
Vieira Zezzo, L., Pereira Coltri, P., and Dubreuil, V.: Microscale models and urban heat island studies: a systematic review, Environ. Monit. Asses., 195, 1284, https://doi.org/10.1007/s10661-023-11906-2, 2023. a
Wallenberg, N., Lindberg, F., Holmer, B., and Thorsson, S.: The influence of anisotropic diffuse shortwave radiation on mean radiant temperature in outdoor urban environments, Urban Clim., 31, 100589, https://doi.org/10.1016/j.uclim.2020.100589, 2020. a
Wang, Y. and Akbari, H.: The effects of street tree planting on Urban Heat Island mitigation in Montreal, Sustain. Cities Soc., 27, 122–128, https://doi.org/10.1016/j.scs.2016.04.013, 2016. a
Willmott, C. J.: On The Validation Of Models, Phys. Geogr., 2, 184–194, https://doi.org/10.1080/02723646.1981.10642213, 1981. a
World Meteorological Organization: Guide to Instruments and Methods of Observation, Volume III – Observing Systems, WMO-No. 8, https://doi.org/10.59327/WMO/CIMO/3, 2024. a
Yang, S., Wang, L., Stathopoulos, T., and Marey, A. M.: Urban microclimate and its impact on built environment – A review, Build. Environ., 238, 110334, https://doi.org/10.1016/j.buildenv.2023.110334, 2023. a
Short summary
In this experiment, the Parallelized Large-Eddy Simulation Model (PALM)’s performance in simulating incoming and outgoing short-wave radiation in a densely built, highly heterogeneous urban environment was validated. In particular, we assessed whether the micro-scale model realistically resolves the effects of three-dimensional urban morphology and vegetation on short-wave radiation, including its propagation, shading, reflection, and attenuation within the simulated domain.
In this experiment, the Parallelized Large-Eddy Simulation Model (PALM)’s performance in...
