Articles | Volume 14, issue 7
https://doi.org/10.5194/gmd-14-4443-2021
© Author(s) 2021. 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-14-4443-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Sensitivity analysis of the PALM model system 6.0 in the urban environment
Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
Jaroslav Resler
Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic
Jan Geletič
Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic
Pavel Krč
Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic
Björn Maronga
Institute of Meteorology and Climatology, Leibniz University Hannover, Hanover, Germany
Matthias Sühring
Institute of Meteorology and Climatology, Leibniz University Hannover, Hanover, Germany
Mona Kurppa
Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
Farah Kanani-Sühring
Institute of Meteorology and Climatology, Leibniz University Hannover, Hanover, Germany
Harz Energie GmbH & Co. KG, Goslar, Germany
Vladimír Fuka
Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
Kryštof Eben
Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic
Nina Benešová
Czech Hydrometeorological Institute, Prague, Czech Republic
Mikko Auvinen
Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
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Cited
19 citations as recorded by crossref.
- Modelling the impact of an urban development project on microclimate and outdoor thermal comfort in a mid-latitude city J. Anders et al. 10.1016/j.enbuild.2023.113324
- Evaluation of multi-layer urban canopy model (MLUCM) for urban microclimate predictions at different urban contexts G. Setyantho et al. 10.1016/j.uclim.2024.101882
- Towards climate-responsible tree positioning: Detailed effects of trees on heat exposure in complex urban environments Z. Janků et al. 10.1016/j.ufug.2024.128500
- Assessing urban ventilation using large-eddy simulations H. An & S. Park 10.1016/j.buildenv.2024.111899
- A framework combining multi-scale model and unmanned aerial vehicle for investigating urban micro-meteorology, thermal comfort, and energy balance J. Hang et al. 10.1016/j.scs.2024.105847
- High-fidelity simulation of the effects of street trees, green roofs and green walls on the distribution of thermal exposure in Prague-Dejvice J. Geletič et al. 10.1016/j.buildenv.2022.109484
- Heat exposure variations and mitigation in a densely populated neighborhood during a hot day: Towards a people-oriented approach to urban climate management J. Geletič et al. 10.1016/j.buildenv.2023.110564
- GEO4PALM v1.1: an open-source geospatial data processing toolkit for the PALM model system D. Lin et al. 10.5194/gmd-17-815-2024
- A city-scale turbulence-resolving model as an essential element of integrated urban services I. Esau et al. 10.1016/j.uclim.2024.102059
- Challenges of high-fidelity air quality modeling in urban environments – PALM sensitivity study during stable conditions J. Resler et al. 10.5194/gmd-17-7513-2024
- Validation of the PALM model system 6.0 in a real urban environment: a case study in Dejvice, Prague, the Czech Republic J. Resler et al. 10.5194/gmd-14-4797-2021
- Turbulent flow over aligned cylindrical obstacles G. Duan et al. 10.1063/5.0211112
- Review of User-Friendly Models to Improve the Urban Micro-Climate B. Jänicke et al. 10.3390/atmos12101291
- Challenges of constructing and selecting the “perfect” boundary conditions for the large-eddy simulation model PALM J. Radović et al. 10.5194/gmd-17-2901-2024
- Crowdsourcing air temperature data for the evaluation of the urban microscale model PALM—A case study in central Europe L. van der Linden et al. 10.1371/journal.pclm.0000197
- Using dispersion models at microscale to assess long-term air pollution in urban hot spots: A FAIRMODE joint intercomparison exercise for a case study in Antwerp F. Martín et al. 10.1016/j.scitotenv.2024.171761
- High-Resolution Modelling of Thermal Exposure during a Hot Spell: A Case Study Using PALM-4U in Prague, Czech Republic J. Geletič et al. 10.3390/atmos12020175
- Radiative Transfer Model 3.0 integrated into the PALM model system 6.0 P. Krč et al. 10.5194/gmd-14-3095-2021
- Geospatial input data for the PALM model system 6.0: model requirements, data sources and processing W. Heldens et al. 10.5194/gmd-13-5833-2020
16 citations as recorded by crossref.
- Modelling the impact of an urban development project on microclimate and outdoor thermal comfort in a mid-latitude city J. Anders et al. 10.1016/j.enbuild.2023.113324
- Evaluation of multi-layer urban canopy model (MLUCM) for urban microclimate predictions at different urban contexts G. Setyantho et al. 10.1016/j.uclim.2024.101882
- Towards climate-responsible tree positioning: Detailed effects of trees on heat exposure in complex urban environments Z. Janků et al. 10.1016/j.ufug.2024.128500
- Assessing urban ventilation using large-eddy simulations H. An & S. Park 10.1016/j.buildenv.2024.111899
- A framework combining multi-scale model and unmanned aerial vehicle for investigating urban micro-meteorology, thermal comfort, and energy balance J. Hang et al. 10.1016/j.scs.2024.105847
- High-fidelity simulation of the effects of street trees, green roofs and green walls on the distribution of thermal exposure in Prague-Dejvice J. Geletič et al. 10.1016/j.buildenv.2022.109484
- Heat exposure variations and mitigation in a densely populated neighborhood during a hot day: Towards a people-oriented approach to urban climate management J. Geletič et al. 10.1016/j.buildenv.2023.110564
- GEO4PALM v1.1: an open-source geospatial data processing toolkit for the PALM model system D. Lin et al. 10.5194/gmd-17-815-2024
- A city-scale turbulence-resolving model as an essential element of integrated urban services I. Esau et al. 10.1016/j.uclim.2024.102059
- Challenges of high-fidelity air quality modeling in urban environments – PALM sensitivity study during stable conditions J. Resler et al. 10.5194/gmd-17-7513-2024
- Validation of the PALM model system 6.0 in a real urban environment: a case study in Dejvice, Prague, the Czech Republic J. Resler et al. 10.5194/gmd-14-4797-2021
- Turbulent flow over aligned cylindrical obstacles G. Duan et al. 10.1063/5.0211112
- Review of User-Friendly Models to Improve the Urban Micro-Climate B. Jänicke et al. 10.3390/atmos12101291
- Challenges of constructing and selecting the “perfect” boundary conditions for the large-eddy simulation model PALM J. Radović et al. 10.5194/gmd-17-2901-2024
- Crowdsourcing air temperature data for the evaluation of the urban microscale model PALM—A case study in central Europe L. van der Linden et al. 10.1371/journal.pclm.0000197
- Using dispersion models at microscale to assess long-term air pollution in urban hot spots: A FAIRMODE joint intercomparison exercise for a case study in Antwerp F. Martín et al. 10.1016/j.scitotenv.2024.171761
3 citations as recorded by crossref.
- High-Resolution Modelling of Thermal Exposure during a Hot Spell: A Case Study Using PALM-4U in Prague, Czech Republic J. Geletič et al. 10.3390/atmos12020175
- Radiative Transfer Model 3.0 integrated into the PALM model system 6.0 P. Krč et al. 10.5194/gmd-14-3095-2021
- Geospatial input data for the PALM model system 6.0: model requirements, data sources and processing W. Heldens et al. 10.5194/gmd-13-5833-2020
Latest update: 21 Nov 2024
Short summary
The analysis summarizes how sensitive the modelling of urban environment is to changes in physical parameters describing the city (e.g. reflectivity of surfaces) and to several heat island mitigation scenarios in a city quarter in Prague, Czech Republic. We used the large-eddy simulation modelling system PALM 6.0. Surface parameters connected to radiation show the highest sensitivity in this configuration. For heat island mitigation, urban vegetation is shown to be the most effective measure.
The analysis summarizes how sensitive the modelling of urban environment is to changes in...