Articles | Volume 13, issue 11
https://doi.org/10.5194/gmd-13-5833-2020
© Author(s) 2020. 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-13-5833-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
27 Nov 2020
Development and technical paper |
| 27 Nov 2020
| 27 Nov 2020
Geospatial input data for the PALM model system 6.0: model requirements, data sources and processing
Deutsches Zentrum für Luft- und Raumfahrt, Earth Observation Center, Land Surface Dynamics, Oberpfaffenhofen, Germany
Cornelia Burmeister
GEO-NET Umweltconsulting GmbH, Hanover, Germany
Farah Kanani-Sühring
Institute of Meteorology and Climatology, Leibniz
University Hannover, Hanover, Germany
Harz Energie GmbH & Co. KG, Goslar, Germany
Björn Maronga
Institute of Meteorology and Climatology, Leibniz
University Hannover, Hanover, Germany
Geophysical Institute, University of Bergen, Bergen, Norway
Dirk Pavlik
GEO-NET Umweltconsulting GmbH, Hanover, Germany
Matthias Sühring
Institute of Meteorology and Climatology, Leibniz
University Hannover, Hanover, Germany
Julian Zeidler
Deutsches Zentrum für Luft- und Raumfahrt, Earth Observation Center, Land Surface Dynamics, Oberpfaffenhofen, Germany
Thomas Esch
Deutsches Zentrum für Luft- und Raumfahrt, Earth Observation Center, Land Surface Dynamics, Oberpfaffenhofen, Germany
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Cited
21 citations as recorded by crossref.
- Evaluation of a novel WRF/PALM-4U coupling scheme incorporating a roughness-corrected surface layer representation J. Vogel et al. 10.1016/j.uclim.2022.101311
- Development of an atmospheric chemistry model coupled to the PALM model system 6.0: implementation and first applications B. Khan et al. 10.5194/gmd-14-1171-2021
- Dispersion of particulate matter (PM<sub>2.5</sub>) from wood combustion for residential heating: optimization of mitigation actions based on large-eddy simulations T. Wolf et al. 10.5194/acp-21-12463-2021
- 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
- Investigating multiscale meteorological controls and impact of soil moisture heterogeneity on radiation fog in complex terrain using semi-idealised simulations D. Lin et al. 10.5194/acp-23-14451-2023
- Fast simulation of high resolution urban wind fields at city scale S. Xiang et al. 10.1016/j.uclim.2021.100941
- 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
- G-reqs, a New Model Proposal for Capturing and Managing In Situ Data Requirements: First Results in the Context of the Group on Earth Observations J. Maso et al. 10.3390/rs15061589
- Food Supply Chain Safety Research Trends From 1997 to 2020: A Bibliometric Analysis J. Luo et al. 10.3389/fpubh.2021.742980
- Meta-analysis of food supply chain: pre, during and post COVID-19 pandemic A. Kafi et al. 10.1186/s40066-023-00425-5
- Sensitivity analysis of the PALM model system 6.0 in the urban environment M. Belda et al. 10.5194/gmd-14-4443-2021
- Can Areawide Building Retrofitting Affect the Urban Microclimate? An LES Study for Berlin, Germany B. Maronga et al. 10.1175/JAMC-D-21-0216.1
- CityFFD – City fast fluid dynamics for urban microclimate simulations on graphics processing units M. Mortezazadeh et al. 10.1016/j.uclim.2021.101063
- Inference of Local Climate Zones from GIS Data, and Comparison to WUDAPT Classification and Custom-Fit Clusters F. Muhammad et al. 10.3390/land11050747
- 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
- 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
- Importance of radiative transfer processes in urban climate models: a study based on the PALM 6.0 model system M. Salim et al. 10.5194/gmd-15-145-2022
- 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
- WRF4PALM v1.0: a mesoscale dynamical driver for the microscale PALM model system 6.0 D. Lin et al. 10.5194/gmd-14-2503-2021
- Comparison of Urban Heat Island Intensity Estimation Methods Using Urbanized WRF in Berlin, Germany J. Vogel & A. Afshari 10.3390/atmos11121338
- Between vision and action: the predicted effects of co-designed green infrastructure solutions on environmental burdens M. Schaefer 10.1007/s11252-022-01268-x
19 citations as recorded by crossref.
- Evaluation of a novel WRF/PALM-4U coupling scheme incorporating a roughness-corrected surface layer representation J. Vogel et al. 10.1016/j.uclim.2022.101311
- Development of an atmospheric chemistry model coupled to the PALM model system 6.0: implementation and first applications B. Khan et al. 10.5194/gmd-14-1171-2021
- Dispersion of particulate matter (PM<sub>2.5</sub>) from wood combustion for residential heating: optimization of mitigation actions based on large-eddy simulations T. Wolf et al. 10.5194/acp-21-12463-2021
- 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
- Investigating multiscale meteorological controls and impact of soil moisture heterogeneity on radiation fog in complex terrain using semi-idealised simulations D. Lin et al. 10.5194/acp-23-14451-2023
- Fast simulation of high resolution urban wind fields at city scale S. Xiang et al. 10.1016/j.uclim.2021.100941
- 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
- G-reqs, a New Model Proposal for Capturing and Managing In Situ Data Requirements: First Results in the Context of the Group on Earth Observations J. Maso et al. 10.3390/rs15061589
- Food Supply Chain Safety Research Trends From 1997 to 2020: A Bibliometric Analysis J. Luo et al. 10.3389/fpubh.2021.742980
- Meta-analysis of food supply chain: pre, during and post COVID-19 pandemic A. Kafi et al. 10.1186/s40066-023-00425-5
- Sensitivity analysis of the PALM model system 6.0 in the urban environment M. Belda et al. 10.5194/gmd-14-4443-2021
- Can Areawide Building Retrofitting Affect the Urban Microclimate? An LES Study for Berlin, Germany B. Maronga et al. 10.1175/JAMC-D-21-0216.1
- CityFFD – City fast fluid dynamics for urban microclimate simulations on graphics processing units M. Mortezazadeh et al. 10.1016/j.uclim.2021.101063
- Inference of Local Climate Zones from GIS Data, and Comparison to WUDAPT Classification and Custom-Fit Clusters F. Muhammad et al. 10.3390/land11050747
- 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
- 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
- Importance of radiative transfer processes in urban climate models: a study based on the PALM 6.0 model system M. Salim et al. 10.5194/gmd-15-145-2022
- 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
- WRF4PALM v1.0: a mesoscale dynamical driver for the microscale PALM model system 6.0 D. Lin et al. 10.5194/gmd-14-2503-2021
2 citations as recorded by crossref.
- Comparison of Urban Heat Island Intensity Estimation Methods Using Urbanized WRF in Berlin, Germany J. Vogel & A. Afshari 10.3390/atmos11121338
- Between vision and action: the predicted effects of co-designed green infrastructure solutions on environmental burdens M. Schaefer 10.1007/s11252-022-01268-x
Latest update: 24 Apr 2024
Short summary
For realistic microclimate simulations in urban areas with PALM 6.0, detailed description of surface types, buildings and vegetation is required. This paper shows how such input data sets can be derived with the example of three German cities. Various data sources are used, including remote sensing, municipal data collections and open data such as OpenStreetMap. The collection and preparation of input data sets is tedious. Future research aims therefore at semi-automated tools to support users.
For realistic microclimate simulations in urban areas with PALM 6.0, detailed description of...
