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3 results for “Microclimate simulations”
Microclimate simulation output: "Between vision and action: the predicted effects of co-designed green infrastructure solutions on environmental burdens"
<p>The following microclimate simulation dataset supports the paper "Between vision and action: the predicted effects of co-designed green infrastructure solutions on environmental burdens" by Mathias Schaefer, published in Urban Ecosystems (2022).</p> <p>"T0Simulation_11082020_output" contains data about the status quo simulation of the area of interest (500 m x 500 m x 60 m), whereas "T1Simulation_11082020_output" shows the results of the Green Infrastructure scenario described in the research article above. Please ensure enough memory space on your device, as both files have a size of approximately 25 GB (unzipped).</p> <p>The output files can be visualized with the ENVI-met Leonardo extension. The ENVI-met LITE-version is freely available and can be downloaded at the <a href="https://envi-met.info/doku.php?id=files:download">ENVI-met homepage</a>. Alternatively, the included .NETCDF files can be imported as a multidimensional raster dataset in ArcGIS Pro.</p> <p>Files in the folder "atmosphere" represent meteorological parameters such as potential air temperature [°C], relative humidity [%], or wind speed [m/s]. Air pollution calculations like particulate matter concentrations [µg/m³] can be found in the folder "pollutants". The folder "buildings" contains building data for 3D visualizations of surface temperatures [°C].</p>
Dataset used in the study "Urban microclimate simulations based on GIS data to mitigate thermal hot-spots: Tree design scenarios in an industrial area of Florence"
<p>This dataset repository includes input and output spatial data of urban microclimate simulations performed through QGIS and ENVI-met software used in the study "Urban microclimate simulations based on GIS data to mitigate thermal hot-spots: Tree design scenarios in an industrial area of Florence", published in the Building and Environment Journal, <a href="https://doi.org/10.1016/j.buildenv.2023.110854">https://doi.org/10.1016/j.buildenv.2023.110854</a>.</p>
Parameterization of grass grid pavers for urban microclimate modelling to simulate the heat mitigation potential of unsealing measures in cities
<p><strong>README: </strong></p> <p>The exact version (V 5.1.2 Compatibility Release) of the ENVI-met model used for this paper, the parameterizations and the input data to run the ENVI-met model and to reproduce the model outputs of all the performed scenario simulations shown in this paper, as well as all the scripts for post-processing of the model output data needed to derive the presented results of this manuscript are provided in this permanent archive. The supplementary material (data and code) includes the following files: </p> <p>Appendix_1: ENVI-met model code of the version used to reproduce the outputs of this paper (V 5.1.2 Compatibility Release): <br> Appendix_1.exe: ENVImet model Version 5.1.2 setup </p> <p>Appendix_2: Model input data: for GGP scenarios including the model database parameterizations: <br> Appendix_2.1.zip: Input data for extreme scenario <br> Appendix_2.2.zip: Input data for realistic scenario <br>Eeach zip file contains: model driver file for LBCs, project file, project database, model domain file, and simulation task file. </p> <p>Appendix_3: Python scripts for postprocessing and extraction of model output data: <br> Appendix_3.1.enpy: Python script for exporting surface data <br> Appendix_3.2.enpy: Python script for exporting atmosphere data and soil data</p> <p>Appendix_4: R script for data analyses of model results: <br> Appendix_4.rmd: R script for data analyses of extracted simulation results and plotting </p> <p> </p>
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