Articles | Volume 18, issue 18
https://doi.org/10.5194/gmd-18-6063-2025
https://doi.org/10.5194/gmd-18-6063-2025
Development and technical paper
 | 
17 Sep 2025
Development and technical paper |  | 17 Sep 2025

SanDyPALM v1.0: static and dynamic drivers for the PALM model to facilitate urban microclimate simulations

Julian Vogel, Sebastian Stadler, Ganesh Chockalingam, Afshin Afshari, Johanna Henning, and Matthias Winkler

Cited articles

Afshari, A.: Optimization of urban design/retrofit scenarios using a computationally light standalone urban energy/climate model (SUECM) forced by ERA5 data, Energ. Build., 287, 112991, https://doi.org/10.1016/j.enbuild.2023.112991, 2023. a
Arya, S. P.: Introduction to micrometeorology, This is volume 79 in the International geophysics series, Academic Press, San Diego, 2nd Edn., ISBN 0120593548, 2001. a
ASTER Science Team: ASTER Global Digital Elevation Model V003, NASA Land Processes Distributed Active Archive Center [data set], https://doi.org/10.5067/ASTER/ASTGTM.003, 2019. a
Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M., and Reinhardt, T.: Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities, Mon. Weather Rev., 139, 3887–3905, https://doi.org/10.1175/MWR-D-10-05013.1, 2011. a
Bureš, M. and Resler, J.: PALM-GeM: Geospatial Data Merging and Preprocessing into PALM, Zenodo [code], https://doi.org/10.5281/zenodo.11067859, 2024. a
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Short summary
This study presents a toolkit to simplify input data creation for an urban microclimate model. It introduces novel methods to automate the use of open data sources. Our analysis of four test cases created from different geographic data sources shows variations in temperature, humidity, and wind speed, influenced by data quality. Our validation indicates that the automated methods can yield results comparable to expert-driven approaches, facilitating user-friendly urban climate modeling.
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