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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/gmd-2019-355
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-355
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: development and technical paper 04 May 2020

Submitted as: development and technical paper | 04 May 2020

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This preprint is currently under review for the journal GMD.

Geospatial input data for the PALM model system 6.0: model requirements, data sources, and processing

Wieke Heldens1, Cornelia Burmeister3, Farah Kanani-Sühring2,4, Björn Maronga2,5, Dirk Pavlik3, Matthias Sühring2, Julian Zeidler1, and Thomas Esch1 Wieke Heldens et al.
  • 1Deutsches Zentrum für Luft- und Raumfahrt, Earth Observation Center, Land Surface Dynamics, Oberpfaffenhofen, Germany
  • 2Institute of Meteorology and Climatology, Leibniz University Hannover, Hannover, Germany
  • 3GEO-NET Environmental Services GmbH, Hannover, Dresden, Germany
  • 4Harz Energie GmbH & Co. KG, Goslar, Germany
  • 5Geophysical Institute, University of Bergen, Bergen, Norway

Abstract. The PALM model system 6.0 is designed to simulate micro- and mesoscale flow dynamics in realistic urban environments. The simulation results can be very valuable for various urban applications, for example to develop and improve mitigation strategies related to heat stress or air pollution. For the accurate modelling of urban environments, realistic boundary conditions need to be considered for the atmosphere, the local environment, and the soil. The local environment with its geospatial components is described in the static driver of the model and follows a standardized, hereafter called PALM input data standard. The main input parameters describe surface type, buildings and vegetation. Depending on the desired simulation scenario and the available data, the local environment can be described at different levels of detail. To compile a complete static driver describing a whole city, various data sources are used, including remote sensing, municipal data collections and open data such as OpenStreetMap. This manuscript shows how input data sets for three German cities can be derived. Based on these data sets, the static driver for PALM can be generated. As the collection and preparation of input data sets is tedious, prospective research aims at the development of a semi-automated processing chain to support users in formatting their geospatial data.

Wieke Heldens et al.

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Latest update: 01 Jun 2020
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Short summary
For realistic micro climate simulations in urban areas with PALM 6.0 a detailed description of surface types, buildings and vegetation is required. This paper shows how such input data sets can be derived, by 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 micro climate simulations in urban areas with PALM 6.0 a detailed description of...
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