Geospatial input data for the PALM model system 6.0

model requirements, data sources and processing

verfasst von
Wieke Heldens, Cornelia Burmeister, Farah Kanani-Sühring, Bjorn Maronga, Dirk Pavlik, Matthias Sühring, Julian Zeidler, Thomas Esch
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 format. 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 article shows how input data sets for three German cities were 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.

Organisationseinheit(en)
Institut für Meteorologie und Klimatologie
Externe Organisation(en)
Harz Energie GmbH & Co. KG
University of Bergen (UiB)
Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) Standort Oberpfaffenhofen
GEO-NET Umweltconsulting GmbH
Typ
Artikel
Journal
Geoscientific model development
Band
13
Seiten
5833-5873
Anzahl der Seiten
41
ISSN
1991-959X
Publikationsdatum
27.11.2020
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Modellierung und Simulation, Erdkunde und Planetologie (insg.)
Ziele für nachhaltige Entwicklung
SDG 11 – Nachhaltige Städte und Gemeinschaften
Elektronische Version(en)
https://doi.org/10.5194/gmd-13-5833-2020 (Zugang: Offen)