Details
| Original language | English |
|---|---|
| Pages (from-to) | 5833-5873 |
| Number of pages | 41 |
| Journal | Geoscientific model development |
| Volume | 13 |
| Issue number | 11 |
| Publication status | Published - 27 Nov 2020 |
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.
ASJC Scopus subject areas
- Mathematics(all)
- Modelling and Simulation
- Earth and Planetary Sciences(all)
- General Earth and Planetary Sciences
Sustainable Development Goals
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In: Geoscientific model development, Vol. 13, No. 11, 27.11.2020, p. 5833-5873.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Geospatial input data for the PALM model system 6.0
T2 - model requirements, data sources and processing
AU - Heldens, Wieke
AU - Burmeister, Cornelia
AU - Kanani-Sühring, Farah
AU - Maronga, Bjorn
AU - Pavlik, Dirk
AU - Sühring, Matthias
AU - Zeidler, Julian
AU - Esch, Thomas
N1 - Funding information: Financial support. This research has been supported by the
PY - 2020/11/27
Y1 - 2020/11/27
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85097048609&partnerID=8YFLogxK
U2 - 10.5194/gmd-13-5833-2020
DO - 10.5194/gmd-13-5833-2020
M3 - Article
AN - SCOPUS:85097048609
VL - 13
SP - 5833
EP - 5873
JO - Geoscientific model development
JF - Geoscientific model development
SN - 1991-959X
IS - 11
ER -