Logo Leibniz Universität Hannover
Logo: Institut für Meteorologie und Klimatologie/Leibniz Universität Hannover
Logo Leibniz Universität Hannover
Logo: Institut für Meteorologie und Klimatologie/Leibniz Universität Hannover
  • Zielgruppen
  • Suche

Model-based city planning and application in climate change (MOSAIK)

Leitung:Björn Maronga, Günter Groß, Siegfried Raasch, Gunther Seckmeyer
Bearbeitung:Tobias Gronemeier, Matthias Sühring, Farah Kanani-Sühring, Jungwha Lee, Robert von Tils, Michael Schrempf
Förderung durch:BMBF
Bild Model-based city planning and application in climate change (MOSAIK)

Within the joint research project MOSAIK a new urban climate model of unprecedented spatial resolution and computational performance will be developed. The core of this new model will be based on the modern, highly parallelized and optimized large-eddy simulation model PALM. PALM will be extended by Reynold-averaged-Navier-Stokes-type turbulence parameterizations for fine and coarse spatial resolution and further components required for urban modeling, like an energy balance solver for different urban surface types, an energy demand model for buildings, and an urban chemistry model. Additionally, PALM will be coupled to a multi-agent model in order to study environmental effects on large groups of people. PALM will have a nesting feature to allow forcing by larger-scale models. Also, self-nesting will allow to focus on specific areas of interest like small city quarters or single streets. These features will allow both simulations with very high spatial resolution (down to 1m) for large cities or long climate projections as well as more focused simulations with coarser resolution, and exemplary periods or specific areas (e.g. for city planners) with limited computer resources.

PALM will be able to provide maps of urban climate and bioclimate standard products including physiological equivalent temperature and universal thermal climate index, but in addition the multi-agent model will also help to identify areas for humans with high stress potential based on the individual characteristics of a large numbers of people, like walking path and speed, age, clothing, etc.. These hotspots cannot be determined from standard maps, because they do not take into account peoples' behavior.

The new model requires local surface information with very high resolution on building topography, vegetation, soil moisture etc., which can be derived from sources like satellite data, aerial imagery, and existing municipal data. A special focus will be the data input/output formats and data interfaces to PALM in order to support standards of (future) city planning. Data will be stored in an online data warehouse system in a consistent format, including weather and climate scenario data.

A web-based user interface will allow to define input data and model setups, to carry out the simulations, and to analyze and assess model output data. A professional project management system will be used to manage the project. The system will also provide the model documentation and tutorials, and will allow free access to the PALM source code.