Scherer, D.; Antretter, F.; Bender, S.; Cortekar, J.; Emeis, S. et al.: Urban climate under change [UC]2 - A national research programme for developing a building-resolving atmospheric model for entire city regions. In: Meteorologische Zeitschrift 28 (2019), Nr. 2, S. 95-104. DOI: https://doi.org/10.1127/metz/2019/0913
Abstract: | |
Large cities and urban regions are confronted with rising pressure by environmental pollution, impacts of climate change, as well as natural and health hazards. They are characterised by heterogeneous mosaics of urban structures, causing modifications of atmospheric processes on different temporal and spatial scales. Planning authorities need reliable, locally relevant information on urban atmospheric processes, providing fine spatial resolutions in city quarters or street canyons, as well as projections of future climates, specifically downscaled to individual cities. Therefore, building-resolving urban climate models for entire city regions are required as a tool for urban development and planning, air quality control, as well as for design of actions for climate change mitigation and adaptation. To date, building-resolving atmospheric models covering entire large cities are mostly missing. The German research programme “Urban Climate Under Change” ([UC]2) aims at developing a new urban climate model, acquiring three-dimensional observational data for model testing and validation, and testing its practicability and usability in collaboration with relevant stakeholders to provide a scientifically sound and practicable instrument to address the above mentioned challenges. This article provides an outline of the collaborative activities of the [UC]2 research programme. | |
License of this version: | CC BY-NC 4.0 Unported |
Document Type: | Article |
Publishing status: | publishedVersion |
Issue Date: | 2019 |
Appears in Collections: | Fakultät für Mathematik und Physik |
pos. | country | downloads | ||
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total | perc. | |||
1 | Germany | 197 | 52.53% | |
2 | United States | 65 | 17.33% | |
3 | China | 14 | 3.73% | |
4 | Korea, Republic of | 12 | 3.20% | |
5 | No geo information available | 7 | 1.87% | |
6 | India | 7 | 1.87% | |
7 | France | 6 | 1.60% | |
8 | Iran, Islamic Republic of | 5 | 1.33% | |
9 | Hong Kong | 5 | 1.33% | |
10 | United Kingdom | 5 | 1.33% | |
other countries | 52 | 13.87% |
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