Proceeding of the 12th International Conference on Urban Drainage, Porto Alegre/Brazil, 11-16 September 2011.
For the development of adaptation strategies in the research project dynaklim (Dynamic Adaptation of Regional Planning and Development Processes to the Effects of Climate Change in the Emscher-Lippe-Region) numerous models (e. g. sewer models) which need rainfall data as input are used. These models need data with a temporal and spatial resolution beyond the resolution provided by regional climate models. Therefore downscaling of the
precipitation data is performed with the help of weather radar data. Comparisons of measurement and model data during 1961-1990 show systematic bias and differing statistical characteristics between the two data types; thus the model data requires preliminary correction before use. A critical point is the corrections´ impact on extreme event data that are applied in extreme value statistics for structure design, e.g. for retention basins. Different characteristics of the analysed rainfall data and correction procedures are described.
Rainfall statistics are composed based on data gained by precipitation measurements and from climate models. These statistics are carried out for both periods in the past and the future. When analysing the time series, different trends can be seen in the measured data of the past and the model data for future periods. Influences on the statistically determined precipitation amounts caused by changes can be neglected for past periods. However, significant increases of the statistical precipitation amounts can be observed for the future. Here a pragmatic approach is presented, showing how to consider possible increases in the statistical precipitation amounts – due to the climate change signal – in the dimensioning of water management systems.
Managing the impacts of climate change is an important issue for sustainable urban planning. A large range of economic activities influence urban climate and are influenced by climate change itself. The impacts of climate change on power plants, manufacturing processes and business locations as well as adaptation options should be analysed to understand the vulnerability to climate change. The seriousness of the potential impacts of
climate change on enterprises requires new concepts and innovative products for flexible and robust adaptation options. The analysis of the impacts of climate change on enterprises and potential adaptation measures is the basis of the research framework of a “climate-focused economic development” within the networking and research project dynaklim. A differentiated vulnerability assessment enables us to define and identify strategies of adaptation in the means of organisational, marked-focused and technical developments.
ONNO e.V., the East Frisian Network for Ecology – Region – Future, functions as a mediator between its members affected by climate change, the scientists in the project nordwest2050, and the public. The Association is especially active in the area of food communications and education, in order to strengthen the perspective of sustainable food culture in East Friesland among all relevant actors. In the context of this project, this is especially being developed and deepened with respect to the issue of climate change.
The establishment of a consciousness for climate change processes and the necessary changes for climate-adapted agriculture and a climate-adapted food industry will require communications and interaction at the level of economic clusters, in order to initiate exchange and cooperation alliances by means of targeting network formation. The Oldenburg Münsterland Agriculture and Food Forum (AEF) is an association of 75 businesses in the agriculture and food sector which operates as an interface between the scientific community and everyday practice. In close cooperation with the Carl von Ossietzky University of Oldenburg, key issues for regional climate adaptation measures have been developed on the basis of scientific ascertainments and practice-oriented needs.
The Freese Organic Farm is testing a number of adaptation options for agriculture, especially in the area of the cultivation of cereals and of high-quality vegetables. Open-field crop farming is becoming ever more difficult due to climate change. In order to better protect vegetable cultures from such extreme weather events as heat waves or heavy rain, the Freese Organic Farm is testing the following innovations: (1) A new greenhouse covering which, due to its particular permittivity, makes open-field-like light conditions possible in a protected structure. At the same time the farm is seeking resilient, climate adapted vegetable strains which are to be examined for their particular properties, both in open-field cultivation and under the protection of this innovative foil. (2) In the area of cereal raising, the organic farm is trying to cultivate an old strain of rye. (3) And by baking and marketing bread from this rye, the farm wants to raise consciousness about the issue of climate change and adaptation.
A statistical downscaling method has been developed to produce highly resolved precipitation data from regional climate model (RCM) output, using the model CLM (2 runs, scenario A1B). The procedure is based on the analogue method with the predictors precipitation (daily sums on CLM grid points) and objective weather types (DWD). Analogue days of the time period 2001-2009 are searched using corrected and adjusted data of radar Essen and DWD measurements of objective weather types. The radar data is used to produce high-resolution precipitation data sets (1km², 5min) with realistic spatial and temporal correlations for three catchments in North Rhine-Westphalia. Results in
the reference period (1961 - 1990) are examined using extreme value statistics and compared to corrected station data. Data sets of the near and the far future (2021-2050, 2071-2100) are analysed with respect to future trends, and uncertainties of the downscaling procedure are discussed.
The survey of 4.000 companies in the metropolitan area of Bremen-Oldenburg in north-western Germany conducted by the University of Oldenburg as part of the ‚nordwest2050’ project in 2010 and 2012 showed that the economic importance of climate change is growing. The 2012 survey revealed that 38% of the companies polled already saw climate change as an important success factor for their company. In 2010, 31% of the companies surveyed said that they ascribed a “high” to “very high importance” to climate change for corporate success.
The Northwest of Germany is characterized by lively and modern cities and a rough landscape of coastal wetlands and moors. The flat land in the Northwest has long become a centre of logistics and harbor industry, of food production, and expertise in aerospace, energy and environmental technology. The region is one of Germany’s most dynamic industrial locations. nordwest2050 focuses on the Metropolitan Region Bremen-Oldenburg in the Northwest of Germany, a region with more than 2.3 million inhabitants