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.
INKA BB sees itself as an innovation network encompassing academia and business practice that brings about change proactively. As a role model and partner, the network wishes to disseminate findings and initiate learning processes. To achieve this, we combine the region’s existing expertise of research institutions, public administrations, business enterprises and associations. The network operates in Brandenburg with a federal state-wide focus. Most site- and company-related measures are undertaken in the regions of Lausitz-Spreewald and Uckermark-Barnim, as well as in the metropolis of Berlin.
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.
Rather than focusing on climate-protection measures, the Bremen Cargo Distribution Center (GVZ Bremen) has identified measures for adaptation to climate change. In 2011 and 2012 the Institute of Shipping Economics and Logistics (ISL), together with the Bremen University of Applied Science, carried out a comprehensive empirical investigation of the effects of climate change on the logistics sector of the Metropolitan Region Bremen-Oldenburg in the Northwest. The results clearly show that the expected impacts of climate change could mean a new challenge, both for the GVZ and for individual companies at the Center.
Content:
Regional Activities:
Looking Back on Five Years of RADOST;
RADOST Final Conference Takes Stock, Looks Ahead;
Looking Back: Comments on RADOST;
Bay of Kiel Climate Alliance Seeks to Make the Region a Climate Conscious Vacation Destination;
What’s Next after RADOST?
New Web Tool: “Northern German Climate Monitor”;
International Activities:
RADOST at the European Maritime Day;
Contributions wanted for ECCA Conference 2015;
Publications:
Communicating Adaptation to Regional Climate Change Impacts;
New RADOST reports;
Third Special Edition of “Coastal & Marine“
Content:
Regional Activities:
RADOST Event at the Darßer Arche;
Save the Date: RADOST Final Conference;
Local Adaptation Strategies for Schleswig-Holstein;
Bay of Kiel Climate Alliance Supports Adaptation Strategy
of the City of Kiel;
“Nothing Stays the Same” – RADOST at the BWK Federal Congress;
Concordance Maps in the North German Climate Atlas;
International Activities:
Adaptation to Climate Change in Mountain & Coastal Areas;
Publications:
„Die Zeit“ Reports on RADOST;
4th RADOST Annual Report;
Adaptation Strategy for the Ports of Lübeck
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.
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.
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.
The precipitation data of the Regional Climate Model CLM are used for the water management impact models within the dynaklim networking and research project. For this purpose, it is necessary to apply a bias correction to the CLM
precipitation data. First, the bias assessed for varying temporal resolutions and precipitation characteristics is described. Subsequently, a method for the bias correction is introduced. The developed methodology is a modified form of the socalled
quantile mapping. The focus lies on the corrections of the dry days and the heavy rainfall events. They are considered separately, deviating from other quantile mapping procedures.