The effects of climate change, such as ocean warming or the lowering of pH values, could lead to a reduction or migration of fishing stocks during the next 15 to 20 years, due to possible changes in the swarming and spawning behavior of the stocks. The bulk of the deep-freeze raw goods for the German fishing industry currently comes from countries which are not members of the EU. In the future, therefore, a more effective management of available resources and a stock-maintaining management of fish species for the supply of the market will be necessary.
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 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.
One of the important parts of the final conference of ‘nordwest2050’ has been the scientific exchange sessions in the House of Science and the Industryclub Bremen. Contributions were based upon a call for papers from October 2013. The scientific committee received almost 100 abstracts where 36 were chosen for oral presentations and 15 for poster presentations (see overview tables below).
Four main topics were discussed in parallel workshops:
• Analysing Impacts and Assessing Vulnerabilities
• Designing and Testing Solutions for Regional Climate Adaptation and Resilience
• Implementing Climate Adaptation and Paths to a Resilient Future
• Resilience for Business: Climate Adaptation Challenge and Strategies of Sectors and Companies
Frozen Fish International: Climate-Adapted Management of the Fisheries Sector
(2014)
