Information about possible changes of extreme wave heights are essential for the future safe design of coastal and flood protection structures likes dykes, flood protection dunes, revetments etc. In this study, scenarios of regional climate change up to 2100 are used for the evaluation of changes of wave conditions. Analyses on calculated significant wave heights derived from extreme value statistics are showing a different signal of change for the selected locations along the German Baltic Sea Coast. The results are showing that extreme wave heights with a return level of 200 years can increase up to +14%. But also a decrease of down to -14% were found compared to actual conditions, depending on the location and climate change scenario applied. At the location of Warnemünde a slight increasing trend for the change of extreme wave heights could be found for 3 of 4 scenario runs with a maximum increase of +7%.
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.
A reestablishment of Fucus vesiculosus where it is locally vanished would be an indicator for improved water quality. Thus the Agency for Agriculture, Environment and Rural Areas of Schleswig - Holstein (LLUR) is thinking about opportunities to resettle F. vesiculosus. On behalf of RADOST project, the tolerance of early fucoid life stages towards thermal stress was analysed and after four days of thermal treatment a high percentage of the treated fucoid offspring survived. It might be that inside species genotypes exist which are less sensitive against future environmental changes.
Content:
Regional Activities:
Workshop: Coastal Change as a Challenge for Society, Culture, and Spatial Planning;
RADOST on Tour: Baltic Sea Coast 2100 – On the Way to Regional Climate Adaptation;
Monitoring the Environmental Conditions in the Nearshore Area;
National Activities:
Outstanding Climate Adaptation;
International Activities:
RADOST in Exchange with Coastal Planners in the USA;
Short Film on Climate Change Adaptation in Germany, Poland,
and the Baltic States;
Publications:
Analyses of the Perception of Climate Change Along the
German Baltic Sea Coast;
RADOST Studies on Artificial Reefs
Content:
Regional Activities:
RADOST: Baltic Sea Coast 2100;
Close Cooperation with Tourism Experts in the Future;
The Bay of Kiel Climate Alliance takes a new Direction;
National Activities:
Second Regional Conference on Climate Adaptation Communities in Climate Change;
International Activities:
National Adaptation Strategies in the Baltic States;
Exchange of Experiences with Practitioners in the USA;
Chinese Delegation Shows Interest in Coastal Research in Kiel;
RADOST and Baltadapt at Green Week and the UN Climate Conference;
RADOST at the Baltic Sea Days
Publications:
Perceptions and Activities regarding Climate Change on
the German Baltic Sea Coast;
Handbook „Climate Change Adaptation Strategies in the
Baltic Sea Region“;
New Edition of “Meer & Küste”;
Assessment of the Influence of Climate Change on Development Potential for Near-surface Geothermal Energy
Content:
Regional Activities:
Science on Tour along the Baltic Sea Coast;
Climate Pavilion Schönberg Inaugurated;
New RADOST Partner: Hamburg University of Technology;
First Organic Mussels from Kiel;
International Activities:
Climate Change Impacts in the Baltic Sea Region: Assessment Report Provides Opportunity for Discussion;
Bottom-up Climate Adaptation Strategies towards a Sustainable Europe;
Transatlantic Exchange of Adaptation Measures;
Publications
Political and administrative structures play an important role in climate adaptation. Political scientific analysis can identify factors and scopes of action, which could increase the adaptive capacity. The Governance Team therefore investigated key sectors in the Metropolitan Region, including spatial planning, water management, coastal and inland flood protection,
and civil protection.
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.