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
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:
“Lust op dat Meer:” Conclusion and Challenges Ahead;
Quo Vadis – Baltic Sea Coast?
The Sense behind Measurement;
National Activities:
KLIMZUG Status Conference;
New Funding Opportunity for Adaptation Measures;
Communication with Public Agencies and Offices;
International Activities:
Workshop Series: “Climate Knowledge for Regional Coastal
Stakeholders in the Eastern Baltic Sea Region”;
Mussel Farming in the Baltic Sea;
Publications:
Second RADOST Annual Report;
A survey of the perceptions of regional political decision makers
Content:
Regional Activities:
RADOST Annual Conference 2011 in Travemünde;
Research at Anchor;
Stakeholder Analysis;
RADOST-Workshop “Coastal Tourism”;
BSSSC/BALTEX Conference “Adaptation to Climate Change
on the Regional Level”;
Workshop “Baltic Sea and Baltic Sea Coast between Climate Change and Climate Adaptation”;
Mussel Workshop at the Institute for Baltic Sea Research Warnemünde;
International Activities:
Climate Change, the Science Policy Interface and Coastal Zone Management;
Workshops on Regional Availability of Climate Knowledge in the Baltic Sea Region
Adaptation to climate change requires the implementation of new and revision of existing policies in order to change collective behaviour in a way that reduces vulnerability to the impacts of climate change. At the same time, the efficiency of environmental governance has been questioned due to perceived deficiencies in implementation in the past. As a consequence, it is observed that high levels of adaptive capacity are often not used for adaptive action, and therefore communities remain vulnerable. This thesis is looking at the socio-cognitive dimension of adaptation from the perspective of socio-cultural construction of values and practices that influence risk perceptions and behavioural intentions in coastal management and adaptation to climate variability and change. The construction of values and practices is analysed through discursive fields on the respective topics in local media from three states on the US mid-Atlantic coast.
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.