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.
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
This work deal with a comparison between the common
"bathtub method" and a state-of-the-art hydrodynamic model, called MIKE21 HD Flow Model, for modelling storm surges. The aim of this study is to work out the differences between both approaches and to find out how probable differences look like. There is the question if the "bathtub method" represents flooding adequate or, if the consideration of physics by hydrodynamic models makes a major difference and displays maybe the "real" risk of
inundations. This work tries to underline the differences between those two approaches, where the strengths and weaknesses are and what influence those differences have for an inundation analysis. The investigation was made on a digital elevation model for the study area of Kiel, the capital city of the state Schleswig-Holstein in Germany. The two approaches were made on data for a small storm surge on the basis of water-level-change and wind-regime data from 2010.
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
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.
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.
In light of projected climate change impacts in the Baltic Sea region, there is a strong need for enhanced understanding about adaptation needs. In this regard, the role of local level decision makers will be crucial to the success of such adaptation strategies. This primer aims to provide local decision makers with insights and knowledge on the subject. This primer has been prepared as part of the project RADOST (Regional Adaptation Strategies for the
German Baltic Sea Coast), which is funded by the
German Federal Ministry of Education and Research.
As a gateway between ground and sea transportation, and as
a business location for service and industry, ports are of great significance for the regional and national economy. At the same time, port structures are located in regions threatened by storms and rising sea levels. Due to highly interdependent value chains,weather related disruptions in port operation can cause serious economic damage. Thus, adaptation to possible climate impacts seems like an obvious task for port authorities. The article analyses the climate vulnerability of German Baltic port locations.