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
Regional climate change projections show a changing climate in the metropolitan region of Hamburg for the end of the century: The temperature could increase and the precipitation in summer could decrease. To cope with the probably longer lasting and hotter summer conditions in Europe there are different possible adaptation measures in land management practice, e.g. forest conversion. That means the conversion of mostly coniferous forest monocultures to deciduous and mixed forests. Mixed forests are generally more adaptable in comparison to conifer forests. They ensure an increased groundwater recharge because of less canopy interception and reduced transpiration outside the growing season. An interesting question is how forest conversion would feedback to the regional climate under different climate conditions. To explore climate feedbacks, REMO (regional climate model at the Max Planck Institute for Meteorology, Hamburg) is applied. To get a more realistic representation of the land surface, a current dataset from a digital basis landscape model of the Federal Agency for Cartography and Geodesy is used instead of the standard representation of the land surface in REMO. In some areas of the metropolitan region of Hamburg the updated land surface increases the forest fraction. Additionally, all coniferous forest types are converted into broadleaf forest types to study the maximum impact on the simulated near surface climate. This set-up is used for a climate simulation with REMO, forced by ERA-INTERIM reanalysis data for the period of 1990-2008. Selected climate variables are analyzed and the associated processes are investigated: The different forest distributions affect particularly the evapotranspiration and thus the water- and energy cycle of the soil and the lower atmosphere. Especially, the effects in the very hot and dry year 2003 and in the wet year 2002 are analyzed. To study the impacts of the forest distributions under different climate conditions, a second climate simulation is set up with REMO, forced by ECHAM5-MPIOM for the historical period 1970-2000 and for the future time periods 2035-2065 and 2070-2100 under A1B emissions. This allows analyzing the impact of a changed forest cover under different climate conditions. It gives a first estimation of climate sensitivity.
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.
Content:
Regional Activities:
The Bay of Kiel Climate Alliance Receives BMU Support;
Northern German Regional Conference;
New Website Provides Information about the Need for Coastal Protection;
RADOST GIS Presents Water Quality Indicators;
Coastal Research, Use, and Protection;
National Activities:
KLIMZUG Final Conference;
International Activities:
HELCOM Workshop in Warnemünde;
RADOST at the Dupont Summit 2012;
Publications:
Results of the 2012 RADOST Tour;
Integrating Climate Change into Economic Analyses under the EU Water Framework Directive
Content:
Regional Activities:
Schoolchildren Explore Biodiversity in a Changing Climate;
Rügen in the Year 2030;
RADOST Findings in the “Climate Change in Northern Germany” Dossier;
International Activities:
RADOST at the ECCA Conference;
Adaptation in Mountain & Coastal Areas;
Publications:
Book Release: “Climate Change Adaptation in Practice”;
Contested Values and Practices in the US;
“Coastal & Marine” Magazine;
International Examples of Climate Change Adaptation
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
Impacts of climate change on agriculture have been predominantly analyzed by using biophysical and crop specific model applications. Vulnerability assessments which identify the vulnerability of regions with their farming systems are urgently required, because agricultural adaptations to climate change are related to regional specifics, and therefore research has to consider the regional level. Therefore sector- and system-specific approaches have to be developed. This paper presents the methodology of a vulnerability assessment for organic farming systems in the Brandenburg Region, which considers regional-specific climatic impact, as well as the regional-specific adaptive capacity. In this region, the cultivation and management of legume-grass swards have a key position, especially the climate change impact on legume symbiotic nitrogen fixation and nitrogen mineralization. Adaptation strategies of crop production systems include reduced soil tillage, which plays an important role also in organic farming systems (reducing soil erosion, improving water infiltration, reducing evaporation and improving soil structure, control of N-dynamics) are developed and tested by means of an action research approach.
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.