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.
“Adaptation to climate change” as a new field of knowledge challenges agricultural and horticultural (vocational) education and extension. Farmers and horticulturists are confronted with vague scientific findings at best. A broad variety of global climate scenarios is “projected” onto regions and exact predictions are usually not possible. Often, personal observations and experiences seem to contradict scientific assertions. Under this condition farmers and policy makers must decide about future land use.
What does this imply for capacity building? How to transform insecurity into concrete educational measures and programs?
The authors discuss their first experiences within a German R&D network (INKA BB) in which they develop capacity building programs. Two examples from urban agriculture / urban gardening will be used as case studies. Strengths and weaknesses of the development processes and their management will be discussed.
Since the topic is complex and adaptation is a continuous activity, learning in connection with climate change adaptation ideally begins on elementary level, continues in higher and vocational training, and does not end with extension. In other words: “learning chains” must be developed which enable life-long learning in formal, non-formal and informal learning environments.
Competencies are needed beyond classical technological and economic skills. Problem solving - from problem perception, analysis, generation of alternative solutions, to implementation and evaluation - with a key competence in critical analysis and reflection of contemporary research findings - gain in importance.
In INKA BB, participation is seen as axiomatic. As a consequence, an action-oriented, participatory approach has been chosen which enables mutual learning among partners from research, formal and informal, elementary, higher and vocational education.
A crucial point is the question of “Who could be the bridge between science and the educational practitioner?” In INKA BB, a specific working group (the subproject on “Knowledge Management and Transfer”) facilitates the development processes and therefore plays a liaison role between theory and practice. In the long-run, sustainable ownership of this process must be achieved. A combination of network building, mutual learning in permanent work groups, provision of technical trainings, and joint planning, testing, monitoring and evaluation is seen as a precondition.
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.
Over the last decades, Fucus vesiculosus, an ecologically important macroalga in the German Baltic Sea, has shown a massive retreat from the deeper zones of its former distribution presumably due to low light co-acting with other potential stressors such as high temperature, fouling, and grazing. In shallow water F. vesiculosus may be exposed to high water temperatures during summer seasons. Intensity and frequency of heat waves are expected to increase due to climate change which could potentially affect all fucoid life stages. Early life stage processes (fertilization, germination) are often considered particularly sensitive to stress. If the mortality caused by a first heat wave in a genetically diverse population selects for stress resistance, we would expect the survivors to be less sensitive to a second heat wave or possibly even to other stressors like feeding pressure.
In the present study, the mortality of early post-settlement stages of F. vesiculosus under thermal stress and the sensitivity of survived recruits against a proximate stressor (feeding pressure, second heat wave) were analysed by laboratory experiments. The mortality of early fucoid life stages at 25°C, compared to their mortality at 15°C was significantly higher. Regrettably, the ensuing assessment of feeding impact by Idotea baltica and Hydrobia ulvae on the surviving germlings could not be analysed since the two consumer species unexpectedly avoided feeding on the young stages of F. vesiculosus. During the second thermal stress experiment fucoid offspring which was genetically preselected by high temperature (first heat wave: 25°C) differed not significantly in sensitivity from fucoid offspring without prior stress.
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
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.
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.