Hinweise für REMO-Datennutzer beinhaltet folgende Punkte: Verfügbarkeit der Daten, Datenformat, Erläuterung zu Variablen, Vergelich mit anderern Daten, Klimaläufe, Häufige Fragen, sowie einen Anhnag mit Gitter- und Produktinformationen und ein Testprogramm in FORTRAN90 zum Einlesen und Herausschreiben der Daten und eine Codeliste
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%.
Das Poster zur RADOST-Abschlusskonferenz im April 2014 fasst Ergebnisse des RADOST-Fokusthemas Erneuerbare Energien zusammen. Als Beispiel wird die oberflächennahe Geothermie besonders berücksichtigt.
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.
Based on concepts for innovation processes and co-production of knowledge, approaches are investigated that address the urgent and complex problems related to climate change, because especially the participation of, and close collaboration with, practice partners is needed. The paper presents the agricultural knowledge management approach in the organic agriculture module of the R&D project INKA BB (Innovation Network for Climate Change Adaptation Brandenburg Berlin) in north-eastern Germany (Knierim et al. 2009). The methodology for the science-practice collaboration follows an action research approach that supports the communication and cooperation of researchers and practitioners. The framework is the action research cycle with iterative stages of planning, action, and reflection. The organic agriculture module, which addresses individual research questions on several farms, is presented as a good practice example for close transdisciplinary network cooperation. The workshop contribution will provide reflections on the innovation development process over two project years.
“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.
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.