- 1University of Applied Science Weihenstephan-Triesdorf, Institute of Ecology and Landscape, Peatland Science Centre, Germany (florian.braumann@hswt.de)
- 2Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research Atmospheric Environmental Research, Germany (sergey.blagodatskiy@kit.edu)
The ITMS (Integriertes Treibhausgas-Monitoring System) Sources and Sinks module of the long-term project funded by the German Federal Ministry of Education and Research develops modeling techniques to simulate greenhouse gas fluxes with high spatial and temporal resolution for Germany. The integration of existing experimental data from national and Bavarian projects with new measurements from natural, drained and rewetted peat soils in the MODELPEAT project enables the modification and improvement of the process-based model LandscapeDNDC to allow also the simulation of peatland GHG exchange. At the same time, empirical modeling approaches are optimized for detailed peatland GHG characterization. Comparative analyses of both approaches will highlight their respective strengths, weaknesses and uncertainties and will help to find the optimal strategy for GHG exchange modeling at regional and national scales. This work is crucial for the identification of emission hotspots and the development of effective mitigation strategies. The poster will provide an overview of the project and preliminary modeling results for several peatland sites in Bavaria, where detailed experimental observations spanning decades are available. It will facilitate an evaluation of the model´s performance in representing undisturbed, drained, and restored peatlands. These estimates will be compared with regional estimates derived using statistical approaches.
How to cite: Braumann, F., Blagodatskiy, S., Klatt, J., Friedrich, S., Scheer, C., Kiese, R., and Drösler, M.: Modeling of greenhouse gas emissions from peatlands in Germany: merging empirical and process-based model approaches, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-16249, https://doi.org/10.5194/egusphere-egu25-16249, 2025.