Integrating surface-atmosphere Exchange Processes Across Scales - Modeling and Monitoring (IPAS)
Scales play an important role for the analysis and interpretation of climate-relevant feedback processes between biosphere and atmosphere. Particularly for highly structured domains such as Arctic permafrost landscapes, to accurately predict large-scale, long-term changes in ecosystem functionality, we need to investigate processes at fine-scales to understand the drivers of these changes. Also, new observational insight into links between ecosystem characteristics and carbon and energy processes needs to be assimilated into flexible modeling frameworks, ideally combining the individual advantages of different modeling philosophies.
Our working group integrates multi-disciplinary observational and modeling approaches, currently with a regional focus on Arctic permafrost landscapes. The monitoring techniques cover scales ranging from a few centimeters (e.g. soil cores) to thousands of kilometers (e.g. atmospheric trace gas mixing ratios), with a strong focus on atmospheric observations but also including disciplines such as hydrology and soil science. On the modeling site, the IPAS group customizes process-based biogeochemical models, data-driven statistical modeling and atmospheric inverse modeling techniques for application in high-latitude permafrost environments, with the overarching objective of combining their individual strengths, and assimilating the newly generated datasets.
To better understand the impact of heterogenous landscape features on the Arctic carbon cycle and to characterize the spatial variability of the carbon fluxes, we will use a UAS instrumented with greenhouse gas analyzers (CO2, CH4, H2O) and meteorological sensors.
Nathalie Ylenia Triches
The aim of this project is to answer the following questions: What is the magnitude and what are the drivers of the three most important greenhouse gases, carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), in spring, summer, and autumn? Are there differences between the seasons? Do N2O fluxes play a role in the Arctic, and what drives them?
This project aims to develop a pan-Arctic synthesis of new and existing freshwater carbon flux data to better understand underlying processes and inform high-resolution process models.
The project’s main aim is to improve the representation of wetlands in carbon upscaling studies in the Arctic based on CH4
flux fingerprints and their response to environmental factors, such as water table level, soil temperature and moisture, pH, etc.
The main goal of this project is to estimate Arctic CH4
emissions using atmospheric inverse modeling to evaluate and improve a new version of the biogeochemical process model JSBACH for simulating CH4
emissions from these permafrost ecosystems.
Global warming can alter hydrological pathways and therefore lateral carbon export conditions in permafrost regions. In this project we compared a drained and a control area to better understand mechanisms and processes explaining these alterations.