Atmospheric Remote Sensing
Airborne trace gas measurements and mesoscale modelling
Inverse data-driven estimation
Integrating surface-atmosphere Exchange Processes Across Scales - Modeling and Monitoring
Tall Tower Atmospheric Gas Measurements
Carbon Cycle Data Assimilation
Satellite-based remote sensing of greenhouse gases
The Carbon Cycle Data Assimilation Group (CCDAS) is a cross-departmental research group between the Departments of Biogeochemical Systems and Biogeochemical Integration. Its major goals are
To accomplish this goal, the group develops a framework for inverse modelling of the recent terrestrial biosphere dynamics (notably the carbon cycle) at different temporal and spatial scales. The work consists of assimilating local and global scale carbon cycle observations and derived data products (such as remote sensing data) to constrain the terrestrial component of the MPI Earth system model (JSBACH). The Jena Scheme for Biosphere Atmosphere Coupling in Hamburg is jointly developed by the Max Planck Institute for Meteorology and Max Planck Institute for Biogeochemistry. The model operates at a half-hourly time-step and simulates carbon dynamics and biogeophysical interactions with the climate system. Together with FastOpt, CCDAS is developing a data assimilation system for JSBACH based on the adjoint version of the code.
Interested in more details about the group and department? Read more!