Max Planck Gesellschaft

Atmospheric Remote Sensing (ARS)

The Atmospheric Remote Sensing (ARS) group investigates techniques that can measure atmospheric parameters from a distance. These remote-sensing techniques typically rely on electromagnetic radiation that has interacted with atmospheric constituents like greenhouse gas molecules or atmospheric particles (aerosols). From the analysis of the detected radiation one can derive atmospheric parameters that are important for the global carbon cycle.

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Airborne trace gas measurements and mesoscale modelling (ATM)

Aircraft campaigns measuring atmospheric greenhouse gases provide strong constraints for regional budgets, as they deliver a high density of data within a targeted region. In addition, they provide a 3-dimensional context for long-term measurements made at ground sites. Atmospheric transport modeling at high spatial resolution using weather prediction models in combination with biospheric flux models is used to interpret data from such airborne campaigns.

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Inverse data-driven estimation (IDE)

Quantification of the large-scale sources and sinks of CO2 and other greenhouse gases is essential to understand the climate system and its feedbacks. Based on measurements of the atmospheric composition and various other data streams, inverse methods are used to obtain data-driven estimates of trace gas exchanges and their relation to climatic controls.

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Integrating surface-atmosphere Exchange Processes Across Scales - Modeling and Monitoring (IPAS)

This working group focuses on the integration of surface-atmosphere exchange processes across scales to investigate influence factors and mechanisms driving greenhouse gas flux patterns. Our research aims at environments where fluxes are highly variable in both space and time, so the scales of analysis play an important role for the interpretation of climate-relevant feedback processes between biosphere and atmosphere.

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Tall Tower Atmospheric Gas Measurements (TAG)

High precision, ground-based, and vertically resolved quasi-continuous atmospheric measurements of biogeochemical trace gases at coastal and continental sites are vital for the study of atmospheric transport, biogeochemical fluxes and human emissions. Our group develops and maintains atmospheric measurement sites and instrumentation with the objective of investigating global climate hot-spots and supporting the global atmospheric observational system.

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Carbon Cycle Data Assimilation (CCDAS)

Feedbacks between terrestrial biogeochemistry and climate are essential for understanding past and projecting future changes in atmospheric greenhouse gas concentrations and climate. Terrestrial biosphere models summarize current knowledge of the interactions between landsurface processes and climate on many timescales. Our group develops methods to test and improve these models with the objective of enhancing the predictive capacity of Earth System Models.

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Satellite-based remote sensing of greenhouse gases (SRS)

Satellite-based remote sensing deliver information about the distribution of trace gases in the atmosphere with extraordinary spatial coverage and temporal resolution, providing orders of magnitude more observations than the traditional ground-based measurement networks. However these data are less accurate than ground-based measurements, and are often plagued by systematic errors which can be difficult to diagnose and correct. Nonetheless, this relatively new data stream has the potential to enrich our knowledge of the earth system and its processes, particularly in regions where the current measurement network is lacking.

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