Luftfremdstoffe / Umwelttechnik  
Immissionen / NABEL
Quellenzuordnung von Luftfremdstoffen
Atmosphärische Modellierung / Fernerkundung
Emissionen und Isotope
Laser Spektroskopie
Global Atmosphere Watch (GAW)

Group for Atmospheric Modeling and Remote Sensing

Anthropogenic emissions from industry, traffic, households and agriculture affect air quality and contribute to globally increasing greenhouse gas concentrations. Our group specializes in the application of Lagrangian and Eulerian atmospheric models as well as in air pollution remote sensing. We aim to better understand processes governing atmospheric trace gas and aerosol concentrations to answer environmentally pressing questions and to support policy makers. In particular, we focus on

  • Quantifying greenhouse gas emissions (halocarbons, CH4, CO2, etc.) using inverse methods
  • Simulating the effect of specific sources and future scenarios on air pollution levels
  • Understanding atmospheric processes (transport, chemistry, air quality – climate interactions)
  • Investigating air pollution using satellite and airborne remote sensing
Modelling of greenhouse gases and their sources
3D Animation of the positions of air parcels simulated by a Lagrangian model

Quantifying current and past greenhouse gas emissions is of fundamental importance to understand future climate change. Our group applies various atmospheric inversion techniques from the regional to the global scale combining observations with Lagrangian Particle Dispersion Modeling (LPDM). Inverse emission estimates help improving our understanding of important natural sources processes and can be used to check compliance with current and future anthropogenic emission regulations. Read more on

Air pollution modelling
Ilustration of a Eulerian model grid

Air pollution is a multifaceted problem involving many different pollutants, scales, processes and sources. We apply state-of-the-art numerical models to study air quality at regional to urban scales and investigate the role of different processes and emissions to provide guidance for policy makers and input for environmental assessments. Our main tools are the comprehensive chemistry-meteorology model COSMO-ART for regional scales and the nested system GRAMM/GRAL for urban and building-resolving scales.  These activities are closely linked to the Centre for Climate Systems Modeling (C2SM) of the ETH domain.

Remote Sensing
Artist's view of ESA's Envisat satellite

Satellite remote sensing has revolutionized our understanding of global air pollution since the first observations from the UV/VIS spectrometer GOME became available in 1995. We develop retrieval algorithms for trace gas remote sensing from satellites and airborne platforms with a focus on nitrogen dioxide (NO2) and specialize on the analysis of air pollution distributions at regional to urban scales. We are also a partner in ESA’s GHG-CCI project on greenhouse gas observations from satellites.

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Current Projects
Past Projects
Tools and Data Products
AGU Chapman Conference Advances in Lagrangian Modeling of the Atmosphere
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