The long-term plan of the Environmental Modeling Group is to develop integrated modelling approaches that address societally important environmental questions associated with human development. Questions of large importance, perhaps exacerbated by climate change, population growth, urbanisation, industrialisation and intensive agricultural practices, are addressed by the group. An important priority is to assess the impact of urbanisation on the regional and global environment.
A first task is to improve our ability to predict regional air pollution, specifically in Asia, South America and Africa. The development of comprehensive tools for the analysis and prediction of air quality can help decision-makers to take science-informed action to reduce chemical emissions, specifically in industrialized and urbanized regions. The Environmental Modeling Group will contribute to the development of such integrated modeling systems that base their predictions on assimilated satellite observations (initial conditions), updated emission inventories, chemical and microphysical transformations, multi-scale transport processes, and surface deposition.
The next generation models will account for the interactive processes between meteorology, gas phase chemistry and aerosols microphysics. Transport of chemical species across scales will be treated by global models that have unstructured grids and zooming capability to provide high-resolution information in specific regions. Applications of such models will be made in regions of complex topography such as the Andes in South America. Pre-operational modeling systems will be developed for applications in Asia, in South America and Africa. A better quantification of the influence of small-scale turbulence on the rate of reactions between pollutants, specifically in urban areas, where emissions are very heterogeneous and the small-scale dynamics very complex, will be performed.
1- PANDA workshop, 22-26 Feb. 2016, Guangzhou, China
2- Germany's WRF-Chem users workshop, Sep. 2016, Hamburg, Germany