There are important interactions between climate and air quality strategies, and development, economic and social policy objectives. However, maximizing the potential co-benefits from these - well-documented - interactions poses a host of complex challenges to decision makers. Unless put into context, these interactions could not only prohibit a cost-effective solution to both problems, but also lead to important trade-offs that unnecessarily waste important resources.
Model analyses, based on latest scientific findings and validated data, can provide valuable information on the design of (cost-)effective strategies that meet multiple policy objectives and yield potentially large economic synergies.
With an interdisciplinary team of researchers, MAG builds innovative methodologies that bring together relevant insights from recent research on geo-physical and economic aspects of pollution control. The program develops advanced analytical tools to identify pollution control strategies that put least burden to the economy while maximizing a wide range of environmental benefits. Together with a network of collaborators, MAG uses these tools to inform international negotiations and national planners in different regions of the world.
Including the temporal change in PM2.5 concentration in the assessment of human health impact: Illustration with renewable energy scenarios to 2050
Environmental Impact Assessment Review, Article in press (Published online 26 September 2014) More
Spatial distributions and seasonal cycles of aerosol climate effects in India seen in a global climate-aerosol model
Atmospheric Chemistry and Physics, 14(18):10177-10192 (24 September 2014) More
Summertime tropospheric ozone assessment over the Mediterranean region using the thermal infrared IASI/MetOp sounder and the WRF-Chem model
Atmospheric Chemistry and Physics, 14(18):10119-10131 (23 September 2014) More
Last edited: 17 April 2014
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