| Summary: | The overall objective of the Swedish Clean Air and Climate Research Programme (SCAC) financed by the Swedish Environment Protection Agency (SEPA) is “To develop and improve the scientific basis for air pollution policies on national and international scales”. The present report summarizes the key findings of the Phase 1 of the programme (November 2013 – March 2017). The program has been successful in generation new knowledge in several areas for direct importance for both national and international policy. The international part covers results to be implemented within the CLRTAP, the EU and the Arctic Council. Some of the key findings are listed below: • A Scandinavian version of the GAINS model was developed, by which it is possible to optimize costs for air pollution measures with respect to the main pollutants and SLCPs. (WP1) • The choice of climate metric shows surprisingly little impact on the relative cost effectiveness of SLCP abatement measures in Sweden, even if including variation in climate metric values for the SLCPs. (WP1) • Current and future needs for national emission projections and scenarios were analysed as well as roles and responsibilities in the present system. Based on the analysis needs for changes have been identified. (WP2) • Systematic sensitivity analysis could improve the understanding and quantification of projections and it was shown how sensitivity analyses in emission projections and scenarios could be undertaken, taking different objectives into account. (WP2) • High-resolution dispersion models were developed for the three urban domains Göteborg, Stockholm and Umeå with respect to the most important source categories of particle emissions; traffic exhaust, road traffic non-exhaust, residential wood combustion, shipping and other activities. (WP3) • A new methodology was developed to calculate highly resolved (time and space) ozone concentrations without the need to use advanced photochemical modelling. The method was used to assess impact of ozone on pregnancy outcomes. (WP3) ...
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