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SIP-Strategiske instituttprogram

Development and use of ensemble based data assimilation methods in atmospheric chemistry modelling

Tildelt: kr 4,5 mill.

As an internationally recognized centre for research and expertise in air pollution and atmospheric chemistry, NILU provides technical premises for a sustainable management of the atmosphere. This ranges from assessment of air quality in urban environment s, to global chemistry in the stratosphere. For this purpose, NILU uses both models and observational data. Until now, however, models have mainly used observations for evaluation and validation purposes only. Data assimilation is the combination of obse rvations with models in order to improve and reduce uncertainties in model results. Weather forecasting has benefited substantially from the use of data assimilation but its application in atmospheric chemistry modelling is still in its early stages. The aim of this programme is to enable NILU to explore the use of data assimilation to improve air quality and atmospheric chemistry models. To this end, a particular class of data assimilation techniques, known as ensemble methods, will be adapted and appli ed to a number of air quality and atmospheric chemistry models. Three applications of data assimilation have been chosen; that of urban air quality modelling, regional chemical transport modelling, and stratospheric ozone trajectory modelling. Even though the scales and applications are very different, the basic assimilation methodology remains the same, and is applicable to all. Data assimilation will lead to improved assessment of air quality in cities, better descriptions of regional air pollution and will enhance our understanding of chemical and physical processes of the stratosphere. This will benefit local, national, European and other authorities concerned with air quality issues, as well as health authorities carrying out exposure studies. Build ing up competence in this area is important for NILU in order to produce the most complete assessment of air quality and atmospheric chemistry at different scales.

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SIP-Strategiske instituttprogram