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001017547 005__ 20240712101043.0
001017547 0247_ $$2datacite_doi$$a10.34734/FZJ-2023-04187
001017547 0247_ $$2URN$$aurn:nbn:de:0001-20240124102946902-5407247-8
001017547 020__ $$a978-3-95806-717-2
001017547 037__ $$aFZJ-2023-04187
001017547 1001_ $$0P:(DE-Juel1)178810$$aBackes, Pascal$$b0$$eCorresponding author$$ufzj
001017547 245__ $$aPolluter group specific emission optimisation for regional air quality analyses using four-dimensional variational data assimilation$$f- 2023-04-14
001017547 260__ $$aJülich$$bForschungszentrum Jülich GmbH$$c2023
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001017547 4900_ $$aSchriften des Forschungszentrums Jülich Reihe Energie & Umwelt / Energy & Environment$$v615
001017547 502__ $$aDissertation, Univ. Köln, 2023$$bDissertation$$cUniv. Köln$$d2023
001017547 520__ $$aPollutants in the atmosphere, such as nitrogen oxides and particulate matter, pose a threat to the environment and human health. In addition to natural sources, anthropogenic emissions contribute significantly to air pollution. Since emission rates cannot be measured directly, their estimates provided by research institutes and national environmental agencies are subject to considerable uncertainty. However, for accurate air quality forecasts using atmospheric chemical transport models such as the regional European Air pollution Dispersion - Inverse Model (EURAD-IM),reliable emission data are crucial. To correct the emission data of inventories based on observations of trace gas and aerosol concentrations in the atmosphere, the EURAD-IM comprises a four dimensional variational data assimilation system (4D-Var) that allows for simultaneous optimisation of initial concentrations and species-dependent emission corrections.
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