001     1017547
005     20240712101043.0
020 _ _ |a 978-3-95806-717-2
024 7 _ |2 datacite_doi
|a 10.34734/FZJ-2023-04187
024 7 _ |2 URN
|a urn:nbn:de:0001-20240124102946902-5407247-8
037 _ _ |a FZJ-2023-04187
100 1 _ |0 P:(DE-Juel1)178810
|a Backes, Pascal
|b 0
|e Corresponding author
|u fzj
245 _ _ |a Polluter group specific emission optimisation for regional air quality analyses using four-dimensional variational data assimilation
|f - 2023-04-14
260 _ _ |a Jülich
|b Forschungszentrum Jülich GmbH
|c 2023
300 _ _ |a xxi, 115
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|a Thesis
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|a Dissertation / PhD Thesis
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336 7 _ |2 DRIVER
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490 0 _ |a Schriften des Forschungszentrums Jülich Reihe Energie & Umwelt / Energy & Environment
|v 615
502 _ _ |a Dissertation, Univ. Köln, 2023
|b Dissertation
|c Univ. Köln
|d 2023
520 _ _ |a Pollutants 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.
536 _ _ |0 G:(DE-HGF)POF4-2111
|a 2111 - Air Quality (POF4-211)
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|f POF IV
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|a DE-HGF
|b Forschungsbereich Erde und Umwelt
|l Erde im Wandel – Unsere Zukunft nachhaltig gestalten
|v Die Atmosphäre im globalen Wandel
|x 0
914 1 _ |y 2023
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