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@PHDTHESIS{Backes:1017547,
author = {Backes, Pascal},
title = {{P}olluter group specific emission optimisation for
regional air quality analyses using four-dimensional
variational data assimilation},
volume = {615},
school = {Univ. Köln},
type = {Dissertation},
address = {Jülich},
publisher = {Forschungszentrum Jülich GmbH},
reportid = {FZJ-2023-04187},
isbn = {978-3-95806-717-2},
series = {Schriften des Forschungszentrums Jülich Reihe Energie $\&$
Umwelt / Energy $\&$ Environment},
pages = {xxi, 115},
year = {2023},
note = {Dissertation, Univ. Köln, 2023},
abstract = {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.},
cin = {IEK-8},
cid = {I:(DE-Juel1)IEK-8-20101013},
pnm = {2111 - Air Quality (POF4-211)},
pid = {G:(DE-HGF)POF4-2111},
typ = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
urn = {urn:nbn:de:0001-20240124102946902-5407247-8},
doi = {10.34734/FZJ-2023-04187},
url = {https://juser.fz-juelich.de/record/1017547},
}