Book/Dissertation / PhD Thesis

FZJ-2023-04187

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Polluter group specific emission optimisation for regional air quality analyses using four-dimensional variational data assimilation

Backes, P. (Corresponding author)FZJ*

2023
Forschungszentrum Jülich GmbH Jülich
ISBN: 978-3-95806-717-2

This record in other databases:

Please use a persistent id in citations: urn:nbn:de:0001-20240124102946902-5407247-8  doi:10.34734/FZJ-2023-04187

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.

Note: Dissertation, Univ. Köln, 2023

---

Contributing Institute(s):

1. Troposphäre (IEK-8)

Research Program(s):

1. 2111 - Air Quality (POF4-211) (POF4-211)

Appears in the scientific report 2023

---

Database coverage:
;

---