Lars Nieradzik
Researcher
Inverse modelling and combined state-source estimation for chemical weather
Author
Summary, in English
Air quality data assimilation aims to find a best estimate of the control parameters (see theory chapter) for those processes of the atmosphere which govern the chemical evolution of biologically relevant height levels, typically located in the the lowermost atmosphere. As in data assimilation (see theory chapters), we have to resort to numerical models to complement usually sparse observation networks; these models serve as system constraints. Several research groups are developing data assimilation methods similar to those applied to meteorological applications. Techniques range from nudging to advanced spatio-temporal methods such as four-dimensional variational (4D-Var) data assimilation and various simplifications of the Kalman filter (KF).
Publishing year
2010-12-01
Language
English
Pages
491-513
Publication/Series
Data Assimilation : Making Sense of Observations
Document type
Book chapter
Publisher
Springer
Topic
- Bioinformatics (Computational Biology)
Status
Published
ISBN/ISSN/Other
- ISBN: 9783540747031
- ISBN: 9783540747024