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Inverse modelling and combined state-source estimation for chemical weather

Author:
  • Hendrik Elbern
  • Achim Strunk
  • Lars Nieradzik
Publishing year: 2010-12-01
Language: English
Pages: 491-513
Publication/Series: Data Assimilation : Making Sense of Observations
Document type: Book chapter
Publisher: Springer

Abstract 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).

Keywords

  • Bioinformatics (Computational Biology)

Other

Published
  • ISBN: 9783540747031
  • ISBN: 9783540747024
E-mail: lars [dot] nieradzik [at] nateko [dot] lu [dot] se

Researcher

Dept of Physical Geography and Ecosystem Science

+46 46 222 39 77

453

16

Researcher

MERGE - ModElling the Regional and Global Earth system

C323

Sölvegatan 37, Lund

50

Department of Physical Geography and Ecosystem Science
Lund University
Sölvegatan 12
S-223 62 Lund
Sweden

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