Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Default user image.

Lars Nieradzik

Forskare

Default user image.

Synergistic Use of Retrieved Trace Constituent Distributions and Numerical Modelling

Författare

  • Maria Kanakidou
  • Martin Dameris
  • Hendrik Elbern
  • Matthias Beekmann
  • Igor B. Konovalov
  • Lars Nieradzik
  • Achim Strunk
  • Maarten C. Krol

Redaktör

  • John P. Burrows
  • Peter Borrell
  • Ulrich Platt

Summary, in Swedish

Atmospheric models are used both to assist in the retrieval of information about tropospheric composition and to interpret the results. The models themselves encompass much of our knowledge and understanding about trace components in the atmosphere and so they themselves must be tested against data. Care must be taken not to mix the dual role so that one can be sure of the conclusions drawn, and also be alert to any new phenomena that may be revealed by the data. These issues are dealt with and illustrated here. Chapter 9 goes on to discuss inverse modelling which is used, for example, to deduce emissions from regional and global data sets. Another important topic is data assimilation in which data and models are combined to derive improved concentration fields and, for example, to make forecasts. A summary provides some perspectives for future work. There is also a useful appendix on the principles of inverse modelling.

Publiceringsår

2011

Språk

Engelska

Sidor

451-492

Publikation/Tidskrift/Serie

The Remote Sensing of Tropospheric Composition from Space

Dokumenttyp

Del av eller Kapitel i bok

Förlag

Springer

Status

Published

ISBN/ISSN/Övrigt

  • ISBN: 978-3-642-14791-3