Synergistic Use of Retrieved Trace Constituent Distributions and Numerical Modelling View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

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

ABSTRACT

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. More... »

PAGES

451-492

Book

TITLE

The Remote Sensing of Tropospheric Composition from Space

ISBN

978-3-642-14790-6
978-3-642-14791-3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-14791-3_9

DOI

http://dx.doi.org/10.1007/978-3-642-14791-3_9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017408747


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