Synergistic Use of Retrieved Trace Constituent Distributions and Numerical Modelling
Kanakidou, Maria ; Dameris, Martin ; Elbern, Hendrik ; Beekmann, Matthias ; Konovalov, Igor B. ; Nieradzik, Lars LU
; Strunk, Achim
and Krol, Maarten C.
(2011)
p.451-492
- Abstract (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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/390e9ee6-2ea0-4e3f-94b0-b48ca65e630e
- author
- Kanakidou, Maria
; Dameris, Martin
; Elbern, Hendrik
; Beekmann, Matthias
; Konovalov, Igor B.
; Nieradzik, Lars
LU
; Strunk, Achim
and Krol, Maarten C.
- publishing date
- 2011
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- host publication
- The Remote Sensing of Tropospheric Composition from Space
- editor
- Burrows, John P. ; Borrell, Peter and Platt, Ulrich
- pages
- 42 pages
- publisher
- Springer
- ISBN
- 978-3-642-14791-3
- DOI
- 10.1007/978-3-642-14791-3_9
- language
- English
- LU publication?
- no
- id
- 390e9ee6-2ea0-4e3f-94b0-b48ca65e630e
- date added to LUP
- 2021-10-26 12:34:41
- date last changed
- 2022-01-28 17:08:54
@inbook{390e9ee6-2ea0-4e3f-94b0-b48ca65e630e,
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.}},
author = {{Kanakidou, Maria and Dameris, Martin and Elbern, Hendrik and Beekmann, Matthias and Konovalov, Igor B. and Nieradzik, Lars and Strunk, Achim and Krol, Maarten C.}},
booktitle = {{The Remote Sensing of Tropospheric Composition from Space}},
editor = {{Burrows, John P. and Borrell, Peter and Platt, Ulrich}},
isbn = {{978-3-642-14791-3}},
language = {{eng}},
pages = {{451--492}},
publisher = {{Springer}},
title = {{Synergistic Use of Retrieved Trace Constituent Distributions and Numerical Modelling}},
url = {{http://dx.doi.org/10.1007/978-3-642-14791-3_9}},
doi = {{10.1007/978-3-642-14791-3_9}},
year = {{2011}},
}