An extended Kalman-filter for regional scale inverse emission estimation

A Kalman-filter based inverse emission estimation method for long-lived trace gases is presented for use in conjunction with a Lagrangian particle dispersion model like FLEXPART. The sequential nature of the approach allows tracing slow seasonal and interannual changes rather than estimating a singl...

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Main Authors: D. Brunner, S. Henne, C. A. Keller, S. Reimann, M. K. Vollmer, S. O'Doherty, M. Maione
Format: Article
Language:English
Published: Copernicus Publications 2012-04-01
Series:Atmospheric Chemistry and Physics
Online Access:http://www.atmos-chem-phys.net/12/3455/2012/acp-12-3455-2012.pdf
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spelling doaj-1b2658a66e2c4cea8da40256899f781f2020-11-24T22:23:08ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242012-04-011273455347810.5194/acp-12-3455-2012An extended Kalman-filter for regional scale inverse emission estimationD. BrunnerS. HenneC. A. KellerS. ReimannM. K. VollmerS. O'DohertyM. MaioneA Kalman-filter based inverse emission estimation method for long-lived trace gases is presented for use in conjunction with a Lagrangian particle dispersion model like FLEXPART. The sequential nature of the approach allows tracing slow seasonal and interannual changes rather than estimating a single period-mean emission field. Other important features include the estimation of a slowly varying concentration background at each measurement station, the possibility to constrain the solution to non-negative emissions, the quantification of uncertainties, the consideration of temporal correlations in the residuals, and the applicability to potentially large inversion problems. The method is first demonstrated for a set of synthetic observations created from a prescribed emission field with different levels of (correlated) noise, which closely mimics true observations. It is then applied to real observations of the three halocarbons HFC-125, HFC-152a and HCFC-141b at the remote research stations Jungfraujoch and Mace Head for the quantification of emissions in Western European countries from 2006 to 2010. Estimated HFC-125 emissions are mostly consistent with national totals reported to UNFCCC in the framework of the Kyoto Protocol and show a generally increasing trend over the considered period. Results for HFC-152a are much more variable with estimated emissions being both higher and lower than reported emissions in different countries. The highest emissions of the order of 700–800 Mg yr<sup>−1</sup> are estimated for Italy, which so far does not report HFC-152a emissions. Emissions of HCFC-141b show a continuing strong decrease as expected due to its controls in developed countries under the Montreal Protocol. Emissions from France, however, were still rather large, in the range of 700–1000 Mg yr<sup>−1</sup> in the years 2006 and 2007 but strongly declined thereafter.http://www.atmos-chem-phys.net/12/3455/2012/acp-12-3455-2012.pdf
collection DOAJ
language English
format Article
sources DOAJ
author D. Brunner
S. Henne
C. A. Keller
S. Reimann
M. K. Vollmer
S. O'Doherty
M. Maione
spellingShingle D. Brunner
S. Henne
C. A. Keller
S. Reimann
M. K. Vollmer
S. O'Doherty
M. Maione
An extended Kalman-filter for regional scale inverse emission estimation
Atmospheric Chemistry and Physics
author_facet D. Brunner
S. Henne
C. A. Keller
S. Reimann
M. K. Vollmer
S. O'Doherty
M. Maione
author_sort D. Brunner
title An extended Kalman-filter for regional scale inverse emission estimation
title_short An extended Kalman-filter for regional scale inverse emission estimation
title_full An extended Kalman-filter for regional scale inverse emission estimation
title_fullStr An extended Kalman-filter for regional scale inverse emission estimation
title_full_unstemmed An extended Kalman-filter for regional scale inverse emission estimation
title_sort extended kalman-filter for regional scale inverse emission estimation
publisher Copernicus Publications
series Atmospheric Chemistry and Physics
issn 1680-7316
1680-7324
publishDate 2012-04-01
description A Kalman-filter based inverse emission estimation method for long-lived trace gases is presented for use in conjunction with a Lagrangian particle dispersion model like FLEXPART. The sequential nature of the approach allows tracing slow seasonal and interannual changes rather than estimating a single period-mean emission field. Other important features include the estimation of a slowly varying concentration background at each measurement station, the possibility to constrain the solution to non-negative emissions, the quantification of uncertainties, the consideration of temporal correlations in the residuals, and the applicability to potentially large inversion problems. The method is first demonstrated for a set of synthetic observations created from a prescribed emission field with different levels of (correlated) noise, which closely mimics true observations. It is then applied to real observations of the three halocarbons HFC-125, HFC-152a and HCFC-141b at the remote research stations Jungfraujoch and Mace Head for the quantification of emissions in Western European countries from 2006 to 2010. Estimated HFC-125 emissions are mostly consistent with national totals reported to UNFCCC in the framework of the Kyoto Protocol and show a generally increasing trend over the considered period. Results for HFC-152a are much more variable with estimated emissions being both higher and lower than reported emissions in different countries. The highest emissions of the order of 700–800 Mg yr<sup>−1</sup> are estimated for Italy, which so far does not report HFC-152a emissions. Emissions of HCFC-141b show a continuing strong decrease as expected due to its controls in developed countries under the Montreal Protocol. Emissions from France, however, were still rather large, in the range of 700–1000 Mg yr<sup>−1</sup> in the years 2006 and 2007 but strongly declined thereafter.
url http://www.atmos-chem-phys.net/12/3455/2012/acp-12-3455-2012.pdf
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