Inversion of long-lived trace gas emissions using combined Eulerian and Lagrangian chemical transport models

Supplement related to this article is available online at: http://www.atmos-chem-phys.net/11/9887/2011/acp-11-9887-2011-supplement.zip.

Bibliographic Details
Main Authors: Manning, Alistair J., Rigby, Matthew, Prinn, Ronald G.
Other Authors: Massachusetts Institute of Technology. Center for Global Change Science
Format: Article
Language:en_US
Published: Copernicus GmbH 2012
Online Access:http://hdl.handle.net/1721.1/70030
https://orcid.org/0000-0001-5925-3801
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author Manning, Alistair J.
Rigby, Matthew
Prinn, Ronald G.
author2 Massachusetts Institute of Technology. Center for Global Change Science
author_facet Massachusetts Institute of Technology. Center for Global Change Science
Manning, Alistair J.
Rigby, Matthew
Prinn, Ronald G.
author_sort Manning, Alistair J.
collection MIT
description Supplement related to this article is available online at: http://www.atmos-chem-phys.net/11/9887/2011/acp-11-9887-2011-supplement.zip.
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spelling mit-1721.1/700302022-09-26T14:13:21Z Inversion of long-lived trace gas emissions using combined Eulerian and Lagrangian chemical transport models Manning, Alistair J. Rigby, Matthew Prinn, Ronald G. Massachusetts Institute of Technology. Center for Global Change Science Prinn, Ronald G. Rigby, Matthew Prinn, Ronald G. Supplement related to this article is available online at: http://www.atmos-chem-phys.net/11/9887/2011/acp-11-9887-2011-supplement.zip. We present a method for estimating emissions of long-lived trace gases from a sparse global network of high-frequency observatories, using both a global Eulerian chemical transport model and Lagrangian particle dispersion model. Emissions are derived in a single step after determining sensitivities of the observations to initial conditions, the high-resolution emissions field close to observation points, and larger regions further from the measurements. This method has the several advantages over inversions using one type of model alone, in that: high-resolution simulations can be carried out in limited domains close to the measurement sites, with lower resolution being used further from them; the influence of errors due to aggregation of emissions close to the measurement sites can be minimized; assumptions about boundary conditions to the Lagrangian model do not need to be made, since the entire emissions field is estimated; any combination of appropriate models can be used, with no code modification. Because the sensitivity to the entire emissions field is derived, the estimation can be carried out using traditional statistical methods without the need for multiple steps in the inversion. We demonstrate the utility of this approach by determining global SF6 emissions using measurements from the Advanced Global Atmospheric Gases Experiment (AGAGE) between 2007 and 2009. The global total and large-scale patterns of the derived emissions agree well with previous studies, whilst allowing emissions to be determined at higher resolution than has previously been possible, and improving the agreement between the modeled and observed mole fractions at some sites. 2012-04-13T18:06:32Z 2012-04-13T18:06:32Z 2011-09 2011-08 Article http://purl.org/eprint/type/JournalArticle 1680-7324 1680-7316 http://hdl.handle.net/1721.1/70030 Rigby, M., A. J. Manning, and R. G. Prinn. “Inversion of Long-lived Trace Gas Emissions Using Combined Eulerian and Lagrangian Chemical Transport Models.” Atmospheric Chemistry and Physics 11.18 (2011): 9887–9898. Web. 13 Apr. 2012. https://orcid.org/0000-0001-5925-3801 en_US http://dx.doi.org/10.5194/acp-11-9887-2011 Atmospheric Chemistry and Physics Creative Commons Attribution 3.0 http://creativecommons.org/licenses/by/3.0/ application/pdf Copernicus GmbH Copernicus
spellingShingle Manning, Alistair J.
Rigby, Matthew
Prinn, Ronald G.
Inversion of long-lived trace gas emissions using combined Eulerian and Lagrangian chemical transport models
title Inversion of long-lived trace gas emissions using combined Eulerian and Lagrangian chemical transport models
title_full Inversion of long-lived trace gas emissions using combined Eulerian and Lagrangian chemical transport models
title_fullStr Inversion of long-lived trace gas emissions using combined Eulerian and Lagrangian chemical transport models
title_full_unstemmed Inversion of long-lived trace gas emissions using combined Eulerian and Lagrangian chemical transport models
title_short Inversion of long-lived trace gas emissions using combined Eulerian and Lagrangian chemical transport models
title_sort inversion of long lived trace gas emissions using combined eulerian and lagrangian chemical transport models
url http://hdl.handle.net/1721.1/70030
https://orcid.org/0000-0001-5925-3801
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