Preprints
https://doi.org/10.5194/egusphere-2024-3571
https://doi.org/10.5194/egusphere-2024-3571
28 Feb 2025
 | 28 Feb 2025

Generalized local fractions – a method for the calculation of sensitivities to emissions from multiple sources for chemically active species, illustrated using the EMEP MSC-W model (rv5.5)

Peter Wind and Willem van Caspel

Abstract. This paper presents an extension of the original Local Fraction methodology, to allow the tracking of the sensitivity of chemically active air pollutants to emission sources. The generalized Local Fractions are defined as the linear sensitivities of chemical species to source emission changes, as propagated through the full set of non-linear chemical transformations. The method allows to track simultaneously sensitivities from hundreds of sources (typically countries or emission sectors) in a single simulation. The current work describes how the non-linear chemical transformations are taken into account in a rigorous manner, while validating the implementation of the method in the European Monitoring and Evaluation Programme (EMEP) Meteorological Synthesizing Centre – West (MSC-W) chemistry-transport model by examples. While effectively producing the same results as a direct 'brute force' method, where the impact of emission reductions of each source has to be computed in a separate scenario simulation, the generalized Local Fractions are an order of magnitude more computationally efficient when large numbers of scenarios are considered.

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Journal article(s) based on this preprint

27 Aug 2025
Generalized local fractions – a method for the calculation of sensitivities to emissions from multiple sources for chemically active species, illustrated using the EMEP MSC-W model (rv5.5)
Peter Wind and Willem van Caspel
Geosci. Model Dev., 18, 5397–5411, https://doi.org/10.5194/gmd-18-5397-2025,https://doi.org/10.5194/gmd-18-5397-2025, 2025
Short summary
Peter Wind and Willem van Caspel

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-3571', Anonymous Referee #1, 31 Mar 2025
  • RC2: 'Comment on egusphere-2024-3571', Anonymous Referee #2, 07 Apr 2025
  • AC1: 'Comment on egusphere-2024-3571', Peter Wind, 09 May 2025
  • AC2: 'Comment on egusphere-2024-3571', Peter Wind, 09 May 2025

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-3571', Anonymous Referee #1, 31 Mar 2025
  • RC2: 'Comment on egusphere-2024-3571', Anonymous Referee #2, 07 Apr 2025
  • AC1: 'Comment on egusphere-2024-3571', Peter Wind, 09 May 2025
  • AC2: 'Comment on egusphere-2024-3571', Peter Wind, 09 May 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Peter Wind on behalf of the Authors (09 May 2025)
EF by Polina Shvedko (12 May 2025)  Manuscript   Author's response   Author's tracked changes 
ED: Referee Nomination & Report Request started (06 Jun 2025) by Sergey Gromov
RR by Anonymous Referee #1 (09 Jun 2025)
RR by Anonymous Referee #2 (12 Jun 2025)
ED: Publish as is (13 Jun 2025) by Sergey Gromov
AR by Peter Wind on behalf of the Authors (16 Jun 2025)  Author's response   Manuscript 

Journal article(s) based on this preprint

27 Aug 2025
Generalized local fractions – a method for the calculation of sensitivities to emissions from multiple sources for chemically active species, illustrated using the EMEP MSC-W model (rv5.5)
Peter Wind and Willem van Caspel
Geosci. Model Dev., 18, 5397–5411, https://doi.org/10.5194/gmd-18-5397-2025,https://doi.org/10.5194/gmd-18-5397-2025, 2025
Short summary
Peter Wind and Willem van Caspel

Model code and software

EMEP/MSC-W model version rv5.5 with sample of input data Peter WInd and WIllem van Caspel https://doi.org/10.5281/zenodo.14162688

Peter Wind and Willem van Caspel

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
This paper presents a numerical method to assess the origin of air pollution. Combined with a numerical air pollution transport and chemistry model, it can follow the contributions from a large number of emission sources. The result is a series of maps that give the relative contributions from for example all European countries at each point.
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