Preprints
https://doi.org/10.5194/egusphere-2024-3571
https://doi.org/10.5194/egusphere-2024-3571
28 Feb 2025
 | 28 Feb 2025
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

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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Peter Wind and Willem van Caspel

Status: open (until 25 Apr 2025)

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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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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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