Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 11
Articles | Volume 13, issue 11
https://doi.org/10.5194/gmd-13-5725-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-5725-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 11
Methods for assessment of models
 | 
23 Nov 2020
Methods for assessment of models |  | 23 Nov 2020

Prioritising the sources of pollution in European cities: do air quality modelling applications provide consistent responses?

Bart Degraeuwe, Enrico Pisoni, and Philippe Thunis

Supplement

https://doi.org/10.5194/gmd-13-5725-2020-supplement

Model code and software

Source code for the SHERPA source receptor relationships Bart Degraeuwe, Enrico Pisoni, and Philippe Thunis https://doi.org/10.5281/zenodo.4059770

Routines and data to compare different source-receptor relationships results Bart Degraeuwe, Enrico Pisoni, and Philippe Thunis https://doi.org/10.5281/zenodo.4059786

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Short summary
To make decisions on how to improve air quality, it is useful to identify the main sources of pollution for an area of interest. Often these sources of pollution are identified with complex models that, even if accurate, are time consuming and complex. In this work we use another approach, simplified models, to accomplish the same task. The results, computed with two different set of simplified models, show the main sources of pollution for selected cities, and the associated uncertainties.
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