Articles | Volume 17, issue 9
https://doi.org/10.5194/gmd-17-3867-2024
https://doi.org/10.5194/gmd-17-3867-2024
Model description paper
 | 
15 May 2024
Model description paper |  | 15 May 2024

FUME 2.0 – Flexible Universal processor for Modeling Emissions

Michal Belda, Nina Benešová, Jaroslav Resler, Peter Huszár, Ondřej Vlček, Pavel Krč, Jan Karlický, Pavel Juruš, and Kryštof Eben

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Cited articles

ARAMIS: Air quality Research, Assessment and Monitoring Integrated System (information on the project in the on-line database of the Czech research), https://starfos.tacr.cz/en/projekty/SS02030031 (last access: 16 October 2023), 2023a. a
ARAMIS: Air quality Research, Assessment and Monitoring Integrated System (project website), https://www.projekt-aramis.cz/ (last access: 16 October 2023), 2023b. a, b
Belda, M., Krč, P., Resler, J., Huszár, P., Benešová, N., Karlický, J., and Juruš, P.: FUME-dev/fume: Official 2.0r1 release, Zenodo [code], https://doi.org/10.5281/zenodo.10814674, 2024. a
Benešová, N., Belda, M., Resler, J., Huszár, P., and Vlček, O.: FUME user cases, National Repository [data set], https://doi.org/10.48700/datst.bf6s2-5tq48, 2023. 
Bieser, J., Aulinger, A., Matthias, V., Quante, M., and Builtjes, P.: SMOKE for Europe – adaptation, modification and evaluation of a comprehensive emission model for Europe, Geosci. Model Dev., 4, 47–68, https://doi.org/10.5194/gmd-4-47-2011, 2011. a
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Short summary
For modeling atmospheric chemistry, it is necessary to provide data on emissions of pollutants. These can come from various sources and in various forms, and preprocessing of the data to be ingestible by chemistry models can be quite challenging. We developed the FUME processor to use a database layer that internally transforms all input data into a rigid structure, facilitating further processing to allow for emission processing from the continental to the street scale.