Articles | Volume 17, issue 9
https://doi.org/10.5194/gmd-17-3631-2024
https://doi.org/10.5194/gmd-17-3631-2024
Model evaluation paper
 | 
07 May 2024
Model evaluation paper |  | 07 May 2024

Emission ensemble approach to improve the development of multi-scale emission inventories

Philippe Thunis, Jeroen Kuenen, Enrico Pisoni, Bertrand Bessagnet, Manjola Banja, Lech Gawuc, Karol Szymankiewicz, Diego Guizardi, Monica Crippa, Susana Lopez-Aparicio, Marc Guevara, Alexander De Meij, Sabine Schindlbacher, and Alain Clappier

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Cited articles

Bebkiewicz, K., Boryń, E., Chłopek, Z., Chojacka, K., Kanafa, M., Kargulewicz, I., Rutkowski, J., Zasina, D., Zimakowska-Laskowska, M., Żaczek, M., and Waśniewska, S.: Poland's Informative Inventory Report, Institute of Environmental Protection – National Research Institute, KOBiZE, https://cdr.eionet.europa.eu/pl/un/clrtap/iir/envyi8lmq/IIR_2022_Poland.pdf (last access: 9 December 2022), 2022. 
Brasseur, G. P., Xie, Y., Petersen, A. K., Bouarar, I., Flemming, J., Gauss, M., Jiang, F., Kouznetsov, R., Kranenburg, R., Mijling, B., Peuch, V.-H., Pommier, M., Segers, A., Sofiev, M., Timmermans, R., van der A, R., Walters, S., Xu, J., and Zhou, G.: Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1, Geosci. Model Dev., 12, 33–67, https://doi.org/10.5194/gmd-12-33-2019, 2019. 
CEIP: Methodologies applied to the CEIP GNFR gap-filling 2022, Part I: Main Pollutants (NOx, NMVOCs, SOx, NH3, CO), Particulate Matter (PM2.5, PM10, PMcoarse) and Black Carbon (BC) for the years 1990 to 2020, Technical report CEIP 01/2022, https://www.ceip.at/ceip-reports (last access: 5 May 2023), 2022. 
Crippa, M., Guizzardi, D., Muntean, M., Schaaf, E., Dentener, F., van Aardenne, J. A., Monni, S., Doering, U., Olivier, J. G. J., Pagliari, V., and Janssens-Maenhout, G.: Gridded emissions of air pollutants for the period 1970–2012 within EDGAR v4.3.2, Earth Syst. Sci. Data, 10, 1987–2013, https://doi.org/10.5194/essd-10-1987-2018, 2018. 
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Short summary
An ensemble emission inventory is created with the aim of monitoring the status and progress made with the development of EU-wide inventories. This emission ensemble serves as a common benchmark for the screening and allows for the comparison of more than two inventories at a time. Because the emission “truth” is unknown, the approach does not tell which inventory is the closest to reality, but it identifies inconsistencies that require special attention.
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