Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 9
Articles | Volume 16, issue 9
https://doi.org/10.5194/gmd-16-2689-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-2689-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 9
Model evaluation paper
 | 
17 May 2023
Model evaluation paper |  | 17 May 2023

Long-term evaluation of surface air pollution in CAMSRA and MERRA-2 global reanalyses over Europe (2003–2020)

Aleksander Lacima, Hervé Petetin, Albert Soret, Dene Bowdalo, Oriol Jorba, Zhaoyue Chen, Raúl F. Méndez Turrubiates, Hicham Achebak, Joan Ballester, and Carlos Pérez García-Pando

Supplement

https://doi.org/10.5194/gmd-16-2689-2023-supplement

Data sets

Atmosphere Data Store Copernicus Atmosphere Monitoring Service (CAMS) https://atmosphere.copernicus.eu/data

Air Quality e-Reporting (AQ e-Reporting) European Environment Agency https://www.eea.europa.eu/data-and-maps/data/aqereporting-9

AirBase - The European air quality database European Environment Agency https://www.eea.europa.eu/data-and-maps/data/airbase-the-european-air-quality-database-8

Data Collections NASA https://disc.gsfc.nasa.gov/datasets?project=MERRA-2

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Short summary
Understanding how air pollution varies across space and time is of key importance for the safeguarding of human health. This work arose in the context of the project EARLY-ADAPT, for which the Barcelona Supercomputing Center developed an air pollution database covering all of Europe. Through different statistical methods, we compared two global pollution models against measurements from ground stations and found significant discrepancies between the observed and the modeled surface pollution.
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