Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 14, issue 7
Articles | Volume 14, issue 7
https://doi.org/10.5194/amt-14-5241-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-5241-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 7
Research article
 | 
30 Jul 2021
Research article |  | 30 Jul 2021

Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO2 measurements

Vinod Kumar, Julia Remmers, Steffen Beirle, Joachim Fallmann, Astrid Kerkweg, Jos Lelieveld, Mariano Mertens, Andrea Pozzer, Benedikt Steil, Marc Barra, Holger Tost, and Thomas Wagner

Data sets

TNO-MACC_II emission inventory; a multi-year (2003–2009) consistent high-resolution European emission inventory for air quality modelling J. J. P. Kuenen, A. J. H. Visschedijk, M. Jozwicka, and H. A. C. Denier van der Gon https://doi.org/10.5194/acp-14-10963-2014

Current air data UBA (Umweltbundesamt – German Environment Agency) https://www.umweltbundesamt.de/en/data/air/air-data/stations

Deutschland-Karten zu Luftschadstoff-Daten UBA (Umweltbundesamt – German Environment Agency) https://www.umweltbundesamt.de/deutschland-karten-zu-luftschadstoff-daten

Model code and software

Development cycle 2 of the Modular Earth Submodel System (MESSy2) (https://www.messy-interface.org/) P. Jöckel, A. Kerkweg, A. Pozzer, R. Sander, H. Tost, H. Riede, A. Baumgaertner, S. Gromov, and B. Kern https://doi.org/10.5194/gmd-3-717-2010

The Regional Climate Model COSMO-CLM (CCLM) (https://wiki.coast.hzg.de/clmcom) B. Rockel, A. Will, and A. Hense https://doi.org/10.1127/0941-2948/2008/0309

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Short summary
We present high-resolution regional atmospheric chemistry model simulations focused around Germany. We highlight the importance of spatial resolution of the model itself as well as the input emissions inventory and short-scale temporal variability of emissions for simulations. We propose a consistent approach for evaluating the simulated vertical distribution of NO2 using MAX-DOAS measurements while also considering its spatial sensitivity volume and change in sensitivity within this volume.
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