Articles | Volume 16, issue 2
Model evaluation paper
24 Jan 2023
Model evaluation paper |  | 24 Jan 2023

Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO2 measurements over Antwerp, Belgium

Catalina Poraicu, Jean-François Müller, Trissevgeni Stavrakou, Dominique Fonteyn, Frederik Tack, Felix Deutsch, Quentin Laffineur, Roeland Van Malderen, and Nele Veldeman

Data sets

High resolution temporal profiles in the Emissions Database for Global Atmospheric Research ( Monica Crippa, Efisio Solazzo, Ganlin Huang, Diego Guizzardi, Ernest Koffi, Marilena Muntean, Christian Schieberle, Rainer Friedrich, and Greet Janssens-Maenhout

Air Quality Measurements Belgian Interregional Environmental Agency (IRCEL-CELINE)

CESM2.1/CAM-chem Instantaneous Output for Boundary Conditions Buchholz, R. R., Emmons, L. K., Tilmes, S., & The CESM2 Development Team

CAMS global reanalysis (EAC4) monthly averaged fields A. Inness, M. Ades, A. Agustí-Panareda et al.!/dataset/cams-global-reanalysis-eac4-monthly?tab=overview

Grafieken en kaarten Rijksinstituut voor Volksgezondheid en Milieu (RIVM)

Global Air Pollutant Emissions Emissions EDGAR V5.0 European Comission

Grid emissions in 0.1˚x0.1˚ long-lat resolution European Monitoring and Evaluation Programme Centre on Emission Inventories and Projections

TROPOMI Level 2 Nitrogen Dioxide total column products Version 01 European Space Agency

S5P Nitrogen Dioxide v02.03.01 intermediate reprocessing on the S5P-PAL system H. Eskes, J. van Geffen, M. Sneep, P. Veefkind, S. Niemeijer, and C. Zehner

Model code and software

Weather Research and Forecasting Model Version 4.1.5 National Center for Atmospheric Research (NCAR)

WRF-Chem tools for the Community National Center for Atmospheric Research (NCAR)

Pyproj Jeffrey Whittaker

Short summary
High-resolution WRF-Chem simulations are conducted over Antwerp, Belgium, in June 2019 and evaluated using meteorological data and in situ, airborne, and spaceborne NO2 measurements. An intercomparison of model, aircraft, and TROPOMI NO2 columns is conducted to characterize biases in versions 1.3.1 and 2.3.1 of the satellite product. A mass balance method is implemented to provide improved emissions for simulating NO2 distribution over the study area.