Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO 2 measurements over Antwerp, Belgium

The Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) is employed as an intercomparison tool for validating TROPOspheric Monitoring Instrument (TROPOMI) satellite NO 2 retrievals against high-resolution Airborne Prism EXperiment (APEX) remote sensing observations performed in June 2019 in the region of Antwerp, a major hotspot of NO 2 pollution in Europe. The model is first evaluated using meteorological and chemical observations in this area. Sensitivity simulations varying the model planetary layer boundary (PBL) parameterization were conducted for a 3 d period in June... Mehr ...

Verfasser: C. Poraicu
J.-F. Müller
T. Stavrakou
D. Fonteyn
F. Tack
F. Deutsch
Q. Laffineur
R. Van Malderen
N. Veldeman
Dokumenttyp: Artikel
Erscheinungsdatum: 2023
Reihe/Periodikum: Geoscientific Model Development, Vol 16, Pp 479-508 (2023)
Verlag/Hrsg.: Copernicus Publications
Schlagwörter: Geology / QE1-996.5
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-28972461
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.5194/gmd-16-479-2023

The Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) is employed as an intercomparison tool for validating TROPOspheric Monitoring Instrument (TROPOMI) satellite NO 2 retrievals against high-resolution Airborne Prism EXperiment (APEX) remote sensing observations performed in June 2019 in the region of Antwerp, a major hotspot of NO 2 pollution in Europe. The model is first evaluated using meteorological and chemical observations in this area. Sensitivity simulations varying the model planetary layer boundary (PBL) parameterization were conducted for a 3 d period in June 2019, indicating a generally good performance of most parameterizations against meteorological data (namely ceilometer, surface meteorology, and balloon measurements), except for a moderate overestimation ( ∼ 1 m s −1 ) of near-surface wind speed. On average, all but one of the PBL schemes reproduce the surface NO 2 measurements at stations of the Belgian Interregional Environmental Agency fairly well, although surface NO 2 is generally underestimated during the day (between −4.3 % and −25.1 % on average) and overestimated at night (8.2 %–77.3 %). This discrepancy in the diurnal evolution arises despite (1) implementing a detailed representation of the diurnal cycle of emissions (Crippa et al., 2020) and (2) correcting the modeled concentrations to account for measurement interferences due to NO y reservoir species, which increases NO 2 concentrations by about 20 % during the day. The model is further evaluated by comparing a 15 d simulation with surface NO 2 , NO, CO, and O 3 data in the Antwerp region. The modeled daytime NO 2 concentrations are more negatively biased during weekdays than during weekends, indicating a misrepresentation of the weekly temporal profile applied to the emissions obtained from Crippa et al. (2020). Using a mass balance approach, we determined a new weekly profile of NO x emissions, leading to a homogenization of the relative bias among the different weekdays. The ratio of weekend to weekday ...