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Global high-resolution simulations of tropospheric nitrogen dioxide using CHASER V4.0
Ist Teil von
Geoscientific Model Development, 2018-03, Vol.11 (3), p.959-988
Ort / Verlag
Katlenburg-Lindau: Copernicus GmbH
Erscheinungsjahr
2018
Link zum Volltext
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
We evaluate global tropospheric nitrogen dioxide (NO2) simulations
using the CHASER V4.0 global chemical transport model (CTM) at horizontal
resolutions of 0.56, 1.1, and 2.8∘. Model evaluation was conducted
using satellite tropospheric NO2 retrievals from the Ozone Monitoring
Instrument (OMI) and the Global Ozone Monitoring Experiment-2 (GOME-2) and
aircraft observations from the 2014 Front Range Air Pollution and
Photochemistry Experiment (FRAPPÉ). Agreement against satellite retrievals
improved greatly at 1.1 and 0.56∘ resolutions (compared to
2.8∘ resolution) over polluted and biomass burning regions. The
1.1∘ simulation generally captured the regional distribution of the
tropospheric NO2 column well, whereas 0.56∘ resolution was
necessary to improve the model performance over areas with strong local
sources, with mean bias reductions of 67 % over Beijing and 73 % over
San Francisco in summer. Validation using aircraft observations indicated
that high-resolution simulations reduced negative NO2 biases below
700 hPa over the Denver metropolitan area. These improvements in
high-resolution simulations were attributable to (1) closer spatial
representativeness between simulations and observations and (2) better
representation of large-scale concentration fields (i.e., at 2.8∘)
through the consideration of small-scale processes. Model evaluations
conducted at 0.5 and 2.8∘ bin grids indicated that the contributions
of both these processes were comparable over most polluted regions, whereas
the latter effect (2) made a larger contribution over eastern China and
biomass burning areas. The evaluations presented in this paper demonstrate
the potential of using a high-resolution global CTM for studying
megacity-scale air pollutants across the entire globe, potentially also
contributing to global satellite retrievals and chemical data assimilation.