wrf-chem simulated surface ozone over south asia during the pre-monsoon: effects of emission inventories and chemical mechanisms
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ID: 235588
2017
We evaluate numerical simulations of surface ozone mixing ratios over the
south Asian region during the pre-monsoon season, employing three different
emission inventories in the Weather Research and Forecasting model with
Chemistry (WRF-Chem) with the second-generation Regional Acid Deposition
Model (RADM2) chemical mechanism: the Emissions Database for Global
Atmospheric Research – Hemispheric Transport of Air Pollution (EDGAR-HTAP),
the Intercontinental Chemical Transport Experiment phase B (INTEX-B) and the
Southeast Asia Composition, Cloud, Climate Coupling Regional Study (SEAC4RS).
Evaluation of diurnal variability in modelled ozone compared to observational
data from 15 monitoring stations across south Asia shows the model ability to
reproduce the clean, rural and polluted urban conditions over this region. In
contrast to the diurnal average, the modelled ozone mixing ratios during
noontime, i.e. hours of intense photochemistry (11:30–16:30 IST –
Indian Standard Time – UTC +5:30), are found to differ among the three inventories. This suggests that
evaluations of the modelled ozone limited to 24 h average are insufficient
to assess uncertainties associated with ozone buildup. HTAP generally shows
10–30 ppbv higher noontime ozone mixing ratios than SEAC4RS and
INTEX-B, especially over the north-west Indo-Gangetic Plain (IGP), central
India and southern India. The HTAP simulation repeated with the alternative
Model for Ozone and Related Chemical Tracers (MOZART) chemical mechanism
showed even more strongly enhanced surface ozone mixing ratios due to
vertical mixing of enhanced ozone that has been produced aloft. Our study
indicates the need to also evaluate the O3 precursors across
a network of stations and the development of high-resolution regional
inventories for the anthropogenic emissions over south Asia accounting for
year-to-year changes to further reduce uncertainties in modelled ozone over
this region.
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sharma2017atmosphericwrf-chem
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Authors | ;A. Sharma;A. Sharma;N. Ojha;A. Pozzer;K. A. Mar;G. Beig;J. Lelieveld;J. Lelieveld;S. S. Gunthe |
Journal | Journal of agricultural and food chemistry |
Year | 2017 |
DOI | 10.5194/acp-17-14393-2017 |
URL | |
Keywords |
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