[A-AS11] Atmospheric Chemistry

[AAS11-P05] An attempt of NO_X and CO₂ emission evaluation over the Kanto region using WRF-Chem/VPRM model simulations with 1km resolution

*Masahiro Yamaguchi¹, Jagat Bisht¹, Masayuki Takigawa¹, Prabir Patra¹, Yugo Kanaya¹ (1.Japan Agency for Marine-Earth Science and Technology)

Keywords:Emission estimation, Nitrogen oxides (NOx), Carbon dioxide (CO2), Chemical Transport Model, Model simulation

Nitrogen oxides (NO_X) are important air pollutants that lead to acid rain and ozone formation, and thus adverse impacts on human health. Carbon dioxide (CO₂) is a major greenhouse gas (GHG) produced by human activities. Activities involving the fossil fuel combustion such as vehicle engines and power plants are important sources of both atmospheric NO_X and CO₂. Despite their importance, it is not easy to create high-resolution emission maps with top-down estimation by direct measurement. We showed in JpGU2021, the wide and detailed NO₂ emission map over Japan, based on the divergence of the NO₂ horizontal fluxes calculated from the datasets of satellite observation and meteorological model. The limitations and the potential of the scheme were discussed.
This study shows a NO_X and CO₂ emission evaluation trial over Kanto region using the divergence method with spatial pattern of concentrations reproduced by high-resolution Weather Research and Forecasting model, (1) coupled with Chemistry (WRF-Chem) for simulation of NO_X and (2) coupled with Vegetation, Photosynthesis, and Respiration (WRF-VPRM) for simulation of CO₂. These model simulations are conducted for May 2018 with 1km spatial resolution for the similar 4th domain using two-way nested setting. Covariation analysis of NO_X and CO₂ is expected to improve emission estimation of both the species. This attempt is aimed at applications of observation datasets from future satellites, such as GOSAT-GW, for simultaneous measurements of NO₂ and CO₂.