Abstract
Satellite sensors are powerful tools to monitor the spatiotemporal variations of air pollutants in large scales, but it has been challenging to detect surface O3 due to the presence of abundant stratospheric and upper tropospheric O3. East Asia is one of the most polluted regions in the world, but anthropogenic emissions such as NOx and SO2 began to decrease in 2010s. This trend was well observed by satellites, but the spatiotemporal impacts of these emission trends on O3 have not been well understood. Recent advancement in a retrieval method for the Ozone Monitoring Instrument (OMI) sensor enabled detection of lower tropospheric O3 and its legitimacy has been validated. In this study, we investigated the statistical significance for the OMI sensor to detect the lower tropospheric O3 responses to the future emission reduction of the O3 precursor gases over East Asia in summer, by utilizing a regional chemistry model. The emission reduction of 10, 25, 50, and 90% resulted in 4.4, 11, 23, and 53% decrease of the areal and monthly mean daytime simulated satellite-detectable O3 (ΔO3), respectively. The fractions of significant areas are 55, 84, 93, and 96% at a one-sided 95% confidence interval. Because of the recent advancement of satellite sensor technologies (e.g., TROPOMI), study on tropospheric photochemistry will be rapidly advanced in the near future. The current study proved the usefulness of such satellite analyses on the lower tropospheric O3 and its perturbations due to the precursor gas emission controls.
Highlights
In order to monitor the spatiotemporal variations of air pollutants in large scales and to detect their long-term trends, satellite sensors are powerful tools
We investigated the statistical significance for the Ozone Monitoring Instrument (OMI) sensor to detect the tropospheric O3 responses to the current/future emission reductions of the O3 precursor gases (NOx and non-methane volatile organic compounds (NMVOCs)) over East Asia by using the retrieval algorithm and numerical simulations
The panels are to show how the simulation results were compared with the retrieved OMI O312,19–21 and how the horizontal distributions were changed by the averaging procedures
Summary
In order to monitor the spatiotemporal variations of air pollutants in large scales and to detect their long-term trends, satellite sensors are powerful tools. We investigated the statistical significance for the OMI sensor to detect the tropospheric O3 responses to the current/future emission reductions of the O3 precursor gases (NOx and NMVOCs) over East Asia by using the retrieval algorithm and numerical simulations.
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