2023
DOI: 10.3390/atmos14091458
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Reliability Analysis Based on Air Quality Characteristics in East Asia Using Primary Data from the Test Operation of Geostationary Environment Monitoring Spectrometer (GEMS)

Won Jun Choi,
Kyung-Jung Moon,
Goo Kim
et al.

Abstract: Air pollutants adversely affect human health, and thus a global improvement in air quality is urgent. A Geostationary Environment Monitoring Spectrometer (GEMS) was mounted on the geostationary Chollian 2B satellite in 2020 to observe the spatial distribution of air pollution, and sequential observations have been released since July 2022. The reliability of GEMS must be analyzed because it is the first payload on the geostationary Earth orbit satellite to observe trace gases. This study analyzed the initial r… Show more

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Cited by 2 publications
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“…Second, given that anthropogenic or natural emissions are characterized by significant diurnal variations, the use of only monthly emission inventories in the RT-SOR model is not sufficient to characterize the hourly emissions background, which is partly responsible for the bias of the model in different hours. In the future, the introduction of more reliable observations of hourly O 3 precursor emissions, such as those of nitrogen dioxide and formaldehyde, from Geostationary Environmental Monitoring Spectrometer, , may be able to address this problem.…”
Section: Limitations and Implicationsmentioning
confidence: 99%
“…Second, given that anthropogenic or natural emissions are characterized by significant diurnal variations, the use of only monthly emission inventories in the RT-SOR model is not sufficient to characterize the hourly emissions background, which is partly responsible for the bias of the model in different hours. In the future, the introduction of more reliable observations of hourly O 3 precursor emissions, such as those of nitrogen dioxide and formaldehyde, from Geostationary Environmental Monitoring Spectrometer, , may be able to address this problem.…”
Section: Limitations and Implicationsmentioning
confidence: 99%