Korean J. Remote Sens. 2024; 40(1): 1-8
Published online: February 28, 2024
https://doi.org/10.7780/kjrs.2024.40.1.1
© Korean Society of Remote Sensing
Busan is the 6th largest port city in the world, where nitrogen dioxide (NO2) emissions from transportation and port industries are significant. This study aims to assess the NO2 products of the Geostationary Environment Monitoring Spectrometer (GEMS) over Busan using ground-based instruments (i.e., surface in-situ network and Pandora). The GEMS vertical column densities of NO2 showed reasonable consistency in the spatiotemporal variations, comparable to the previous studies. The GEMS data showed a consistent seasonal trend of NO2 with the Korea Ministry of Environment network and Pandora in 2022, which is higher in winter and lower in summer. These agreements prove the capability of the GEMS data to monitor the air quality in Busan. The correlation coefficient and the mean bias error between the GEMS and Pandora NO2 over Busan in 2022 were 0.53 and 0.023 DU, respectively. The GEMS NO2 data were also positively correlated with the ground-based in-situ network with a correlation coefficient of 0.42. However, due to the significant spatiotemporal variabilities of the NO2, the GEMS footprint size can hardly resolve small-scale variabilities such as the emissions from the road and point sources. In addition, relative biases of the GEMS NO2 retrievals to the Pandora data showed seasonal variabilities, which is attributable to the air mass factor estimation of the GEMS. Further studies with more measurement locations for longer periods of data can better contribute to assessing the GEMS NO2 data. Reliable GEMS data can further help us understand the Asian air quality with the diurnal variabilities.
Keywords GEMS, Nitrogen dioxide, Validation, Air quality, Busan, Pandora
Korean J. Remote Sens. 2024; 40(1): 1-8
Published online February 28, 2024 https://doi.org/10.7780/kjrs.2024.40.1.1
Copyright © Korean Society of Remote Sensing.
Serin Kim1, Ukkyo Jeong2*, Hanlim Lee3, Yeonjin Jung4, Jae Hwan Kim5
1 PhD Student, Major of Spatial Information Engineering, Division of Earth and Environmental System Sciences, Pukyong National University, Busan, Republic of Korea 2 Assistant Professor, Major of Spatial Information Engineering, Division of Earth and Environmental System Sciences, Pukyong National University, Busan, Republic of Korea 3 Professor, Major of Spatial Information Engineering, Division of Earth and Environmental System Sciences, Pukyong National University, Busan, Republic of Korea 4 Postdoctoral Researcher, Major of Spatial Information Engineering, Division of Earth and Environmental System Sciences, Pukyong National University, Busan, Republic of Korea 5 Professor, Department of Atmospheric Science, Pusan National University, Busan, Republic of Korea
Busan is the 6th largest port city in the world, where nitrogen dioxide (NO2) emissions from transportation and port industries are significant. This study aims to assess the NO2 products of the Geostationary Environment Monitoring Spectrometer (GEMS) over Busan using ground-based instruments (i.e., surface in-situ network and Pandora). The GEMS vertical column densities of NO2 showed reasonable consistency in the spatiotemporal variations, comparable to the previous studies. The GEMS data showed a consistent seasonal trend of NO2 with the Korea Ministry of Environment network and Pandora in 2022, which is higher in winter and lower in summer. These agreements prove the capability of the GEMS data to monitor the air quality in Busan. The correlation coefficient and the mean bias error between the GEMS and Pandora NO2 over Busan in 2022 were 0.53 and 0.023 DU, respectively. The GEMS NO2 data were also positively correlated with the ground-based in-situ network with a correlation coefficient of 0.42. However, due to the significant spatiotemporal variabilities of the NO2, the GEMS footprint size can hardly resolve small-scale variabilities such as the emissions from the road and point sources. In addition, relative biases of the GEMS NO2 retrievals to the Pandora data showed seasonal variabilities, which is attributable to the air mass factor estimation of the GEMS. Further studies with more measurement locations for longer periods of data can better contribute to assessing the GEMS NO2 data. Reliable GEMS data can further help us understand the Asian air quality with the diurnal variabilities.
Keywords: GEMS, Nitrogen dioxide, Validation, Air quality, Busan, Pandora
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