the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
First-time comparison between NO2 vertical columns from GEMS and Pandora measurements
Serin Kim
Daewon Kim
Hyunkee Hong
Lim-Seok Chang
Hanlim Lee
Deok-Rae Kim
Donghee Kim
Jeong-Ah Yu
Dongwon Lee
Ukkyo Jeong
Chang-Kuen Song
Sang-Woo Kim
Sang Seo Park
Jhoon Kim
Thomas F. Hanisco
Junsung Park
Wonei Choi
Kwangyul Lee
Abstract. The Geostationary Environmental Monitoring Spectrometer (GEMS) is a UV–visible spectrometer onboard the GEO-KOMPSAT-2B satellite launched into geostationary orbit in February 2020. To evaluate GEMS NO2 column data, comparison was carried out using NO2 vertical column density (VCD) measured using direct-sunlight observations by the Pandora spectrometer system at four sites in Seosan, South Korea, during November 2020 to January 2021. Correlation coefficients between GEMS and Pandora NO2 data at four sites ranged from 0.35 to 0.48, with root mean square errors (RMSEs) from 4.7 × 1015 molec. cm-2 to 5.5 × 1015 molec. cm-2 for cloud fraction (CF) < 0.7. Higher correlation coefficients of 0.62–0.78 with lower RMSEs from 3.3 × 1015 molec. cm-2 to 4.3 × 1015 molec. cm-2 were found with CF < 0.3, indicating the higher sensitivity of GEMS to atmospheric NO2 in less-cloudy conditions. Overall, GEMS NO2 column data tend to be lower than those of Pandora due to differences in representative spatial coverage, with a large negative bias under high-CF conditions. With correction for horizontal representativeness in Pandora measurement coverage, the correlation coefficients range from 0.69 to 0.81 with RMSEs from 3.2 × 1015 molec. cm-2 to 4.9 × 1015 molec. cm-2 were achieved for CF < 0.3, showing the better correlation with the correction than that without the correction.
Serin Kim et al.
Status: open (until 12 Apr 2023)
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RC1: 'Comment on amt-2023-11', Anonymous Referee #1, 17 Mar 2023
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The comment was uploaded in the form of a supplement: https://amt.copernicus.org/preprints/amt-2023-11/amt-2023-11-RC1-supplement.pdf
Serin Kim et al.
Serin Kim et al.
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