Validation of GEMS operational v2.0 total column NO2 and HCHO during the GMAP/SIJAQ campaign
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Authors
Bae, K.
Song, C.K.
Van Roozendael, M.
Richter, A.
Wagner, T.
Merlaud, A.
Pinardi, G.
Friedrich, M.M.
Fayt, C.
Dimitropoulou, E.
Lange, K.
and Bösch, T.
Zilker, B.
Latsch, M.
Behrens, L.K.
Ziegler, S.
Ripperger-Lukosiunaite, S.
Kuhn, L.
Lauster, B.
Reischmann, L.
Uhlmannsiek, K.
Cede, A.
Tiefengraber, M.
Gebetsberger, M.
Park, R.J.
Lee, H.
Hong, H.
Chang, L.S.
Jeon, K.
Discipline
Earth and related Environmental sciences
Subject
China
Seoul [South Korea]
South Korea
Acid rain
Damage detection
Emission control
Fiber optic sensors
Fog
High speed cameras
Image resolution
Ionosphere
Liquid level indicators
Motion picture cameras
Network performance
Outages
Ozone layer
Spectrometers
Statistical process control
Temperature indicating cameras
Tropics
Troposphere
formaldehyde
nitrogen dioxide
Differential optical absorption spectroscopy
Diurnal variation
Environmental Monitoring
Geostationary environmental monitoring spectrometer
GMAP/SIJAQ
Multi-Axis
Multi-axis differential optical absorption spectroscopy
Multi-Axis-
Pandora
Validation
air quality
atmospheric pollution
atomic absorption spectroscopy
correlation
diurnal variation
geostationary satellite
nitrogen dioxide
seasonal variation
slope
spatial resolution
troposphere
absorption spectroscopy
air monitoring
algorithm
Article
circadian rhythm
climate change
comparative study
conceptual framework
correlation coefficient
multi axis differential optical absorption spectroscopy
pollution
radiation
satellite integrated joint monitoring of air quality
seasonal variation
validation process
Air quality
Audience
Scientific
Date
2025Metadata
Show full item recordDescription
The Geostationary Environmental Monitoring Spectrometer (GEMS), the first geostationary air quality instrument, onboard the GEO-KOMPSAT-2B (GK2B) satellite, produces hourly observations over Asia with 3.5 km × 8 km spatial resolution. To evaluate the GEMS L2 products, the National Institute of Environmental Research (NIER) organized the GEMS Map of Air Pollutants 2021 (GMAP2021) and the Satellite Integrated Joint monitoring of Air Quality 2022 (SIJAQ2022) campaigns during October 2021 to November 2021 and from June 2022 to July 2022, respectively. While GMAP2021 mainly targeted the SMA (Seoul Metropolitan Area), the SIJAQ2022 campaign extended to the southeastern area of South Korea. In this study, a comparison between Pandora and Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) products and an evaluation of the GEMS operational v2.0 total column NO2 and HCHO products are conducted. A comparative analysis between the Pandora (P189) and the IUP Bremen MAX-DOAS instrument at the Incheon NIER-ESC site was performed to analyze discrepancies between the retrieval processors (Pandora: PGN official processor, MAX-DOAS: MMF in FRM4DOAS framework). Aligning the viewing directions of both Pandora and MAX-DOAS leads to a significant increase in the slope and correlation coefficient from 0.87 to 0.96 and from 0.86 to 0.96, respectively, in the case of NO2 tropospheric columns. Similarly, for HCHO tropospheric columns, slope and correlation coefficient change from 0.94 to 1.09 and from 0.81 to 0.90 when matching the viewing geometries of both instruments. In contrast to tropospheric columns, total HCHO columns derived from Pandora (P189) direct-sun measurements show significantly larger values than the MAX-DOAS ones, with a mean relative difference (MRD) of 126 %. This bias can however be reduced to 33 % after suitable adjustment of the direct-sun retrieval settings. The GEMS v2.0 NO2 total column product, evaluated over 6 official PGN sites in South Korea, shows good agreement with a correlation coefficient of 0.87 and similar seasonal and diurnal NO2 variation. However, GEMS tends to report higher values than Pandora with a mean relative difference of +41 %. The magnitude of the GEMS overestimation is amplified in highly polluted conditions (i.e. during winter and at noontime). Compared to 6 MAX-DOAS stations and 6 Pandora stations, the GEMS HCHO product captures well the seasonal and diurnal variation of HCHO and shows good agreement both with MAX-DOAS and Pandora with slopes of 0.84 and 0.79, respectively, and correlation coefficients of 0.86 for both. Large columns, however, tend to be systematically underestimated.
Citation
Bae, K.; Song, C.K.; Van Roozendael, M.; Richter, A.; Wagner, T.; Merlaud, A.; Pinardi, G.; Friedrich, M.M.; Fayt, C.; Dimitropoulou, E.; Lange, K.; and Bösch, T.; Zilker, B.; Latsch, M.; Behrens, L.K.; Ziegler, S.; Ripperger-Lukosiunaite, S.; Kuhn, L.; Lauster, B.; Reischmann, L.; Uhlmannsiek, K.; Cede, A.; Tiefengraber, M.; Gebetsberger, M.; Park, R.J.; Lee, H.; Hong, H.; Chang, L.S.; Jeon, K. (2025). Validation of GEMS operational v2.0 total column NO2 and HCHO during the GMAP/SIJAQ campaign. , Science of the Total Environment, Vol. 974, A179190, DOI: 10.1016/j.scitotenv.2025.179190.Identifiers
url:
Type
Article
Peer-Review
Yes
Language
eng