Improvement of GOCI-II Water Vapor Absorption Correction through Fusion with GK-2A/AMI Data
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Title
- Improvement of GOCI-II Water Vapor Absorption Correction through Fusion with GK-2A/AMI Data
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Author(s)
- Lee, Kyeong-Sang; Park, Myung Sook; Choi, Jong Kuk; Ahn, Jae Hyun
- KIOST Author(s)
- Lee, Kyeong-Sang(이경상); Park, Myung Sook(박명숙); Choi, Jong Kuk(최종국); Ahn, Jae Hyun(안재현)
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Alternative Author(s)
- 이경상; 박명숙; 최종국; 안재현
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Publication Year
- 2023-04
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Abstract
- In remote sensing of the ocean color, in particular, in coarse-resolution global model simulations, atmospheric trace gases including water vapor are generally treated as auxiliary data, which create uncertainties in atmospheric correction. The second Korean geostationary satellite mission, Geo-Kompsat 2 (GK-2), is unique in combining visible and infrared observations from the second geostationary ocean color imager (GOCI-II) and the advanced meteorological imager (AMI) over Asia and the Pacific Ocean. In this study, we demonstrate that AMI total precipitable water (TPW) data to allow realistic water vapor absorption correction of GOCI-II color retrievals for the ocean. We assessed the uncertainties of two candidate TPW products for GOCI-II atmospheric correction using atmospheric sounding data, and then analyzed the sensitivity of four ocean-color products (remote sensing reflectance [Rrs], chlorophyll-a concentration [CHL], colored dissolved organic matter [CDOM], and total suspended sediment [TSS]) for GOCI-II water vapor transmittance correction using AMI and global model data. Differences between the TPW sources increased the mean absolute percentage error (MAPE) of Rrs from 2.97% to 6.43% in the blue to green bands, higher than the global climate observing system requirements (<5%) at 412 nm. By contrast, MAPE values of 3.53%, 6.18%, and 7.71% were increased to 6.63%, 13.53%, and 16.14% at high sun and sensor zenith angles for CHL, CDOM, and TSS, respectively. Uncertainty analysis provided similar results, indicating that AMI TPW produced approximately 3-fold lower error rates in ocean-color products than obtained using TPW values from the National Centers for Environmental Prediction. These results imply that AMI TPW can improve the accuracy and ability of GOCI-II ocean-color products to capture diurnal variability.
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ISSN
- 2072-4292
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URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/44239
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DOI
- 10.3390/rs15082124
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Bibliographic Citation
- Remote Sensing, v.15, no.8, 2023
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Publisher
- Multidisciplinary Digital Publishing Institute (MDPI)
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Keywords
- second geostationary ocean color imager; advanced meteorological imager; total precipitable water; gaseous absorption correction; uncertainty analysis
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Type
- Article
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Language
- English
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Document Type
- Article
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