ABSTRACT 1110 | POSTER 159
VALIDATION OF GOCI-II OCEAN COLOR PRODUCTS USING AN INTEGRATED BIO-OPTICAL PROTOCOL AND THEIR APPLICABILITY TO DIURNAL VARIABILITY: CASE STUDIES OF CHL IN THE EAST SEA AND TSM IN THE YELLOW SEA
Geostationary ocean-color observations offer unique potential to resolve sub-daily variability, but nominal hourly coverage does not necessarily yield scientifically usable information. We evaluated this issue using an integrated KIOST-KOSC bio-optical protocol and product-specific validation of GOCI-II remote-sensing reflectance (Rrs), chlorophyll-a (CHL), and total suspended matter (TSM), followed by two contrasting sub-daily case studies. Station-level median coefficients of variation were 3.43% for CHL and 3.86% for TSM, while band-specific median Rrs CVs ranged from 2.47% to 5.68% across 412-680 nm, indicating high operational repeatability. GOCI-II validation performance was strongly product- and wavelength-dependent: Rrs agreement peaked at 555 nm (R² = 0.872), whereas CHL and TSM showed weaker log-space agreement, with pronounced upper-range compression for TSM. In the East Sea, a 33.7% decrease in surface CHL coincided with upper-ocean salinity reorganization, pycnocline deepening, changes in Rrs spectral shape, and shoaling and intensification of the subsurface fluorescence maximum; however, the corresponding GOCI-II CHL observation failed product-specific QC, preventing satellite confirmation of the surface CHL decline. In the Yellow Sea, field TSM varied substantially, but only 5 of 10 corresponding GOCI-II observations were usable, and the satellite-retrieved amplitude was substantially compressed relative to the field time series. These results show that defensible sub-daily interpretation requires repeatable field references, product-specific satellite QC, and concurrent environmental observations sufficient to test process mechanisms.
Jeong-Eon Moon, Korea Institute of Ocean Science and Technology (KIOST), [email protected], https://orcid.org/0000-0003-0952-3310
Jong-Kuk Choi, KIOST, [email protected]
Jae-Hyun Ahn, KIOST, [email protected]
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