POSTER Session 4

IMPROVEMENTS OF NO2 ABSORPTION CORRECTION MODEL FOR GOCI-II BASED ON RADIATIVE TRANSFER MODEL

Nitrogen dioxide(NO2) in the atmosphere leads to the absorption of solar radiation, particularly within the blue and green wavelengths crucial for ocean color algorithms. Consequently, there’s a pressing need for an accurate NO2 absorption correction model to enhance the precision of satellite-based ocean color products, including chlorophyll-a concentration, total suspended material, and remote sensing reflectance. The NO2 absorption varies depending on various observation conditions, such as the angles between the sun, Earth’s surface, and the satellite, the NO2 concentration, and the NO2 profile shape. While a previous study proposed a NO2 absorption correction model for GOCI-II, it relied on a single fixed profile (clear condition), neglecting the influence of NO2 profile shape. Therefore, in this study, we aim to analyze the variations in absorption based on the shape of the NO2 profile and enhance the NO2 absorption correction model to account for this variability. We gathered simulated vertical distributions of NO2 from the GEOS-Chem model for the GOCI-II local area. We categorized them into three groups using the K-means algorithm based on NO2 absorption. These categorized vertical profiles effectively depict the typical shapes under clean and polluted conditions. Additionally, although the vertical distribution of NO2 in the stratosphere shows no significant differences among the three categories, considerable variations were observed in the troposphere, particularly near the surface. Consequently, discernible differences in NO2 absorption due to the profile shape emerged, which also seemed to impact the ocean color products.

Kyeong-Sang Lee, Korea Institute of Ocean Science and Technology, Republic of Korea, [email protected], https://orcid.org/0000-0002-7639-5729

Jae-Hyun Ahn, Korea Institute of Ocean Science and Technology, Republic of Korea, [email protected]

Myung-Sook Park, Korea Institute of Ocean Science and Technology, Republic of Korea, [email protected]

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