Estimation of sea surface salinity in the East China Sea using GOCI-II
DC Field | Value | Language |
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dc.contributor.author | Jang, Eunna | - |
dc.contributor.author | Choi, Jong Kuk | - |
dc.contributor.author | Ahn, Jae Hyun | - |
dc.date.accessioned | 2022-12-19T23:50:04Z | - |
dc.date.available | 2022-12-19T23:50:04Z | - |
dc.date.created | 2022-12-19 | - |
dc.date.issued | 2022-12-15 | - |
dc.identifier.uri | https://sciwatch.kiost.ac.kr/handle/2020.kiost/43574 | - |
dc.description.abstract | Sea surface salinity (SSS) is one of the important variables to monitor ocean environment and is intimately related to climate change. In particular, low salinity water causes a lot of damage as it travels along the ocean current without mixing with other seawater because of different density. Low salinity water in the East China Sea is caused by a significant volume of fresh water from the Yangtze River. This flows into Jeju Island and the South Sea of the Korean Peninsula, causing significant harm to the fish farms. L-band microwave sensors, Soil Moisture Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP), observe the worldwide SSS, but daily monitoring is not practicable due to long revisit time (3-8 days) and detailed distribution analysis is difficult due to low spatial resolution (25-100 km). Choi et al. (2021) complemented these issuses and estimated the low salinity water of East China Sea using Geostationary Ocean Color Imager (GOCI). GOCI collects 8 images per day, every hour at a resolution of 500 m, and hourly and daily monitoring is conceivable with this high spatio-temporal resolution. Choi et al. (2021) developed empirical equation between remote sensing reflectance (Rrs) of four bands (490, 555, 660, 680 nm) of GOCI and in-situ data. However, as GOCI’s mission was ended in March 2021, low salinity water monitoring with the new GOCI-Ⅱ has become necessary. The purpose of this study is to estimate SSS in the East China Sea using GOCI-Ⅱ with higher resolution than GOCI. The GOCI-Ⅱ, which was launched in February 2020, observed twice per day more than the GOCI and improved spatial resolution from 500 m to 250 m. After establishing the empirical correlations between GOCI Rrs and GOCI-Ⅱ Rrs, the emprical equation of Choi et al. (2021) was applied to GOCI-Ⅱ Rrs. There was a high correlation between GOCI-derived SSS and the GOCI-Ⅱ- derived SSS (R2 was 0.94 and RMSE was 0.87 psu). This demonstrated that GOCI-Ⅱ may use the same empirical equation as GOCI to continually monitor low salinity water in the East China Sea. | - |
dc.description.uri | 1 | - |
dc.publisher | IPB UNIVERSITY | - |
dc.title | Estimation of sea surface salinity in the East China Sea using GOCI-II | - |
dc.type | Conference | - |
dc.citation.conferenceDate | 2022-12-13 | - |
dc.citation.conferencePlace | IO | - |
dc.citation.endPage | 29 | - |
dc.citation.startPage | 29 | - |
dc.citation.title | 10th Asian - 19th Japan/Korean Workshop on Ocean Color (AWOC/JKWOC) | - |
dc.contributor.alternativeName | 장은나 | - |
dc.contributor.alternativeName | 최종국 | - |
dc.contributor.alternativeName | 안재현 | - |
dc.identifier.bibliographicCitation | 10th Asian - 19th Japan/Korean Workshop on Ocean Color (AWOC/JKWOC), pp.29 | - |
dc.description.journalClass | 1 | - |