Development of Daily PAR from GOCI and Comparison with PARs from Other Satellite Sensors

DC Field Value Language
dc.contributor.author 최종국 -
dc.contributor.author 황득재 -
dc.contributor.author Robert Frouin -
dc.contributor.author 유주형 -
dc.date.accessioned 2020-07-15T09:33:28Z -
dc.date.available 2020-07-15T09:33:28Z -
dc.date.created 2020-02-11 -
dc.date.issued 2019-04-11 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/22785 -
dc.description.abstract Phytoplankton carbon in marine environment is one of the important factors for ecosystem and climate change. Using satellite-based primary production, which is mainly influenced by the sun light energy, especially photosynthetically available radiation (PAR), phytoplankton carbon at the ocean surface can be estimated. Thus estimating PAR at the ocean surface accurately is important to understand the marine ecological environment. Here, daily PAR from Geostationary Ocean Colour Imager (GOCI) was estimated and validated in terms of a comparison with in-situ measurements from ocean research station, Socheong-cho station located in turbid water condition and Ieodo station in clear water condition. GOCI daily PAR had shown a constant value of difference with the in-situ measurements, which was corrected using the in-situ measurements obtained on the days of clear-sky conditions. After the corrections, GOCI daily PAR showed overall good agreements with in-situ measurements. Validations were made with sufficient in-situ data, although they were from only two locations, which indicating a relatively high level of reliabilities. GOCI-derived daily PAR was also compared with the ones from MODIS and Himawari, the Japanese weather satellite system. It seems that around the Korean peninsula GOCI showed good agreements with MODIS or Himawari, but near the edges of the GOCI boundaries there were some disagreements and relatively big differences at some spots. Thus, more in-situ data collected at various locations within GOCI coverage are needed to improve the accuracies and reliabilities of GOCI-derived daily PAR. -
dc.description.uri 1 -
dc.language English -
dc.publisher IOCCG -
dc.relation.isPartOf International Ocean Colour Science meeting 2019 -
dc.title Development of Daily PAR from GOCI and Comparison with PARs from Other Satellite Sensors -
dc.type Conference -
dc.citation.conferencePlace KO -
dc.citation.endPage 15 -
dc.citation.startPage 15 -
dc.citation.title International Ocean Colour Science meeting 2019 -
dc.contributor.alternativeName 최종국 -
dc.contributor.alternativeName 황득재 -
dc.contributor.alternativeName 유주형 -
dc.identifier.bibliographicCitation International Ocean Colour Science meeting 2019, pp.15 -
dc.description.journalClass 1 -
Appears in Collections:
Marine Digital Resources Department > Korea Ocean Satellite Center > 2. Conference Papers
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