A Detection method for thermocline formation in the southern sea of Korea

DC Field Value Language
dc.contributor.author 최현우 -
dc.contributor.author 윤동영 -
dc.date.accessioned 2020-07-16T09:51:17Z -
dc.date.available 2020-07-16T09:51:17Z -
dc.date.created 2020-02-11 -
dc.date.issued 2013-04-08 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/27160 -
dc.description.abstract In order to study variability of seasonal thermocline in the sea at the middle latitude, it should be followed the detection of thermocline presence depending on the region and time. For that purpose, in fact, visual inspection is the most appropriate method that researcher identifies the vertical seawater temperature profile from the observation data, however, it has a disadvantage that not only much effort of experts is needed for processing a large amount of data but also difficult to maintain its objectivity and consistency. Therefore, this study aims to develop a method for detecting thermocline formation using the critical condition for the vertical temperature gradient of seawater (ΔT(℃/m)).ost appropriate method that researcher identifies the vertical seawater temperature profile from the observation data, however, it has a disadvantage that not only much effort of experts is needed for processing a large amount of data but also difficult to maintain its objectivity and consistency. Therefore, this study aims to develop a method for detecting thermocline formation using the critical condition for the vertical temperature gradient of seawater (ΔT(℃/m)). -
dc.description.uri 1 -
dc.language English -
dc.publisher EGU -
dc.relation.isPartOf EGU General Assembly 2013 -
dc.title A Detection method for thermocline formation in the southern sea of Korea -
dc.type Conference -
dc.citation.endPage 5304 -
dc.citation.startPage 5304 -
dc.citation.title EGU General Assembly 2013 -
dc.contributor.alternativeName 최현우 -
dc.contributor.alternativeName 윤동영 -
dc.identifier.bibliographicCitation EGU General Assembly 2013, pp.5304 -
dc.description.journalClass 1 -
Appears in Collections:
Marine Digital Resources Department > Marine Bigdata & A.I. Center > 2. Conference Papers
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