Probability Distribution of Turbulent Kinetic Energy Dissipation Rate in Ocean: Observations and Approximations SCIE SCOPUS

DC Field Value Language
dc.contributor.author Lozovatsky, I. -
dc.contributor.author Fernando, H. J. S. -
dc.contributor.author Planella-Morato, J. -
dc.contributor.author Liu, Zhiyu -
dc.contributor.author Lee, J. -H. -
dc.contributor.author Jinadasa, S. U. P. -
dc.date.accessioned 2020-04-16T09:55:18Z -
dc.date.available 2020-04-16T09:55:18Z -
dc.date.created 2020-01-28 -
dc.date.issued 2017-10 -
dc.identifier.issn 2169-9275 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/1147 -
dc.description.abstract The probability distribution of turbulent kinetic energy dissipation rate in stratified ocean usually deviates from the classic lognormal distribution that has been formulated for and often observed in unstratified homogeneous layers of atmospheric and oceanic turbulence. Our measurements of vertical profiles of micro- scale shear, collected in the East China Sea, northern Bay of Bengal, to the south and east of Sri Lanka, and in the Gulf Stream region, show that the probability distributions of the dissipation rate (epsilon) over barr in the pycnoclines ( r similar to 1.4 m is the averaging scale) can be successfully modeled by the Burr ( type XII) probability distribution. In weakly stratified boundary layers, lognormal distribution of (epsilon) over barr is preferable, although the Burr is an acceptable alternative. The skewness SkE and the kurtosis KE of the dissipation rate appear to be well correlated in a wide range of SkE and KE variability. Plain Language Summary The probability distribution of turbulent kinetic energy dissipation rate in stratified ocean usually deviates from the classic lognormal distribution that has been formulated for and often observed in homogeneous layers of atmospheric and oceanic turbulence. Our microstructure measurements, collected in the East China Sea, northern Bay of Bengal, to the south and east of Sri Lanka, and in the Gulf Stream region, show that the probability distributions of the dissipation rate in stably stratified layers can be successfully modeled by the Burr ( type XII) probability distribution. In weakly stratified boundary layers, lognormal distribution of the dissipation is preferable, although the Burr is an acceptable alternative. -
dc.description.uri 1 -
dc.language English -
dc.publisher AMER GEOPHYSICAL UNION -
dc.subject MICROSTRUCTURE MEASUREMENTS -
dc.subject VELOCITY DERIVATIVES -
dc.subject REYNOLDS-NUMBER -
dc.subject INTERNAL WAVES -
dc.subject BOUNDARY-LAYER -
dc.subject SURFACE-LAYER -
dc.subject SKEWNESS -
dc.subject INTERMITTENCY -
dc.subject WATERS -
dc.subject MOMENTS -
dc.title Probability Distribution of Turbulent Kinetic Energy Dissipation Rate in Ocean: Observations and Approximations -
dc.type Article -
dc.citation.endPage 8308 -
dc.citation.startPage 8293 -
dc.citation.title JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS -
dc.citation.volume 122 -
dc.citation.number 10 -
dc.contributor.alternativeName 이재학 -
dc.identifier.bibliographicCitation JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, v.122, no.10, pp.8293 - 8308 -
dc.identifier.doi 10.1002/2017JC013076 -
dc.identifier.scopusid 2-s2.0-85034739863 -
dc.identifier.wosid 000415893300029 -
dc.type.docType Article -
dc.description.journalClass 1 -
dc.subject.keywordPlus MICROSTRUCTURE MEASUREMENTS -
dc.subject.keywordPlus VELOCITY DERIVATIVES -
dc.subject.keywordPlus REYNOLDS-NUMBER -
dc.subject.keywordPlus INTERNAL WAVES -
dc.subject.keywordPlus BOUNDARY-LAYER -
dc.subject.keywordPlus SURFACE-LAYER -
dc.subject.keywordPlus SKEWNESS -
dc.subject.keywordPlus INTERMITTENCY -
dc.subject.keywordPlus WATERS -
dc.subject.keywordPlus MOMENTS -
dc.subject.keywordAuthor turbulence -
dc.subject.keywordAuthor dissipation rate -
dc.subject.keywordAuthor pycnocline -
dc.subject.keywordAuthor mixed layer -
dc.subject.keywordAuthor Burr and lognormal probability distributions -
dc.subject.keywordAuthor skewness and kurtosis -
dc.relation.journalWebOfScienceCategory Oceanography -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Oceanography -
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