Convergence zone analysis for a source in the front area of Kuroshio Extension based on Argo data

  • Yukun Zhang
  • , Kunde Yang
  • , Runze Xue
  • , Chunlong Huang
  • , Cheng Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Many studies have been conducted on acoustic propagation in different parts of the seas and oceans, and in this paper, the character of Convergence Zone (CZ) is analyzed in the front area of Kuroshio Extension. With cluster method and empirical orthogonal function decomposition method, formulas have been derived to get the grouped SSPs. After that an SSP field model based on Argo data is obtained by interpolation. On acoustic propagation path through the front area of Kuroshio Extension, character of convergence zone varies not only due to the continuously fluctuating depth of deep sound channel, which is dominated by the distribution and structure of Kuroshio Extension, but also affected by terrain, which has a strong impact to the characteristics and path of the KEF.

Original languageEnglish
Title of host publicationOCEANS 2019 - Marseille, OCEANS Marseille 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728114507
DOIs
StatePublished - Jun 2019
Event2019 OCEANS - Marseille, OCEANS Marseille 2019 - Marseille, France
Duration: 17 Jun 201920 Jun 2019

Publication series

NameOCEANS 2019 - Marseille, OCEANS Marseille 2019
Volume2019-June

Conference

Conference2019 OCEANS - Marseille, OCEANS Marseille 2019
Country/TerritoryFrance
CityMarseille
Period17/06/1920/06/19

Keywords

  • Acoustic model
  • Clustering method
  • Convergence zone
  • Kuroshio Extension
  • Shatsky Rise

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