A Gaussian function model of mesoscale eddy temperature anomalies and research of spatial distribution characteristics

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dc.contributor.authorDuan, Yingying
dc.contributor.authorZhang, Hao
dc.contributor.authorChen, Xiao
dc.contributor.authorZhou, Manli
dc.date.accessioned2024-10-10T17:23:09Z
dc.date.available2024-10-10T17:23:09Z
dc.date.issued2024
dc.description.abstractMesoscale eddies are ubiquitous oceanic phenomena and play an important role in ocean circulation, ocean dynamics, and the transport of material energy. Temperature anomalies are a crucial parameter that reflects the state of mesoscale eddies. This study proposes a Gaussian function model to fit the vertical temperature anomaly (TA) profile to facilitate the analysis of variations, and the principle of the model is based on the fact that each TA profile tends to fluctuate around one or more peaks. The model is extracted and validated using Argo profiles within cyclonic and anticyclonic eddies in the Northwest Pacific Ocean spanning over the period from 2002 to 2021. The validation demonstrates that the model can accurately recover the vertical TA profiles with a limited number of parameters. This makes it suitable for analysing the spatial distribution patterns that require a large sample count. The analysis indicates that eddies with different TA profiles have a spatial aggregation effect in geographic distribution. Eddies with lower extreme temperature anomalies, at depths of 200–300 m, are mainly distributed along two bands on the north side of the Kuroshio Extension (KE) and the North Equatorial Current. Eddies with extreme TAs at the deepest depth (500–600 m) are distributed along the KE.
dc.description.reviewstatusReviewed
dc.description.scholarlevelFaculty
dc.description.sponsorshipThis research was funded by the National Natural Science Foundation of China, Grant No. 42276179 and 62271459, and Laoshan Laboratory Science and Technology Innovation Projects, Grant No. LSKJ202201302 and LSKJ202204301.
dc.identifier.citationDuan, Y., Zhang, H., Chen, X., & Zhou, M. (2024). A Gaussian function model of mesoscale eddy temperature anomalies and research of spatial distribution characteristics. Remote Sensing, 16(10), Article 10. https://doi.org/10.3390/rs16101716
dc.identifier.urihttps://doi.org/10.3390/rs16101716
dc.identifier.urihttps://hdl.handle.net/1828/20532
dc.language.isoen
dc.publisherRemote Sensing
dc.rightsAttribution CC BY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectArgo profiles
dc.subjectGaussian model
dc.subjectmesoscale eddy
dc.subjectNorthwest Pacific Ocean (NWPO)
dc.subjectvertical temperature anomaly structure
dc.subject.departmentDepartment of Electrical and Computer Engineering
dc.titleA Gaussian function model of mesoscale eddy temperature anomalies and research of spatial distribution characteristics
dc.typeArticle

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