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Construction of sea surface current vectors using a single HF radar: A theoretical study

A technique called the stream and potential function method (SPFM) is presented to retrieve the sea surface current vector field from the radial-component measurements of only one high-frequency (HF) radar. SPFM estimates the surface current vector field jointly based on hydrodynamic constraints and...

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Detalles Bibliográficos
Autores principales: Shi, Junqiang, Chen, Xueen, Li, Xue, Chen, Ping, Shao, Qiuli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792561/
https://www.ncbi.nlm.nih.gov/pubmed/36582481
http://dx.doi.org/10.1016/j.isci.2022.105722
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author Shi, Junqiang
Chen, Xueen
Li, Xue
Chen, Ping
Shao, Qiuli
author_facet Shi, Junqiang
Chen, Xueen
Li, Xue
Chen, Ping
Shao, Qiuli
author_sort Shi, Junqiang
collection PubMed
description A technique called the stream and potential function method (SPFM) is presented to retrieve the sea surface current vector field from the radial-component measurements of only one high-frequency (HF) radar. SPFM estimates the surface current vector field jointly based on hydrodynamic constraints and a two-dimensional (2D) ocean current model. The current vector field is assumed to comprise two parts: nondivergent vortex flow and irrotational divergent flow; this guarantees that both the stream function and the potential function are considered. Physically, SPFM is embedded in a more physically consistent hydrodynamic framework that enables the spatiotemporal distribution characteristics of the current vector field at the sea surface to be effectively captured by a single HF radar. The evaluation of SPFM with HYCOM surface current dataset verifies that this approach is more reliable than the stream function method (SFM).
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spelling pubmed-97925612022-12-28 Construction of sea surface current vectors using a single HF radar: A theoretical study Shi, Junqiang Chen, Xueen Li, Xue Chen, Ping Shao, Qiuli iScience Article A technique called the stream and potential function method (SPFM) is presented to retrieve the sea surface current vector field from the radial-component measurements of only one high-frequency (HF) radar. SPFM estimates the surface current vector field jointly based on hydrodynamic constraints and a two-dimensional (2D) ocean current model. The current vector field is assumed to comprise two parts: nondivergent vortex flow and irrotational divergent flow; this guarantees that both the stream function and the potential function are considered. Physically, SPFM is embedded in a more physically consistent hydrodynamic framework that enables the spatiotemporal distribution characteristics of the current vector field at the sea surface to be effectively captured by a single HF radar. The evaluation of SPFM with HYCOM surface current dataset verifies that this approach is more reliable than the stream function method (SFM). Elsevier 2022-12-05 /pmc/articles/PMC9792561/ /pubmed/36582481 http://dx.doi.org/10.1016/j.isci.2022.105722 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Shi, Junqiang
Chen, Xueen
Li, Xue
Chen, Ping
Shao, Qiuli
Construction of sea surface current vectors using a single HF radar: A theoretical study
title Construction of sea surface current vectors using a single HF radar: A theoretical study
title_full Construction of sea surface current vectors using a single HF radar: A theoretical study
title_fullStr Construction of sea surface current vectors using a single HF radar: A theoretical study
title_full_unstemmed Construction of sea surface current vectors using a single HF radar: A theoretical study
title_short Construction of sea surface current vectors using a single HF radar: A theoretical study
title_sort construction of sea surface current vectors using a single hf radar: a theoretical study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792561/
https://www.ncbi.nlm.nih.gov/pubmed/36582481
http://dx.doi.org/10.1016/j.isci.2022.105722
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