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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/44KJQME
Repositorysid.inpe.br/mtc-m21c/2021/05.04.14.53
Metadata Repositorysid.inpe.br/mtc-m21c/2021/05.04.14.53.51
Metadata Last Update2022:04.03.22.28.38 (UTC) administrator
DOI10.1175/JTECH-D-20-0090.1
ISSN0739-0572
Citation KeyVoermansBaKiCaSaPaPe:2021:WaAnDe
TitleWave anomaly detection in wave measurements
Year2021
MonthMar.
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
2. Context
Author1 Voermans, J. J.
2 Babanin, A. V.
3 Kirezci, C.
4 Carvalho, Jonas Takeo
5 Santini, Marcelo Freitas
6 Pavani, B. F.
7 Pezzi, Luciano Ponzi
Resume Identifier1
2
3
4
5
6
7 8JMKD3MGP5W/3C9JHM8
Group1
2
3
4 DIOTG-CGCT-INPE-MCTI-GOV-BR
5 DIOTG-CGCT-INPE-MCTI-GOV-BR
6
7 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation1 University of Melbourne
2 University of Melbourne
3 University of Melbourne
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Universidade de São Paulo (USP)
7 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1
2
3
4 jtcarvalho@gmail.com
5 santini.marcelo@gmail.com
6
7 luciano.pezzi@inpe.br
JournalJournal of Atmospheric and Oceanic Technology
Volume38
Number3
Pages525-536
Secondary MarkA2_INTERDISCIPLINAR A2_GEOCIÊNCIAS A2_CIÊNCIAS_AMBIENTAIS A2_BIODIVERSIDADE B1_ENGENHARIAS_II B2_CIÊNCIA_DA_COMPUTAÇÃO B2_ASTRONOMIA_/_FÍSICA
History (UTC)2021-05-04 14:53:51 :: simone -> administrator ::
2021-05-04 14:53:52 :: administrator -> simone :: 2021
2021-05-04 14:54:40 :: simone -> administrator :: 2021
2022-04-03 22:28:38 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractQuality control measures for ocean waves observations are necessary to give confidence of their accuracy. It is common practice to detect anomalies or outliers in surface displacement observations by applying a standard deviation threshold. Besides being a purely statistical method, this quality control procedure is likely to flag extreme wave events erroneously, thereby impacting higher-order descriptions of the wave field. In this paper we extend the use of the statistical phase-space threshold, an established outlier detection method in the field of turbulence, to detect anomalies in a wave record. We show that a wave record in phase space (here defined as a diagram of displacement against acceleration) can be enclosed by a predictable ellipse where the major and minor axes are defined by the spectral properties of the wave field. By using the parameterized ellipse in phase space as a threshold to identify wave anomalies, this is a semiphysical filtering method. Wave buoy data obtained from a mooring deployed near King George Island, Antarctica [as part of the Antarctic Modeling Observation System (ATMOS)], and laser altimeter data obtained at the Northwest Shelf of Australia were used to demonstrate the functioning of the filtering methodology in identifying wave anomalies. Synthetic data obtained using a high-order spectral model are used to identify how extreme waves are positioned in phase space.
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Arrangementurlib.net > CGGO > Wave anomaly detection...
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Visibilityshown
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6. Notes
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