High frequency radar error classification and prediction based on K-means methods Article Swipe
Zhaoyi Wang
,
Marie Drévillon
,
Pierre De Mey-Frémaux
,
Elisabeth Rémy
,
Nadia Ayoub
,
Dakui Wang
,
Bruno Levier
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3389/fmars.2024.1448427
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3389/fmars.2024.1448427
This study aims to characterize the high frequency radar and numerically simulated low-frequency filtered currents in the south-eastern Bay of Biscay (study area) using a K-means classification algorithm based on an improved Euclidean Distance calculation method that does not take missing values. The errors between observations and simulations was estimated and predicted based on this classification method. Results indicate that predominantly eastward (northward) currents over the Spanish (French) continental shelf/slope in winter and more variable currents in the west and south-west in summer. The model classification results for circulation characteristics are in relatively good agreement with HF radar results, especially for currents on the Spanish (French) shelf/slope. In addition, the probabilistic relationship between observed and modeled currents was explored, obtaining the probability of occurrence of modeled current groups when each group of observed currents occurs. Finally, predictions of model and observed current errors were made based on the classification results, and it was found that the predictions based on the classification of all data had the smallest errors, with a 17% improvement over the unclassified control experiment. This study provides a foundation for subsequent model error testing, forecast product improvement and data assimilation.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fmars.2024.1448427
- OA Status
- gold
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404016718
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4404016718Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fmars.2024.1448427Digital Object Identifier
- Title
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High frequency radar error classification and prediction based on K-means methodsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-11-04Full publication date if available
- Authors
-
Zhaoyi Wang, Marie Drévillon, Pierre De Mey-Frémaux, Elisabeth Rémy, Nadia Ayoub, Dakui Wang, Bruno LevierList of authors in order
- Landing page
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https://doi.org/10.3389/fmars.2024.1448427Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3389/fmars.2024.1448427Direct OA link when available
- Concepts
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Radar, Current (fluid), Data assimilation, Probabilistic logic, Ocean current, Meteorology, Geology, Statistics, Mathematics, Computer science, Geography, Climatology, Telecommunications, OceanographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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37Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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