Benchmarking of automatic quality control checks for ocean temperature profiles and recommendations for optimal sets.
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Domingues, Catia M.
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Millions of in situ ocean temperature profiles have been collected historically using various instrument types with varying sensor accuracy and then assembled into global databases. These are essential to our current understanding of the changing state of the oceans, sea level, Earth’s climate, marine ecosystems and fisheries, and for constraining model projections of future change that underpin mitigation and adaptation solutions. Profiles distributed shortly after collection are also widely used in operational applications such as real-time monitoring and forecasting of the ocean state and weather prediction. Before use in scientific or societal service applications, quality control (QC) procedures need to be applied to flag and ultimately remove erroneous data. Automatic QC (AQC) checks are vital to the timeliness of operational applications and for reducing the volume of dubious data which later require QC processing by a human for delayed mode applications. Despite the large suite.....
JournalFrontiers in Marine Science
Sustainable Development Goals (SDG)14.a
Essential Ocean Variables (EOV)Subsurface Temperature
CitationGood, S., Mills, B., Boyer, T., Bringas, F., Castelão, G., Cowley, R., Goni, G., Gouretski, V. and Domingues, C.M . (2023) Benchmarking of automatic quality control checks for ocean temperature profiles and recommendations for optimal sets. Frontiers in Marine Science, 9:1075510, 25pp. DOI: https://doi.org/10.3389/fmars.2022.1075510
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