Evaluation of the operational Mercator Global Ocean analysis and forecast system modelled current vector product with in-situ ADCP data in the Southern Benguela upwelling system

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dc.contributor.advisorClark
dc.contributor.advisorBarry
dc.contributor.advisorSchmidt, Kevin
dc.contributor.advisorVichi, Marcello
dc.contributor.authorGammon, Emily
dc.date.accessioned2025-11-14T10:41:55Z
dc.date.available2025-11-14T10:41:55Z
dc.date.issued2025
dc.date.updated2025-11-14T10:37:26Z
dc.description.abstractGlobal ocean current vector datasets are frequently used to force, or are assimilated into, local and regional particle tracking and pollutant dispersal models, metocean forecasting platforms, climate analyses, and natural resource management applications. The Operational Mercator global ocean analysis and forecast system (Mercator data product), made publicly available in 2022, provides near-real-time vector components of global ocean currents at 50 vertical levels (depths) in the water column with a horizontal resolution of 1/12 degree. Validation of ocean forecasting and simulation models is required to assess a modelled product's ability to represent the local environment. Validation is done using in-situ data such as those gathered by Acoustic Doppler Current Profilers (ADCP). In this study, an upward-facing Nortek Signature 250 ADCP was deployed at a depth of 123 m off the Southern Namibian coast for ten months. The resulting current profile data were used to validate the Mercator data product for the same area. Data collected by the ADCP and simulated data from the NEMO model were matched spatially (nearest-neighbour) and temporally (rolling average), and the similarity of current vector components was statistically investigated. Spearman Rank-Order Correlation, root-mean-square-error and bias were calculated for the full time series. The seasonal percent occurrence of current vector magnitude and direction were subsequently derived to assess the Mercator data product's ability to represent seasonal variability. The Mercator data product captured the seasonal variation in the magnitude of the nearshore southern Benguela Upwelling System for both the zonal and meridional components well. The Mercator data product represented much lower complexity in the direction of bulk flow GAMMON iii within the system but did contain the daily oscillation pattern measured by the ADCP. The Benguela Current is a physically complex eastern boundary current spanning three countries, used extensively for fishing, mining, maritime transit, and oil extraction. The ocean current outputs from the Mercator data product could allow for improved pollution modelling (oil dispersion or plume modelling), improved fuel optimisation models for maritime transit, and productivity prediction to support fisheries management without the cost of deploying devices to measure ocean currents in situ.
dc.identifier.apacitationGammon, E. (2025). <i>Evaluation of the operational Mercator Global Ocean analysis and forecast system modelled current vector product with in-situ ADCP data in the Southern Benguela upwelling system</i>. (). University of Cape Town ,Faculty of Science ,Department of Oceanography. Retrieved from http://hdl.handle.net/11427/42223en_ZA
dc.identifier.chicagocitationGammon, Emily. <i>"Evaluation of the operational Mercator Global Ocean analysis and forecast system modelled current vector product with in-situ ADCP data in the Southern Benguela upwelling system."</i> ., University of Cape Town ,Faculty of Science ,Department of Oceanography, 2025. http://hdl.handle.net/11427/42223en_ZA
dc.identifier.citationGammon, E. 2025. Evaluation of the operational Mercator Global Ocean analysis and forecast system modelled current vector product with in-situ ADCP data in the Southern Benguela upwelling system. . University of Cape Town ,Faculty of Science ,Department of Oceanography. http://hdl.handle.net/11427/42223en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Gammon, Emily AB - Global ocean current vector datasets are frequently used to force, or are assimilated into, local and regional particle tracking and pollutant dispersal models, metocean forecasting platforms, climate analyses, and natural resource management applications. The Operational Mercator global ocean analysis and forecast system (Mercator data product), made publicly available in 2022, provides near-real-time vector components of global ocean currents at 50 vertical levels (depths) in the water column with a horizontal resolution of 1/12 degree. Validation of ocean forecasting and simulation models is required to assess a modelled product's ability to represent the local environment. Validation is done using in-situ data such as those gathered by Acoustic Doppler Current Profilers (ADCP). In this study, an upward-facing Nortek Signature 250 ADCP was deployed at a depth of 123 m off the Southern Namibian coast for ten months. The resulting current profile data were used to validate the Mercator data product for the same area. Data collected by the ADCP and simulated data from the NEMO model were matched spatially (nearest-neighbour) and temporally (rolling average), and the similarity of current vector components was statistically investigated. Spearman Rank-Order Correlation, root-mean-square-error and bias were calculated for the full time series. The seasonal percent occurrence of current vector magnitude and direction were subsequently derived to assess the Mercator data product's ability to represent seasonal variability. The Mercator data product captured the seasonal variation in the magnitude of the nearshore southern Benguela Upwelling System for both the zonal and meridional components well. The Mercator data product represented much lower complexity in the direction of bulk flow GAMMON iii within the system but did contain the daily oscillation pattern measured by the ADCP. The Benguela Current is a physically complex eastern boundary current spanning three countries, used extensively for fishing, mining, maritime transit, and oil extraction. The ocean current outputs from the Mercator data product could allow for improved pollution modelling (oil dispersion or plume modelling), improved fuel optimisation models for maritime transit, and productivity prediction to support fisheries management without the cost of deploying devices to measure ocean currents in situ. DA - 2025 DB - OpenUCT DP - University of Cape Town KW - Ocean surface current KW - Model validation KW - Benguela Current KW - Acoustic Doppler Current Profiler LK - https://open.uct.ac.za PB - University of Cape Town PY - 2025 T1 - Evaluation of the operational Mercator Global Ocean analysis and forecast system modelled current vector product with in-situ ADCP data in the Southern Benguela upwelling system TI - Evaluation of the operational Mercator Global Ocean analysis and forecast system modelled current vector product with in-situ ADCP data in the Southern Benguela upwelling system UR - http://hdl.handle.net/11427/42223 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/42223
dc.identifier.vancouvercitationGammon E. Evaluation of the operational Mercator Global Ocean analysis and forecast system modelled current vector product with in-situ ADCP data in the Southern Benguela upwelling system. []. University of Cape Town ,Faculty of Science ,Department of Oceanography, 2025 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/42223en_ZA
dc.language.isoen
dc.language.rfc3066eng
dc.publisher.departmentDepartment of Oceanography
dc.publisher.facultyFaculty of Science
dc.publisher.institutionUniversity of Cape Town
dc.subjectOcean surface current
dc.subjectModel validation
dc.subjectBenguela Current
dc.subjectAcoustic Doppler Current Profiler
dc.titleEvaluation of the operational Mercator Global Ocean analysis and forecast system modelled current vector product with in-situ ADCP data in the Southern Benguela upwelling system
dc.typeThesis / Dissertation
dc.type.qualificationlevelMasters
dc.type.qualificationlevelMSc
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