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- W4384787390 abstract "High-frequency radar (HFR)-based observations are extremely useful for studying coastal process due to their fine spatio-temporal resolution. However, these observations often suffer from gaps, caused by a range of operational and external factors, which pose major challenges during their analysis. Herein, we propose the use of <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>spatio-temporal kriging</i> as a means to effectively fill such gaps. This method has been applied to HFR derived surface-current measurements made from the Tamil Nadu High-Frequency Radar station along the eastern coast of India. The proposed method was able to restore surface-current fields and reconstruct the mesoscale and submesoscale circulation features from sparse observations. The proposed method was cross-validated using the <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>leave-one-out cross-validation</i> and the <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>leave-one-day-out cross-validation</i> schemes which, when compared against the accuracy bounds of HFR-based surface-current observations, demonstrated the ability of the method to reconstruct surface-current fields with reasonable fidelity." @default.
- W4384787390 created "2023-07-20" @default.
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- W4384787390 date "2023-10-01" @default.
- W4384787390 modified "2023-10-15" @default.
- W4384787390 title "Reconstructing High-Frequency Radar Derived Ocean Surface-Current Fields Using Spatio-Temporal Kriging" @default.
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- W4384787390 doi "https://doi.org/10.1109/joe.2023.3283593" @default.
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