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- W4312234233 abstract "In a previous paper, the authors showed that up to first-order, the significant wave height from a patch of the ocean is linearly proportional to the standard deviation of the received electric field from that patch using a High-Frequency Surface-Wave radar. In previous work, this was demonstrated and verified, by using volatility estimation methods, e.g. from financial mathematics, to verify that indeed this linear proportionality relation roughly holds. In this paper, we show that estimation based on linear proportionality may also be used to improve estimates of significant wave height when measurements are missing from a high-frequency surface wave radar (HFSWR). This is demonstrated using field data from Argentia, Newfoundland, Canada, and thus may potentially be used to increase reliability of estimated ocean wave parameters from HFSWR systems which may not be continuously operational due to transmission or other technical issues." @default.
- W4312234233 created "2023-01-04" @default.
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- W4312234233 date "2022-10-17" @default.
- W4312234233 modified "2023-09-27" @default.
- W4312234233 title "Volatility Estimation for Improved Infilling of Missing Significant Ocean Wave Height Data from High-Frequency Surface Wave Radar" @default.
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- W4312234233 doi "https://doi.org/10.1109/oceans47191.2022.9977364" @default.
- W4312234233 hasPublicationYear "2022" @default.
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