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Tidal harmonics retrieval using GNSS-R dual-frequency complex observations

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  • معلومة اضافية
    • الموضوع:
      2023
    • Collection:
      GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)
    • نبذة مختصرة :
      Tidal analysis and methods for estimation and prediction of ocean tidal constitutes are essential in a large area of scientific disciplines, for example, navigation, onshore and offshore engineering, and production of green energy. Ground-based Global Navigation Satellite System-Reflectometry (GNSS-R) has been proposed as an alternative method for measuring sea surface height. We use 6 years of GNSS-R observations at In-phase and Quadrature levels from July 2015 to May 2021 obtained from a dedicated receiver and sea-looking left hand circular polarization antenna for estimating sea level (SL). In the first step, the multivariate least-square harmonic estimation (LS-HE) method is applied for SL estimation. Then, final SL time series are generated by combining estimated SL from all satellites at L1 and L2 frequencies in the averaging step. The 6-year root-mean-square error between GNSS-R L12 sea surface heights and a collocated tide gauge (TG) is 5.8 cm with a correlation of 0.948 for a high temporal resolution of 5 min with 15 min averaging window. Afterward, using the univariate LS-HE, we detect tidal harmonics with periods between 30 min to 1 year. The detection results highlight a good match between GNSS-R and TG. Higher harmonics, i.e., the periods shorter than 3 h, show stronger signatures in GNSS-R data. Finally, we estimate the amplitude and phase of standard tidal harmonics from the two datasets. The results show an overall good agreement between the datasets with a few exceptions.
    • File Description:
      application/pdf
    • Relation:
      https://gfzpublic.gfz-potsdam.de/pubman/item/item_5024349; https://gfzpublic.gfz-potsdam.de/pubman/item/item_5024349_1/component/file_5024394/5024349.pdf
    • Rights:
      info:eu-repo/semantics/openAccess ; https://creativecommons.org/licenses/by/4.0/
    • الرقم المعرف:
      edsbas.64F59EA4