GRACE and GRACE-FO Related Publications (no abstracts)

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A Transfer Function Between Line-of-Sight Gravity Difference and GRACE Intersatellite Ranging Data and an Application to Hydrological Surface Mass Variation

Ghobadi-Far, Khosro, Han, Shin-Chan, Weller, Steven, Loomis, Bryant D., Luthcke, Scott B., Mayer-Gürr, Torsten, and Behzadpour, Saniya, 2018. A Transfer Function Between Line-of-Sight Gravity Difference and GRACE Intersatellite Ranging Data and an Application to Hydrological Surface Mass Variation. Journal of Geophysical Research (Solid Earth), 123(10):9186–9201, doi:10.1029/2018JB016088.

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@ARTICLE{2018JGRB..123.9186G,
       author = {{Ghobadi-Far}, Khosro and {Han}, Shin-Chan and {Weller}, Steven and {Loomis}, Bryant D. and {Luthcke}, Scott B. and {Mayer-G{\"u}rr}, Torsten and {Behzadpour}, Saniya},
        title = "{A Transfer Function Between Line-of-Sight Gravity Difference and GRACE Intersatellite Ranging Data and an Application to Hydrological Surface Mass Variation}",
      journal = {Journal of Geophysical Research (Solid Earth)},
     keywords = {GRACE, time-variable gravity, correlation, admittance, range-acceleration, surface water},
         year = 2018,
        month = oct,
       volume = {123},
       number = {10},
        pages = {9186-9201},
     abstract = "{We develop a transfer function to determine in situ line-of-sight
        gravity difference (LGD) directly from Gravity Recovery and
        Climate Experiment (GRACE) range-acceleration measurements. We
        first reduce GRACE data to form residual range-acceleration
        referenced to dynamic orbit computed with a reference gravity
        field and nonconservative force data. Thus, the residuals and
        the corresponding LGD data reflect time-variable gravity
        signals. A transfer function is designed based on correlation-
        admittance spectral analysis. The correlation spectrum shows
        that residual range-acceleration and LGD are near-perfectly
        correlated for frequencies >5 cycles-per-revolution. The
        admittance spectrum quantifies that the LGD response to range-
        acceleration is systematically larger at lower frequencies, due
        to the increased contribution of centrifugal acceleration. We
        find that the correlation and admittance spectra are stationary
        (i.e., are independent of time, satellite altitude, and gravity
        strength) and, therefore, can be determined a priori with high
        fidelity. We determine the spectral transfer function and the
        equivalent time domain filter. Using both synthetic and actual
        GRACE data, we demonstrate that in situ LGD can be estimated via
        the transfer function with an estimation error of 0.15
        nm/s$^{2}$, whereas the actual GRACE data error is around 1.0
        nm/s$^{2}$. We present an application of LGD data to surface
        water storage changes in large basins such as Amazon, Congo,
        Parana, and Mississippi by processing 11 years of GRACE data.
        Runoff routing models are calibrated directly using LGD data.
        Our technique demonstrates a new way of using GRACE data by
        forward modeling of various geophysical models and in-orbit
        comparison with such GRACE in situ data.}",
          doi = {10.1029/2018JB016088},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2018JGRB..123.9186G},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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