Publications related to the GRACE Missions (no abstracts)

Sorted by DateSorted by Last Name of First Author

Performance assessment of multiple LRI1B products for GRACE–FO time–variable gravity field recovery

Zhang, Jiahui, Tu, Rui, You, Wei, and Zhang, Pengfei, 2026. Performance assessment of multiple LRI1B products for GRACE–FO time–variable gravity field recovery. Advances in Space Research, 78(3):2154–2167, doi:10.1016/j.asr.2026.05.030.

Downloads

from the NASA Astrophysics Data System  • by the DOI System  •

BibTeX

@ARTICLE{2026AdSpR..78.2154Z,
       author = {{Zhang}, Jiahui and {Tu}, Rui and {You}, Wei and {Zhang}, Pengfei},
        title = "{Performance assessment of multiple LRI1B products for GRACE-FO time-variable gravity field recovery}",
      journal = {Advances in Space Research},
     keywords = {LRI, GRACE-FO, Time-variable gravity field, Post-fit residuals},
         year = 2026,
        month = aug,
       volume = {78},
       number = {3},
        pages = {2154-2167},
     abstract = "{The Gravity Recovery and Climate Experiment Follow-on (GRACE-FO)
        satellites carry a novel technology demonstration instrument,
        the laser ranging interferometer (LRI), parallel to the
        microwave interferometer (MWI) for inter satellite ranging. As
        critical geometric observations for capturing the Earth gravity
        field variation, the quality of monthly gravity field solutions
        and the characterization of residual sub-monthly signals are
        significantly influenced by the performance of the LRI Level-1B
        (LRI1B) data products. Currently, multiple versions of LRI1B
        products are independently processed and released by the Albert
        Einstein Institute (AEI), the Huazhong University of Science and
        Technology (HUST), the Jet Propulsion Laboratory (JPL), and the
        Sun Yat-sen University (SYSU). Here, we examine the performance
        of multiple LRI1B datasets on GRACE-FO time-variable gravity
        field recovery through data cross comparison, monthly LRI-based
        gravity solutions, and post-fit residuals from January 2019 to
        June 2023. All LRI1B data products maintain high data
        availability of {\ensuremath{\sim}}85\%. Direct cross
        comparisons reveal that the JPL v04 product presents
        systematically higher noise within the high frequency band
        exceeding 0.1 Hz. As for monthly gravity field solutions,
        spectral and geospatial analyses demonstrate that all four
        gravity solutions are consistent with GRACE-FO Science Data
        System (SDS) products, achieving comparable noise levels with an
        average open ocean root mean square of 3.06 cm and signal
        recovery correlations of {\ensuremath{\sim}}0.99 for annual mass
        variations. However, significant divergences are identified in
        the post-fit range rate and range acceleration residuals. With
        the low frequency component excluded, the JPL solution exhibits
        a noise floor of 4 {\texttimes} 10$^{{\ensuremath{-}}10}$
        m/s$^{2}$ for range acceleration residuals, whereas the AEI,
        HUST, and SYSU solutions maintain noise levels below 2
        {\texttimes} 10$^{{\ensuremath{-}}10}$ m/s$^{2}$. While the high
        frequency noise does not degrade monthly solutions, it presents
        a potential limitation for the extraction of subtle sub-monthly
        geophysical signals. These findings provide a scientific basis
        for data product selection and laser data processing strategies
        for the future mission.}",
          doi = {10.1016/j.asr.2026.05.030},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026AdSpR..78.2154Z},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

Generated by bib2html_grace.pl (written by Patrick Riley modified for this page by Volker Klemann) on Mon Aug 24, 2026 17:14:24

GRACE-FO

Mon Aug 24, F. Flechtner