@COMMENT This file was generated by bib2html_grace.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <https://sourceforge.net/users/patstg/>
@COMMENT This file was prepared using the NASA Astrophysics Data System (ADS)
@COMMENT https://ui.adsabs.harvard.edu/
@ARTICLE{2026ITGRS..64S4975L,
       author = {{Li}, Hong and {Zhou}, Hao and {Wang}, Kang and {Wang}, Penghui and {Li}, Yaozong and {Chen}, Yifeng and {Zheng}, Lijun and {Guo}, Xiang and {Luo}, Zhicai},
        title = "{HUST LRI1B V01: A Robust GRACE-FO Laser Ranging Dataset With Full-Mission Coverage for Multidisciplinary Geoscience Applications}",
      journal = {IEEE Transactions on Geoscience and Remote Sensing},
     keywords = {Gravity recovery and climate experiment follow-on (GRACE-FO), laser ranging interferometer (LRI), line-of-sight gravity difference (LGD), phase anomaly, time-variable gravity field},
         year = 2026,
        month = jan,
       volume = {64},
          eid = {TGRS.2026},
        pages = {TGRS.2026},
     abstract = "{To fully exploit the high-precision potential of the laser ranging
        interferometer (LRI) observations from the gravity recovery and
        climate experiment follow-on (GRACE-FO) mission, this study
        develops and releases a complete intersatellite ranging data
        product{\textemdash}HUST LRI1B V01{\textemdash}covering the full
        observation period from 2018 to 2023. Building upon the standard
        LRI data processing framework, several key methodological
        improvements are introduced, including: 1) a two-stage phase
        anomaly correction strategy combining the interpolation-based
        template method (ITM) and adaptive phase smoothing, which
        significantly enhances both computational efficiency and
        algorithm robustness while maintaining accuracy; 2) an updated
        analytical model for light time correction (LTC); and 3) a
        strategy for the replacement and removal of anomalous KBR1B data
        in scale factor estimation. Comprehensive evaluations
        demonstrate that HUST V01 significantly outperforms JPL RL04 in
        intersatellite range rate precision, performs comparably to the
        Albert Einstein Institute (AEI) V54, and exhibits improved
        stability under low-quality ranging conditions such as sun-
        blinding periods. Time-variable gravity field solutions derived
        from HUST V01 exhibit reduced noise in geoid height differences
        compared to the official product and show excellent consistency
        with AEI V54 solutions. Furthermore, the extracted line-of-sight
        gravity difference (LGD) signals show substantially reduced
        noise levels, enabling clear detection of regional mass
        variations (e.g., seasonal water storage changes in the Amazon
        Basin) and extreme hydrological events (e.g., the 2020
        Bangladesh floods) with distinct spatiotemporal characteristics.
        Overall, HUST LRI1B V01 provides a high-quality and stable data
        source for GRACE-FO gravity field recovery and offers reliable
        observational support for studying Earth's mass transport
        processes, monitoring hydrological and geological extremes, and
        investigating climate change.}",
          doi = {10.1109/TGRS.2026.3654975},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026ITGRS..64S4975L},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}