Fri Apr 10, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Li, Hong, Zhou, Hao, Wang, Kang, Wang, Penghui, Li, Yaozong, Chen, Yifeng, Zheng, Lijun, Guo, Xiang, and Luo, Zhicai, 2026. HUST LRI1B V01: A Robust GRACE–FO Laser Ranging Dataset With Full–Mission Coverage for Multidisciplinary Geoscience Applications. IEEE Transactions on Geoscience and Remote Sensing, 64:TGRS.2026, doi:10.1109/TGRS.2026.3654975.
• from the NASA Astrophysics Data System • by the DOI System •
@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}
}
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