the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global satellite gravity data products for prompt detection of short-term Mass Change (MC)
Abstract. We present the globally available dataset of Line-of-sight Gravity Differences (LGD) as a new data product to fill the long-standing gap of investigating sub-monthly surface mass change from the satellite gravimetry along-track perspective. The dataset is generated directly from Gravity Recovery and Climate Experiment Follow-on (GRACE-FO) Level-1B intersatellite ranging observations, positioned conceptually between Level-1B measurements and Level-2 monthly gravity field solutions. Provided as along-track time series, LGD delivers instantaneous, in situ gravity change at satellite altitude, thus ensuring the fidelity of measurements by avoiding the complex preprocessing, regularization, and filtering applied to monthly products. The LGD dataset enables monitoring of sub-monthly terrestrial water storage variability and provides accurate information on timing and magnitude of water mass changes. GRACE-FO’s ground track allows LGD retrievals every 5–6 days in most low and mid latitude regions, while the revisit interval becomes shorter toward higher latitudes. Our LGD data products also contain climatology in the form of along-track gravity variations. We demonstrate its potential through case studies, including along-track diagnosis of flash drought evolution in the southeastern United States and the characterization of sub-monthly hydrological extremes in global hotspots. Results show that the LGD dataset resolves the critical timing (onset, peak, and termination) of hydrological extremes, which is unattainable from monthly products. The LGD dataset is available at https://doi.org/10.5281/zenodo.17766177 (Tang et al., 2025), which is expected to pave the way for advances in sub-monthly hydrological monitoring and can serve as a unique constraint for hydrological and geophysical models, opening new opportunities for Earth system sciences.
- Preprint
(3411 KB) - Metadata XML
- BibTeX
- EndNote
Status: open (until 05 Jul 2026)
- RC1: 'Comment on essd-2025-829', Anonymous Referee #1, 24 Mar 2026 reply
-
CC1: 'Comment on essd-2025-829', Hong Li, 04 Jun 2026
reply
Dear Authors,
I am very interested in the preprint entitled “Global satellite gravity data products for prompt detection of short-term Mass Change (MC)”. This work presents, for the first time in a systematic manner, a global dataset of Line-of-sight Gravity Differences (LGD) derived directly from GRACE-FO Level-1B observations, together with a detailed description of the generation methodology, data structure, and potential applications. I believe this study is of great scientific significance and practical value.
First, as an along-track instantaneous gravity observable, LGD breaks through the temporal resolution limitation of conventional GRACE/GRACE-FO monthly solutions (L2 or Mascon products). It captures surface mass variations at intervals of 5–6 days or even shorter, filling a long-standing gap in sub-monthly hydrological monitoring. More importantly, it paves the way for transitioning satellite gravimetry from pure scientific research towards operational applications, such as near-real-time early warning of flash droughts and rapid floods. The case studies presented (e.g., flash drought in the southeastern United States, sub-monthly changes in the Amazon and South Sudan) clearly demonstrate the unique advantage of the LGD dataset in resolving the onset, peak, and termination phases of hydrological extremes.
Second, since the transfer function method was introduced by Ghobadi-Far et al. (2018), LGD has gained broad interest in fields such as seismology, hydrology, and drought studies. However, the computation of LGD involves complex procedures including dynamic orbit integration, accelerometer calibration, and spectral transformation, which creates a high technical barrier for many potential users. The authors have done an outstanding job in processing the data with great care, making the entire workflow publicly available as a ready-to-use dataset. By downloading the published data, I found the data quality to be very high, with very few outliers, reflecting the authors’ rigorous data processing. Furthermore, the authors provide two additional functional LGD time series (L2-synthetic LGD and climatology-based LGD), which involve substantial extra work and offer users a rich set of product choices.
The paper also provides a clear and detailed description of the entire processing chain from L1B to LGD (reference orbit integration, range-rate residuals, range-acceleration residuals, transfer function, and band partitioning). The open-source code for forward-modeling LGD from L2 monthly solutions is also shared, ensuring good reproducibility.
While I strongly support this work, I would like to offer one minor technical suggestion. In Figure 5c, the LRI-LGD curves show noticeable high-frequency spikes (e.g., near the equator and between 30°N–0°N). Based on my understanding, these spikes are mainly caused by imperfect handling of phase jumps induced by attitude-control thruster firings in the JPL LRI1B RL04 product. If alternative LRI1B products from other institutions—such as HUST V01 (Huazhong University of Science and Technology), SYSU S10 (Sun Yat-sen University), or AEI V54 (Albert Einstein Institute)—are used, these thruster-induced artifacts can be further suppressed, thereby improving the signal-to-noise ratio of LRI-LGD in the frequency band around 20 mHz, albeit to a limited extent. The authors may consider evaluating the impact of different LRI1B products in a future update.
In addition, the current dataset only covers the GRACE-FO period (June 2018 – December 2024). Many long-term hydrological studies require a longer time series. I hope that the authors will process and release the LGD results for the GRACE mission (e.g., 2002–2017) as soon as possible. I believe this is not only my personal wish but also a common expectation among many potential users.
Overall, this dataset represents a major advance in satellite gravimetry, providing a valuable new tool for sub-monthly hydrological monitoring and Earth system science. Thank you again for the authors’ excellent work.
Sincerely,
HongLi
Citation: https://doi.org/10.5194/essd-2025-829-CC1
Data sets
GRACE Follow-On line-of-sight gravity data products M. Tang et al. https://doi.org/10.5281/zenodo.17766177
Viewed
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 379 | 372 | 31 | 782 | 45 | 85 |
- HTML: 379
- PDF: 372
- XML: 31
- Total: 782
- BibTeX: 45
- EndNote: 85
Viewed (geographical distribution)
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
Please find attached the file to see my review comments.
The article is subject to technical corrections, which are essential for correct reproducibility and completeness.