the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
CRA-LICOM: A global high-frequency atmospheric and oceanic temporal gravity field product (2002–2024)
Abstract. Modeling sub-daily mass changes, dominated by the atmosphere and the oceans, is not only essential for understanding weather and climate change but also serves as a fundamental requirement for nearly all existing terrestrial or space-borne geodetic observations to perform signal separation. Removing these high-frequency mass changes, through the usage of so-called de-aliasing products, is of particular interest for satellite gravity missions such as GRACE and GRACE-FO to prevent the aliasing of short-term mass changes into seasonal and long-term mass variability. However, establishing a global observation network to monitor high-frequency gravity signals is impractical. Thus, ongoing efforts focus on simulating this high-frequency signal by driving atmospheric/oceanic numerical models with specific climate-forcing fields and assimilating observational data. Its realization relies on a complicated system and the uncertainty of obtained results is non-negligible for its dependency on selected forcing field and ocean model.
To explore the signal and uncertainty of de-aliasing products, we establish China’s first de-aliasing computation platform, independently. This is achieved by using the recently released CRA-40 (China’s first generation of atmospheric reanalysis) as forcing fields to drive our in-house 3-D atmospheric integration model and the LASG/IAP (State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics/Institute of Atmospheric Physics) Climate System Ocean Model 3.0 (LICOM3.0). With this new platform, we reproduce an alternative high-frequency atmospheric and oceanic gravity de-aliasing product, called CRA-LICOM, at 6 hourly and 50 km resolution, covering 2002–2024 at a global scale. The product is freely available at https://doi.org/10.11888/SolidEar.tpdc.302016. Inter-comparisons with the products of GFZ (Deutsches GeoForschungsZentrum) and validations against independent observations have revealed: (i) the current version of CRA-LICOM has well satisfied the requirement of the state-of-the-art satellite gravity missions, as well as other geodetic measurements, and (ii) despite agreement across most areas, considerable uncertainty is found at marginal seas near continental shelves, particularly at high-latitude regions. Therefore, scientific applications that aim to understand the fast-changing global water cycle, as well as mission design of future satellite gravity that seeks accurate gravity de-aliasing, can use our product as a reliable source. The current platform has the potential to be improved in terms of modeling and data assimilation capacity, which will be outlined in this study.
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Status: open (until 06 Jun 2025)
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RC1: 'Review on essd-2025-81', Anonymous Referee #1, 24 Apr 2025
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I just read the manuscript "CRA-LICOM: A global high-frequency atmospheric and oceanic temporal gravity field product" submitted by Fan Yang et al. for possible publication in Earth System Science Data. The text describes a non-tidal atmosphere and ocean dealiasing product that is intended to minimize temporal aliasing artifacts in data products obtained from the sensor data of the GRACE/-FO satellite gravimetry missions. The paper is generally well written and fits nicely into the scope of the journal. However, a number of issues need to be resolved before publication can be recommended.
(1) The paper discusses in great detail the tides simulated in CRA-LICOM and compares those tidal signals in both atmosphere and oceans to the signals found in ERA5 and MPIOM. On the other hand, authors are also stating that tides should be treated separately in the gravity field processing (line 52). I agree to that notion and suggest that authors just make sure that no distinct periodic variations associated with tides remain in their CRA-LICOM AOD data. Please note that those tidal lines can differ from the frequencies considered in AOD1B RL07 for reasons associated with, e.g., the differing temporal sampling. Figure 4 should be revised to include figures of all partial tides that were considered as relevant. A 1:1 comparison to AOD1B RL07 can be, however, omitted.
(2) LICOM misses atmospheric surface pressure forcing (line 230) and consequently misses a part of the high-frequency excitation of ocean bottom pressure. This limitation of LICOM should be emphasized more prominently in the article.
(3) The oceanic component of S2 appears to be a consequence of the applied IB correction. It would be adviseable to perform the de-tiding first and apply the IB correction afterwards.
(4) The spin-up period of the model experiment appears to be rather short: please provide a plot comparing the drift in your model experiment with the drift in the various spin-up cycles to demonstrate that there is no artificial drift present in the product.
(5) It is surprising to read that the adopted value for g differs from the WMO constant (line 225). Please explain your choice in more detail.
(6) Line 285: The "Earth's gravity system" reads odd. Please revise.
(7) Line 307: The potential double bookkeeping of S2 has been an issue with AOD1B RL04 and earlier versions. since that time, AOD1B is defined as purely "non-tidal" and all atmospheric tides (including S2) need to be corrected with separate models. Please revise the statement.
(8) Figure 6 is not really insightful, since the signal characteristics are so different between oceans and land. I suggest to explore alternative ways for the comparison with the official AOD1B RL07 product by GFZ.
(9) It would be nice to plot postfit residuals in Figure 8 instead of the prefits. Many of the most prominent features in your plots will disappear so that smaller details become visible (and can be discussed).
Citation: https://doi.org/10.5194/essd-2025-81-RC1
Data sets
CRA-LICOM: A global high-frequency atmospheric and oceanic temporal gravity field product (2002-2024), National Tibetan Plateau / Third Pole Environment Data Center Liu et al. https://doi.org/10.11888/SolidEar.tpdc.302016
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