| Summary: | Abstract: In order to analyze the influence of K-band and LRI inter-satellite range-rate observation from GRACE-FO on gravity field recovery. Incorporating both K-Band and LRI inter-satellite range-rate data from GRACE-FO into gravity field recovery, we derive a new time series of monthly solutions entitled Tongji-Grace2022 complete to degrees and orders 60, 96, and 120 over the period Apr. 2002 to Sept.2022. During deriving Tongji-Grace2022, the[S1] low-degree coefficients up to d/o 6 were co-estimated with the high-degree coefficients to account for the temporal variations within one month. Analyses of Tongji-Grace2022 allow us to draw the following conclusions: (1) In the time domain, the RMS of LRI post-fit residuals is about 50% less than that of KBR; (2) In the frequency domain, the LRI shows significant noise reduction as compared to K-band data at high frequencies; (2) The comparison of Tongji-Grace2022 to CSR RL06, JPL RL06, GFZ RL06, and ITSG‐Grace2018 in terms of geoid degree variances suggests that Tongji-Grace2022 agrees well with other GRACE models at the low degrees (below degree 30), while the high-frequency noise in Tongji-Grace2022 is significantly reduced; (3) Less striping noise over oceans can be observed in Tongji-Grace2022 even only using decorrelation filtering (P4M6); (4) Over the selected river basins (i.e., Amazon, Mississippi, and Ganges) and Greenland, the correlation coefficient of the mass changes between Tongji-Grace2022 and others (i.e., CSR RL06, JFZ RL06, ITSG‐ Grace2018) are all over 92%.
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