No abstract

The Gravity Recovery and Climate Experiment (GRACE) satellite mission, which was launched in 2002, allowed mass anomalies at the global and regional scale to be estimated until June 2017 (Tapley et al., 2004(Tapley et al., , 2019. Those estimates have become one of the most valuable data sources being used to understand mass transport in the Earth system. Several research areas benefit from this information, including hydrology (e.g.

To monitor temporal variations of the Earth's gravity field and mass transport in the Earth's system, data from gravity recovery and climate experiment (GRACE) satellite mission and its successor GRACE Follow-On (GFO) are used. To fill in the temporal gap between these missions, other satellites' kinematic orbits derived from GPS-based high-low satellite-to-satellite tracking data may be considered. However, it is well known that kinematic orbits are highly sensitive to various systematic errors. These errors are responsible for a non-stationary noise in the kinematic orbits, which is difficult to handle. As a result, the quality of the obtained gravity field solutions is reduced. In this research, we propose to apply an epoch-difference (ED) scheme in the context of the classical dynamic approach to gravity field recovery. Compared to the traditional undifferenced (UD) scheme, the ED scheme is able to mitigate constant or slowly varying systematic errors. To demonstrate the added value of the ED scheme, three sets of monthly gravity field solutions produced from 6 years of GRACE kinematic orbits are compared: two sets produced in-house (with the ED and UD scheme), and a set produced with the undifferenced scheme in the frame of the short-arc approach (Zehentner and Mayer-Gürr in

No abstract

No abstract