Abstract

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 J Geodesy 90(3):275–286, 2015. https://doi.org/10.1007/s00190-015-0872-7). As a reference, we use state-of-the-art ITSG-Grace2018 monthly gravity field solutions. A comparison in the spectral domain shows that the gravity field solutions suffer from a lower noise level when the ED scheme is applied, particularly at low-degree terms, with cumulative errors up to degree 20 being reduced by at least 20%. In the spatial domain, the ED scheme notably reduces noise levels in the mass anomalies recovered. In addition, the signals in terms of mean mass anomalies in selected regions become closer to those inferred from ITSG-Grace2018 solutions, while showing no evidence of any damping, when the ED scheme is used. We conclude that the proposed ED scheme is preferable for time-varying gravity field modeling, as compared to the traditional UD scheme. Our findings may facilitate, among others, bridging the gap between GRACE and GFO satellite mission.

Highlights

  • Knowledge of temporal variations of the Earth’s gravity field is of importance to understand large-scale mass transport at and below the Earth’s surface

  • The gravity recovery and climate experiment (GRACE) mission was completed in October 2017, so that there exists a gap between GRACE and its successor, GRACE Follow-On (GFO), which was launched in May 2018

  • We propose to process the kinematic orbits through an epoch-difference (ED) scheme instead of the traditional undifferenced (UD) one in the context of the classical dynamic approach

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Summary

Introduction

Knowledge of temporal variations of the Earth’s gravity field is of importance to understand large-scale mass transport at and below the Earth’s surface. Kinematic orbits are usually derived from the hl-SST GPS data by a precise point positioning approach (Švehla and Rothacher 2005) and taken as pseudo-observations in gravity field modeling. Position and velocity per satellite and per arc Piecewise constant with an interval of 24 or 1.5 h One per month per component Between degrees 2 and 60 This is in order to keep consistency with the other GPSbased solutions considered in this study. We compute our gravity field solutions only up to degree and order 60 Such a high maximum degree is definitely beyond the sensitivity range of GPS data. The results showed that the differences between the solutions complete to degrees 60 and 100 were in all cases negligible below degree 55 This implies that the chosen resolution has little influence on the long-wavelength gravity field determination from kinematic orbits. The arc length is set equal in our data processing scheme to 24 h in order to keep consistency with the parameterization of the exploited kinematic orbits

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