In this study, we estimate a time series of geocenter anomalies from a combination of data from the Gravity Recovery and Climate Experiment (GRACE) satellite mission and the output from ocean models. A matrix equation is derived relating total geocenter variations to the GRACE coefficients of degrees two and higher and to the oceanic component of the degree one coefficients. We estimate the oceanic component from t wo state-of-the-art ocean models. Results are compared to independent estimates of geocenter derived from other satellite data, such as satellite laser ranging and GPS. Finally, we compute degree one coefficients that are consistent with the processing applied to the GRACE Level-2 gravity field coefficients. The estimated degree ...
Monthly GRACE gravity field models from the three science processing centers (CSR, GFZ, and JPL) are...
The latest release of GRACE (Gravity Recovery and Climate Experiment) gravity field coefficients (Re...
A methodology has been developed to estimate the accuracy of GRACE monthly solutions as functions of...
In this study, we estimate a time series of geocenter anomalies from a combination of data from the ...
The focus of the study is optimizing the technique for estimating geocenter motion and variations in...
Global degree-1 coefficients are derived by means of the method by Swenson et al. (2008) from a mode...
With the launch of the Gravity Recovery and Climate Experiment (GRACE) satellite mission in 2002 (ht...
Annual cycles in the geocenter motion time series are primarily driven by mass changes in the Earth’...
The Gravity Recovery and Climate Experiment (GRACE) processing centers at the GeoForschungsZentrum P...
Since its launch in 2002, the Gravity Recovery and Climate Experiment (GRACE) has been providing imp...
Geocenter motion and changes in the Earth’s dynamic oblateness (J2) are of great importance in many ...
The space-born gravity measurements of the Gravity Recovery and Climate Experiment (GRACE) allow est...
The Gravity Recovery and Climate Experiment (GRACE) provides estimates of the Earth's time-variable ...
Since early 2002, the Gravity Recovery and Climate Experiment (GRACE) twin satellite mission provide...
<p>In this study, we develop a methodology to estimate monthly variations in degree-1 andC<sub>20</s...
Monthly GRACE gravity field models from the three science processing centers (CSR, GFZ, and JPL) are...
The latest release of GRACE (Gravity Recovery and Climate Experiment) gravity field coefficients (Re...
A methodology has been developed to estimate the accuracy of GRACE monthly solutions as functions of...
In this study, we estimate a time series of geocenter anomalies from a combination of data from the ...
The focus of the study is optimizing the technique for estimating geocenter motion and variations in...
Global degree-1 coefficients are derived by means of the method by Swenson et al. (2008) from a mode...
With the launch of the Gravity Recovery and Climate Experiment (GRACE) satellite mission in 2002 (ht...
Annual cycles in the geocenter motion time series are primarily driven by mass changes in the Earth’...
The Gravity Recovery and Climate Experiment (GRACE) processing centers at the GeoForschungsZentrum P...
Since its launch in 2002, the Gravity Recovery and Climate Experiment (GRACE) has been providing imp...
Geocenter motion and changes in the Earth’s dynamic oblateness (J2) are of great importance in many ...
The space-born gravity measurements of the Gravity Recovery and Climate Experiment (GRACE) allow est...
The Gravity Recovery and Climate Experiment (GRACE) provides estimates of the Earth's time-variable ...
Since early 2002, the Gravity Recovery and Climate Experiment (GRACE) twin satellite mission provide...
<p>In this study, we develop a methodology to estimate monthly variations in degree-1 andC<sub>20</s...
Monthly GRACE gravity field models from the three science processing centers (CSR, GFZ, and JPL) are...
The latest release of GRACE (Gravity Recovery and Climate Experiment) gravity field coefficients (Re...
A methodology has been developed to estimate the accuracy of GRACE monthly solutions as functions of...