Abstract
The quality of Gravity Recovery and Climate Experiment (GRACE) observation is the prerequisite for obtaining the high-precision GRACE temporal gravity field model. To study the influence of new-generation GRACE Level-1B Release 03 (RL03) data and the new atmosphere and ocean de-aliasing (AOD1B) products on recovering temporal gravity field models and precise orbit determination (POD) solutions, we combined the global positioning system and K-band ranging-rate (KBRR) observations of GRACE satellites to estimate the effect of different data types on these solutions. The POD and monthly gravity field solutions are obtained from 2005 to 2010 by SHORDE software developed by the Shanghai Astronomical Observatory. The post-fit residuals of the KBRR data were decreased by approximately 10%, the precision of three-direction positions of the GRACE POD was improved by approximately 5%, and the signal-to-noise ratio of the monthly gravity field model was enhanced. The improvements in the new release of monthly gravity field model and POD solutions can be attributed to the enhanced Level-1B KBRR data and the AOD1B model. These improvements were primarily due to the enhanced of KBRR data; the effect of the AOD1B model was not significant. The results also showed that KBRR data slightly improve the satellite orbit precision, and obviously enhance the precision of the gravity field model.
Highlights
We combined on-board global positioning system (GPS) and K-band ranging-rate (KBRR) observations using the dynamic approach [32,40] to produce the Gravity Recovery and Climate Experiment (GRACE) monthly gravity field model and precise orbit determination (POD) solutions from 2005 to 2010
The monthly gravity field and POD solutions obtained from the Level-1B Release 02 (RL02) and Release 03 (RL03) datasets were labeled Solution
We analyzed the effects of each type of Level-1B data on monthly gravity field models and POD solutions
Summary
The significant contributions of GRACE satellites to the Earth’s gravity field are due to the satellite payload, including a global positioning system (GPS). The background model configurations and processing strategy used to determine the temporal gravity field and LEO POD solutions are critical. It includes perturbations caused by the N-body perturbation, solid Earth tide, solid Earth pole tide, ocean tide, ocean pole tide, relativistic perturbation, changes in atmospheric and oceanic mass distributions, and non-conservative forces. The bias and scales of the accelerometer were assessed at 1 h and 1-day intervals, respectively, whereas the empirical KBRR parameters were estimated once every 1.5 h using a polynomial fit. The fit parameter included the range-rate bias, drift, and cos/sin coefficient of the range bias
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