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In-Orbit Performance of the GRACE Accelerometers and Microwave Ranging Instrument
by
Pail, Roland
, Murböck, Michael
, Hauk, Markus
, Dahle, Christoph
, Abrykosov, Petro
, Flechtner, Frank
in
accelerometer transplant
/ Accelerometers
/ climate
/ Earth system science
/ Empirical analysis
/ empirical parameters
/ geophysics
/ GRACE
/ GRACE (experiment)
/ Gravitational fields
/ gravity
/ Hydrology
/ mass transfer
/ Mass transport
/ microwave ranging instrument post-fit residuals
/ monthly gravity field determination
/ Noise levels
/ Parameter estimation
/ Parameters
/ Remote sensing
/ Satellites
/ Simulation
/ stochastic modeling
/ Stochastic models
/ stochastic processes
/ Time series
/ White noise
2023
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In-Orbit Performance of the GRACE Accelerometers and Microwave Ranging Instrument
by
Pail, Roland
, Murböck, Michael
, Hauk, Markus
, Dahle, Christoph
, Abrykosov, Petro
, Flechtner, Frank
in
accelerometer transplant
/ Accelerometers
/ climate
/ Earth system science
/ Empirical analysis
/ empirical parameters
/ geophysics
/ GRACE
/ GRACE (experiment)
/ Gravitational fields
/ gravity
/ Hydrology
/ mass transfer
/ Mass transport
/ microwave ranging instrument post-fit residuals
/ monthly gravity field determination
/ Noise levels
/ Parameter estimation
/ Parameters
/ Remote sensing
/ Satellites
/ Simulation
/ stochastic modeling
/ Stochastic models
/ stochastic processes
/ Time series
/ White noise
2023
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In-Orbit Performance of the GRACE Accelerometers and Microwave Ranging Instrument
by
Pail, Roland
, Murböck, Michael
, Hauk, Markus
, Dahle, Christoph
, Abrykosov, Petro
, Flechtner, Frank
in
accelerometer transplant
/ Accelerometers
/ climate
/ Earth system science
/ Empirical analysis
/ empirical parameters
/ geophysics
/ GRACE
/ GRACE (experiment)
/ Gravitational fields
/ gravity
/ Hydrology
/ mass transfer
/ Mass transport
/ microwave ranging instrument post-fit residuals
/ monthly gravity field determination
/ Noise levels
/ Parameter estimation
/ Parameters
/ Remote sensing
/ Satellites
/ Simulation
/ stochastic modeling
/ Stochastic models
/ stochastic processes
/ Time series
/ White noise
2023
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In-Orbit Performance of the GRACE Accelerometers and Microwave Ranging Instrument
Journal Article
In-Orbit Performance of the GRACE Accelerometers and Microwave Ranging Instrument
2023
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Overview
The Gravity Recovery and Climate Experiment (GRACE) satellite mission has provided global long-term observations of mass transport in the Earth system with applications in numerous geophysical fields. In this paper, we targeted the in-orbit performance of the GRACE key instruments, the ACCelerometers (ACC) and the MicroWave ranging Instrument (MWI). For the ACC data, we followed a transplant approach analyzing the residual accelerations from transplanted accelerations of one of the two satellites to the other. For the MWI data, we analyzed the post-fit residuals of the monthly GFZ GRACE RL06 solutions with a focus on stationarity. Based on the analyses for the two test years 2007 and 2014, we derived stochastic models for the two instruments and a combined ACC+MWI stochastic model. While all three ACC axes showed worse performance than their preflight specifications, in 2007, a better ACC performance than in 2014 was observed by a factor of 3.6 due to switched-off satellite thermal control. The GRACE MWI noise showed white noise behavior for frequencies above 10 mHz around the level of 1.5×10−6 m/Hz. In the combined ACC+MWI noise model, the ACC part dominated the frequencies below 10 mHz, while the MWI part dominated above 10 mHz. We applied the combined ACC+MWI stochastic models for 2007 and 2014 to the monthly GFZ GRACE RL06 processing. This improved the formal errors and resulted in a comparable noise level of the estimated gravity field parameters. Furthermore, the need for co-estimating empirical parameters was reduced.
Publisher
MDPI AG
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