Orbit Optimization for Future Satellite Gravity Field Missions: Influence of the Time Variable Gravity Field Models in a Genetic Algorithm Approach

Pour, Siavash Iran; Sneeuw, Nico; Weigelt, Matthias; Amiri-Simkooei, A. R.

doi:10.1007/1345_2019_79

Cited by 2 publications

(5 citation statements)

References 13 publications

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“…Iran Pour et al. (2019) adopted the genetic algorithm to explore the effects of different error sources on search optimization orbital parameters under the Bender formation. Deccia et al.…”

Section: Determine the Optimal Initial Orbit Parameters Of The Chines...mentioning

confidence: 99%

The Temporal Improvement of Earth's Mass Transport Estimated by Coupling GRACE‐FO With a Chinese Polar Gravity Satellite Mission

Yan,

Ran,

Xiao

et al. 2023

JGR Solid Earth

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Over the past 20 years, the Gravity Recovery and Climate Experiment (GRACE), and its successor mission, GRACE‐Follow On (GRACE‐FO) have made significant contributions to time‐variable gravity field modeling. A Chinese low‐low satellite‐to‐satellite tracking gravimetry mission (i.e., Chinese future gravimetry mission) has been confirmed to be selected as the polar‐orbiting satellite gravimetry mission for China, because of the capability to collect gravity data globally. However, the analysis of potential contributions to geosciences from GRACE‐FO coupling with the Chinese future gravimetry mission is still limited. This study combines GRACE‐FO and Chinese future gravimetry missions as the Dual GRACE‐like Polar satellite Constellation (DGPC). By carefully choosing the initial orbit parameters of the Chinese future gravimetry mission with the differential evolution algorithm, the DGPC is expected to mitigate the temporal aliasing effects by improving the temporal resolution of time‐variable gravity solutions (i.e., 1‐day and 3‐day solutions). Regarding the spectral‐domain evaluation, zonal, tesseral, and sectorial coefficients estimated by the DGPC show approximately 6.01%–13.42% noise reductions compared with GRACE‐FO. Regarding the spatial‐domain evaluation, the DGPC can suppress noises of about 39.44% and 31.12% in annual amplitude and long‐term trend, respectively. On this basis, this paper analyzes the effectiveness of the DGPC in potential contributions to geosciences (e.g., hydrology, glaciology, and seismology). Specifically, the DGPC can improve accuracy by about 36.96%, 25.85%, and 33.16% with respect to GRACE‐FO for signals in the subhumid basin, signals of ice‐sheet mass balance over Greenland, and coseismic displacement of the fault zone, respectively. In general, the potential capability for high‐frequency signals recovery of the DGPC would facilitate contributions of satellite gravimetry to geosciences.

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“…Iran Pour et al. (2019) adopted the genetic algorithm to explore the effects of different error sources on search optimization orbital parameters under the Bender formation. Deccia et al.…”

Section: Determine the Optimal Initial Orbit Parameters Of The Chines...mentioning

confidence: 99%

The Temporal Improvement of Earth's Mass Transport Estimated by Coupling GRACE‐FO With a Chinese Polar Gravity Satellite Mission

Yan,

Ran,

Xiao

et al. 2023

JGR Solid Earth

View full text Add to dashboard Cite

show abstract

“…The same is done for the companion satellite, and the combined differential nongravitational linear acceleration measurement can be computed as in Table 5 (bottom) according to the logic presented in Figure 9. The noise floor of the differential nongravitational acceleration can be decreased to some extent by optimizing the instrument, allowing for a better exploitation of the laser ranging instrument in the millihertz region, where the accelerometer accuracy is the limiting factor [28,29]. The new generation of MicroSTAR-class accelerometers, under development at ONERA [45], is a promising candidate for NGGM.…”

Section: Accelerometer Selection and Drag Compensation Assessmentmentioning

confidence: 99%

“…ranging instrument in the millihertz region, where the accelerometer ac iting factor [28,29]. The new generation of MicroSTAR-class accelerome opment at ONERA [45], is a promising candidate for NGGM.…”

Section: Accelerometer Selection and Drag Compensation Assessmentmentioning

confidence: 99%

“…For individual satellite pairs, we could use the Nyquist-type rule introduced in [26] or its revised version presented in [27]. For a Bender constellation, [28] proposed to use a genetic algorithm. All these approaches have the drawback that they optimize the orbits for a single temporal resolution, whereas multiple temporal resolutions are required to serve the needs of all users [28,29].…”

Section: Introductionmentioning

confidence: 99%

“…For a Bender constellation, [28] proposed to use a genetic algorithm. All these approaches have the drawback that they optimize the orbits for a single temporal resolution, whereas multiple temporal resolutions are required to serve the needs of all users [28,29]. For this reason, a new orbit selection approach that aims at optimizing the spatial sampling of the Bender constellation for multiple temporal resolutions [30] was developed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Next Generation Gravity Mission Elements of the Mass Change and Geoscience International Constellation: From Orbit Selection to Instrument and Mission Design

et al. 2021

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ESA’s Next Generation Gravity Mission (NGGM) is a candidate Mission of Opportunity for ESA–NASA cooperation in the frame of the Mass Change and Geosciences International Constellation (MAGIC). The mission aims at enabling long-term monitoring of the temporal variations of Earth’s gravity field at relatively high temporal (down to 3 days) and increased spatial resolutions (up to 100 km) at longer time intervals. This implies also that time series of GRACE and GRACE-FO can be extended towards a climate series. Such variations carry information about mass change induced by the water cycle and the related mass exchange among atmosphere, oceans, cryosphere, land and solid Earth and will complete our picture of global and climate change. The main observable is the variation of the distance between two satellites measured by a ranging instrument. This is complemented by accelerometers that measure the nongravitational accelerations, which need to be reduced from ranging measurements to obtain the gravity signal. The preferred satellite constellation comprises one satellite pair in a near-polar and another in an inclined circular orbit. The paper focuses on the orbit selection methods for optimizing the spatial sampling for multiple temporal resolutions and then on the methodology for deriving the engineering requirements for the space segment, together with a discussion on the main mission parameters.

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Orbit Optimization for Future Satellite Gravity Field Missions: Influence of the Time Variable Gravity Field Models in a Genetic Algorithm Approach

Cited by 2 publications

References 13 publications

The Temporal Improvement of Earth's Mass Transport Estimated by Coupling GRACE‐FO With a Chinese Polar Gravity Satellite Mission

The Temporal Improvement of Earth's Mass Transport Estimated by Coupling GRACE‐FO With a Chinese Polar Gravity Satellite Mission

Next Generation Gravity Mission Elements of the Mass Change and Geoscience International Constellation: From Orbit Selection to Instrument and Mission Design

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