Abstract
The Bender-type constellation has become a feasible option of the next-generation gravimetric mission (NGGM) for improving the quality of temporal gravity field solutions. In the context of Bender-type NGGM, the payload requirement is limited to approximately 20 nm/Hz1/2 at the measurement bandwidth (MBW) of 0.01–1 Hz for laser ranging instrument (LRI), and 10–11 m/s2 at 0.001–0.1 Hz for accelerometer (ACC). Low-frequency noise is also, respectively, limited to 1/f and 1/f2 for LRI and ACCs due to unavoidable electronic noise. However, due to the complex payload manufacture procedures and volatile space observation environment, in reality, LRI or ACCs noise may not be rigorously consistent with the designed noise models in frequency domain. Frequency-dependent noise in in situ observations always results in different MBW boundaries or different low-frequency features. In this study, the potential impacts of this unaccounted frequency-dependent instrument noise are analyzed via various detailed simulations, and the conclusions are summarized as follows. (1) In the instrument noise only scenarios, a similar behavior is shown between the frequency spectrum of instrument’s frequency-dependent noise in terms of amplitude spectral density and the corresponding gravity solution in terms of geoid height error. (2) The ACC MBWs seriously affect the quality of gravity solution, while the impacts of low-frequency features (e.g., 1/f3/2 and 1/f2 behavior of LRI noise, 1/f5 and 1/f6 behavior of ACC noise) are quite minor. (3) Frequency-dependent instrument noise plays less role when the background force model errors are included, and significant improvement is observed when the atmospheric- and oceanic-induced aliasing error is excluded, indicating the necessity of accurate background force models as well as proper de-aliasing strategy. (4) In the full noise contaminated scenarios, to achieve the scientific goal of Bender-type NGGM, it is feasible to shift the low MBW boundary from 0.001 to 0.004 Hz for ACC, and from 0.01 to 0.1 Hz for LRI. The results are helpful to specify the requirement of manufacturing key payloads for the Bender-type NGGM.
Similar content being viewed by others
Data availability
The ESM AOHIS models used in this work are publicly available from the GFZ data services (https://doi.org/10.5880/GFZ.1.3.2014.001).
References
Abich K, Abramovici A, Amparan B, Baatzsch A, Okihiro BB, Barr DC et al (2019) In-orbit performance of the GRACE follow-on laser ranging interferometer. Phys Rev Lett 123:031101. https://doi.org/10.1103/PhysRevLett.123.031101
Abrykosov P, Pail R, Gruber T, Zahzam N, Bresson A, Hardy E, Christophe B, Bidel Y, Carraz O (2019) Impact of a novel hybrid accelerometer on satellite gravimetry performance. Adv Space Res 63:3235–3248. https://doi.org/10.1016/j.asr.2019.01.034
Bai YZ, Li ZX, Hu M, Liu L, Qu SB, Tan DY, Tu HB et al (2017) Research and development of electrostatic accelerometers for space science missions at HUST. Sensor 17:1943. https://doi.org/10.3390/s17091943
Cambiotti G, Douch K, Cesare S, Haagmans R, Sneeuw N, Anselmi A, Marotta AM, Sabadini R (2020) On earthquake detectability by the next-generation gravity mission. Surv Geophys. https://doi.org/10.1007/s10712-020-09603-7
Chen J, Cazenave A, Dahle C, Llovel W, Panet I, Pfeffer J, Moreira L (2022) Applications and challenges of GRACE and GRACE follow-on satellite gravimetry. Surv Geophys. https://doi.org/10.1007/s10712-021-09685-x
Christophe B, Foulon B, Liorzou F, Lebat V, Boulanger D, Huynh P-A, Zahzam N, Bidel Y, Bresson A (2018) Status of development of the future accelerometers for next generation gravity missions. In: International association of geodesy symposia. Springer, Berlin. https://doi.org/10.1007/1345_2018_42
Daras I, Pail R (2017) Treatment of temporal aliasing effects in the context of next generation satellite gravimetry missions. J Geophys Res Solid Earth. https://doi.org/10.1002/2017JB014250
Ditmar P, Klees R, Liu X (2007) Frequency-dependent data weighting in global gravity field modeling from satellite data contaminated by non-stationary noise. J Geodesy 81(1):81–96. https://doi.org/10.1007/s00190-006-0074-4
Dobslaw H, Bergmann I, Dill R, Forootan E, Klemann V, Kusche J, Sasgen I (2015) The updated ESA Earth system model for future gravity mission simulation studies. J Geodesy 89(5):505–513. https://doi.org/10.1007/s00190-014-0787-8
Elsaka B, Raimondo J-M, Brieden P, Reubelt T, Kusche J, Flechtner F et al (2014) Comparing seven candidate mission configurations for temporal gravity field retrieval through full-scale numerical simulation. J Geod 88:31–43. https://doi.org/10.1007/s00190-013-0665-9
Flechtner F, Neumayer K, Dahle C, Dobslaw H, Fagiolini E, Raimondo J, Güntner J (2016) What can be expected from the GRACE-FO laser ranging interferometer for earth science applications? Surv Geophys 37:453–470. https://doi.org/10.1007/s10712-015-9338-y
Flechtner F, the GRACE-I Team (2020) Realization of a satellite mission “GRACE-I” for parallel observation of changing global water resources and biodiversity. GRACE/GRACE-FO Science Team Meeting 2020, online, GSTM2020-6. https://doi.org/10.5194/gstm2020-6
Guo X, Zhao Q, Ditmar P, Sun Y, Liu J (2018) Improvements in the monthly gravity field solutions through modeling the colored noise in the GRACE data. J Geophys Res Solid Earth 123(8):7040–7054
Hauk M, Pail R (2019) Gravity field recovery using high-precision, high-low inter-satellite links. Remote Sens 11(5):537. https://doi.org/10.3390/rs11050537
Iran Pour S, Reubelt T, Sneeuw N, Daras I, Murbock M, Gruber T, et al (2015) Assessment of satellite constellations for monitoring the variations in earth gravity field “SC4MGV”
Kim J (2000) Simulation study of a low-low satellite-to-satellite tracking mission. Ph.D. thesis, The University of Texas at Austin
Klinger B, Mayer-Gürr T (2016) The role of accelerometer data calibration within GRACE gravity field recovery: results from ITSG-Grace2016. Adv Space Res 58(9):1597–1609. https://doi.org/10.1016/j.asr.2016.08.007
Kornfeld RP, Arnold BW, Gross MA, Dahya NT, Klipstein WM (2019) GRACE-FO: the gravity recovery and climate experiment follow-on mission. J Spacecr Rocket 56(3):931–951. https://doi.org/10.2514/1.A34326
Liu W, Sneeuw N (2021) Aliasing of ocean tides in satellite gravimetry: a two-step mechanism. J Geod 95(12):134. https://doi.org/10.1007/s00190-021-01586-6
Loomis BD, Nerem RS, Luthcke SB (2012) Simulation study of a follow-on gravity mission to GRACE. J Geod 86:319–335. https://doi.org/10.1007/s00190-011-0521-8
Luo J, Chen LS, Duan HZ, Gong YG, Hu SC, Ji JH et al (2016) TianQin: a space-borne gravitational wave detector. Class Quantum Gravity 63(3):035010. https://doi.org/10.1088/0264-9381/33/3/035010
Luo J, Bai YZ, Cai L, Cao B, Chen WM, Chen Y et al (2020) The first round result from the TianQin-1 satellite. Class Quantum Gravity 37:185013. https://doi.org/10.1088/1361-6382/aba66a
Mei J, Bai YZ, Bao JH, Barausse E, Cai L, Canuto E et al (2020) The TianQin project: current progress on science and technology. Prog Theor Exp Phys. https://doi.org/10.1093/ptep/ptaa114
Migliaccio F, Reguzzoni M, Batsukh K, Tinno GM, Rosi G, Sorrentino F et al (2019) MOCASS: a satellite mission concept using cold atom interferometry for measuring the earth gravity field. Surv Geophys 40:1029–1053. https://doi.org/10.1007/s10712-019-09566-4
Müller J, Wu H (2020) Using quantum optical sensors for determining the Earth’s gravity field from space. J Geod 94:71. https://doi.org/10.1007/s00190-020-01401-8
NGGM-D Team (2014) E2.motion earth system mass transport mission (square)— concept for a next generation gravity field mission. Deutsche Geoda ̈tische Kommission der Bayerischen Akademie der Wissenschaften, Reihe B, Angewandte Geoda ̈sie, Heft Nr. 318. ISBN 978-3-7696-8597-8
Nie Y, Shen Y, Pail R, Chen Q, Xiao Y (2022) revisiting force model error modeling in GRACE gravity field recovery. Surv Geophys 43:1169–1199. https://doi.org/10.1007/s10712-022-09701-8
Pail R, Bingham R, Braitenberg C, Dobslaw H, Eicker A, Güntner A et al (2015) Science and user needs for observing global mass transport to understand global change and to benefit society. Surv Geophys 36(6):743–772. https://doi.org/10.1007/s10712-015-9348-9
Pail R, Gruber T, Fecher T, GOCO Project Team (2016) The combined gravity model GOCO05c. GFZ Data Serv. https://doi.org/10.5880/icgem.2016.003
Pail R, Yeh H-C, Feng W, Hauk M, Purkhauser A, Wang C et al (2019) Next-generation gravity missions: Sino-European numerical simulation comparison exercise. Remote Sens 11:2654. https://doi.org/10.3390/rs11222654
Pierce R, Leitch J, Stephens M, Bender P, Nerem R (2008) Intersatellite range monitoring using optical interferometry. Appl Opt 47(20):5007–5018. https://doi.org/10.1364/AO.47.005007
Purkhauser AF, Siemes C, Pail R (2020) Consistent quantification of the impact of key mission design parameters on the performance of next-generation gravity missions. Geophys J Int 221:1190–1210. https://doi.org/10.1093/gji/ggaa070
Rees ER, Wade AR, Sutton AH, Spero RE, Shaddock DA, Mckenzie K (2021) Absolute frequency readout derived from ULE cavity for next generation geodesy missions. Opt Express 29(16):26014
Reigber C, Schwintzer P, Luhr H (1999) The CHAMP geopotential mission, Bollettino di Geofisica Teoretica ed Applicata, 40/3–4, September–December 1999. In: Marson I, Sunkel H (eds) Proceedings of the second joint meeting of the International Gravity and the International Geoid Commission, pp 285–289, Trieste 1998 September 7–12. ISSN 0006-6729
Rummel R, Yi W, Stummer C (2011) GOCE gravitational gradiometry. J Geod 85(11):777–790
Savcenko R, Bosch W (2011) EOT11a—a new tide model from multi-mission altimetry, OSTST meeting, San Diego, 19–21 October, 2011
Schumaker BL (2003) Disturbance reduction requirements for LISA. Class Quantum Gravity 20:S239–S253
Sheard BS, Heinzel G, Danzmann K, Shaddock DA, Klipstein WM, Folkner WM (2012) Intersatellite laser ranging instrument for the GRACE follow-on mission. J Geod 86(12):1083–1095. https://doi.org/10.1007/s00190-012-0566-3
Siemes C (2008) Digital filtering algorithms for decorrelation within large least square problems. Bonn: Rheinische Friedrich-Wilhelms-Universita ̈t, Hohe Landwirtschaftliche Fakulta ̈t, Dissertation
Sneeuw N (2000) A semi-analytical approach to gravity field analysis from satellite observations. Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften, München
Sneew N, Iran Pour S, ESA-SC4MGV Study Team (2016) ESA SC4MGV study: assessment of satellite constellations for monitoring the variations in earth gravity field. In: Living planet symposium 2016
Tapley BD, Bettadpur S, Ries JC, Thompson PF, Watkins MM (2004) GRACE measurements of mass variability in the Earth system. Science 305(5683):503–505. https://doi.org/10.1126/science.1099192
Touboul P, Foulon B, Christophe B, Marque JP (2012) CHAMP, GRACE, GOCE instruments and beyond. In: Kenyon S, Pacino M, Marti U (eds) Geodesy for planet earth. Springer, Berlin, pp 215–221
Wegener H, Muller V, Heinzel G, Misfeldt M (2020) Tilt-to-length coupling in the GRACE follow-on laser ranging interferometer. J Spacecr Rockets. https://doi.org/10.2514/1.A34790
Wiese DN, Visser P, Nerem RS (2011) Estimating low resolution gravity fields at short time intervals to reduce temporal aliasing errors. Adv Space Res 48:1094–1107. https://doi.org/10.1016/j.asr.2011.05.027
Zhou H, Luo Z, Wu Y, Li Q, Xu C (2016) Impact of geophysical model error for recovering temporal gravity field model. J Appl Geophys 130:177–185. https://doi.org/10.1016/j.jappgeo.2016.04.004
Zhou H, Zhou Z, Luo Z (2019) A new hybrid processing strategy to improve temporal gravity field solution. J Geophys Res Solid Earth 124(8):9415–9432. https://doi.org/10.1029/2019JB017752
Zhou H, Zhou Z, Luo Z, Wang K, Wei M (2020) What can be expected from GNSS tracking of satellite constellations for temporal gravity field model determination? Geophys J Int 222:661–677. https://doi.org/10.1093/gji/ggaa177
Zhou H, Luo Z, Zhou Z, Yang F, Pail R, Tu L, Yeh H-C, Yang S (2021) What can we expect from the inclined satellite formation for temporal gravity field determination? Surv Geophys 42:699–726. https://doi.org/10.1007/s10712-021-09641-9
Acknowledgements
This research was funded by the National Natural Science Foundation of China (Nos. 41931074, 42074018, 42061134007, 41704012), the National Key Research and Development Program of China (Nos. 2018YFC1503503, 2018YFC1503504) and the Fundamental Research Funds for the Central Universities (No. 2019kfyXJJ). The authors would like to thank Ms. Lu Tang for her suggestive advices and numerical simulation support during revising our manuscript. The authors would like to thank Dr. Natthachet Tangdamrongsub for the kind help to improve our manuscript. We thank the AE and reviewers for their constructive suggestions, which greatly helped to improve our manuscript.
Author information
Authors and Affiliations
Contributions
HZ, DT and HD proposed the idea of the manuscript. HZ designed the experiments, conducted the simulation study and wrote the paper. LT designed the experiments and conducted the simulation study during revision. DT and HD contributed to design the noise model of accelerometer and laser ranging interferometer. RP contributed the design of manuscript structure and extended the noise models of key payloads. ZL and ZZ contributed the theoretical foundation and technical understanding. LT, DT, HD, RP, ZL and ZZ reviewed the final manuscript.
Corresponding author
Appendix A. Reliability of simulation strategy
Appendix A. Reliability of simulation strategy
To assess the reliability of our simulation strategy, several tests are performed in this section. During the simulation, only the noise model ‘Case L1’ is considered, and the background model errors, accelerometer and orbit noise are not taken into account. Firstly, the gravity field solutions are estimated by setting different arc lengths and number of iterations. As shown in Fig.
21, although using different arc lengths, the results after 2 iterations present very similar performance in terms of geoid height per degree. It demonstrates the minor impact of setting different arc lengths with 2 iterations. Meanwhile, when the arc length is 6 h, the result of the second iteration is closest to that of the first iteration. Therefore, to improve the simulation efficiency, the arc length is set to 6 h and the number of iterations is set to 2 in our study.
During processing real GRACE data, the true initial state vectors are not known. To make our simulation as close as possible to the real observation environment, we also considered errors in initial state vector. During the simulation, the noise model ‘Nominal-B’ is considered, and APP-I is applied to simulate the non-tidal atmosphere and ocean aliasing error. As shown in Fig.
22, there are very minor differences between the solutions determined with or without initial state vector errors.
Finally, we make a comparison with Flechtner et al. (2016), who implemented a comprehensive simulation by taking into account background force model errors and frequency-dependent instrument noise of laser ranging interferometer (LRI) and microwave instrument (MWI) in the context of GRACE-type mission. During the comparison, we set the simulation environment as close as possible to Flechtner et al. (2016). During the simulation, only the observations of polar pair satellites are considered, and the noise model ‘GRACE-B’ is applied. APP-I is applied to simulate the non-tidal atmosphere and ocean aliasing error. As shown in Fig.
23, the result in terms of EWH errors per degree is similar to Fig. 4 of Flechtner et al. (2016). It demonstrates the comparable outcome of our simulation strategy with Flechtner et al. (2016).
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Zhou, H., Tang, L., Tan, D. et al. Impacts of frequency-dependent instrument noise for next-generation gravimetric mission on determining temporal gravity field model. J Geod 97, 23 (2023). https://doi.org/10.1007/s00190-023-01716-2
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00190-023-01716-2