The Benefit of Accelerometers Based on Cold Atom Interferometry for Future Satellite Gravity Missions
Author:
Knabe AnnikeORCID, Schilling ManuelORCID, Wu HuORCID, HosseiniArani AlirezaORCID, Müller JürgenORCID, Beaufils Quentin, Pereira dos Santos FranckORCID
Abstract
AbstractSatellite gravity missions, like GRACE and GRACE Follow-On, successfully map the Earth’s gravity field and its change over time. With the addition of the laser ranging interferometer (LRI) to GRACE-FO, a significant improvement over GRACE for inter-satellite ranging was achieved. One of the limiting factors is the accelerometer for measuring the non-gravitational forces acting on the satellite. The classical electrostatic accelerometers are affected by a drift at low frequencies. This drawback can be counterbalanced by adding an accelerometer based on cold atom interferometry (CAI) due to its high long-term stability. The CAI concept has already been successfully demonstrated in ground experiments and is expected to show an even higher sensitivity in space.In order to investigate the potential of the CAI concept for future satellite gravity missions, a closed-loop simulation is performed in the context of GRACE-FO like missions. The sensitivity of the CAI accelerometer is estimated based on state-of-the-art ground sensors and predictions for space applications. The sensor performance is tested for different scenarios and the benefits to the gravity field solutions are quantitatively evaluated. It is shown that a classical accelerometer aided by CAI technology improves the results of the gravity field recovery especially in reducing the striping effects. The non-gravitational accelerations are modelled using a detailed surface model of a GRACE-like satellite body. This is required for a realistic determination of the variations of the non-gravitational accelerations during one interferometer cycle. It is demonstrated that the estimated error due to this variation is significant. We consider different orbit altitudes and also analyze the effect of drag compensation.
Publisher
Springer Berlin Heidelberg
Reference16 articles.
1. Abich K, Abramovici A, Amparan B, Baatzsch A, Okihiro BB, Barr DC, Bize MP, Bogan C, Braxmaier C, Burke MJ, Clark KC, Dahl C, Dahl K, Danzmann K, Davis MA, de Vine G, Dickson JA, Dubovitsky S, Eckardt A, Ester T, Barranco GF, Flatscher R, Flechtner F, Folkner WM, Francis S, Gilbert MS, Gilles F, Gohlke M, Grossard N, Guenther B, Hager P, Hauden J, Heine F, Heinzel G, Herding M, Hinz M, Howell J, Katsumura M, Kaufer M, Klipstein W, Koch A, Kruger M, Larsen K, Lebeda A, Lebeda A, Leikert T, Liebe CC, Liu J, Lobmeyer L, Mahrdt C, Mangoldt T, McKenzie K, Misfeldt M, Morton PR, Müller V, Murray AT, Nguyen DJ, Nicklaus K, Pierce R, Ravich JA, Reavis G, Reiche J, Sanjuan J, Schütze D, Seiter C, Shaddock D, Sheard B, Sileo M, Spero R, Spiers G, Stede G, Stephens M, Sutton A, Trinh J, Voss K, Wang D, Wang RT, Ware B, Wegener H, Windisch S, Woodruff C, Zender B, Zimmermann M (2019) In-orbit performance of the GRACE follow-on laser ranging interferometer. Phy Rev Lett 123(3):031101. https://doi.org/10.1103/PhysRevLett.123.031101 2. Abrykosov P, Pail R, Gruber T, Zahzam N, Bresson A, Hardy E, Christophe B, Bidel Y, Carraz O, Siemes C (2019) Impact of a novel hybrid accelerometer on satellite gravimetry performance. Adv Space Res 63(10):3235–3248. https://doi.org/10.1016/j.asr.2019.01.034 3. Canuto E, Molano A, Massotti L (2010) Drag-free control of the GOCE satellite: Noise and observer design. IEEE T Contr Syst T 18(2):501–509. https://doi.org/10.1109/TCST.2009.2020169 4. Dobslaw H, Bergmann-Wolf I, Dill R, Poropat L, Thomas M, Dahle C, Esselborn S, König R, Flechtner F (2017) A new high-resolution model of non-tidal atmosphere and ocean mass variability for de-aliasing of satellite gravity observations: AOD1B RL06. Geophys J Int 211(1):263–269. https://doi.org/10.1093/gji/ggx302 5. Foerste C, Bruinsma S, Abrykosov O, Lemoine JM, Marty JC, Flechtner F, Balmino F Gand Barthelmes, Biancale R (2014) EIGEN-6C4 The latest combined global gravity field model including GOCE data up to degree and order 2190 of GFZ Potsdam and GRGS Toulouse. GFZ data services 10. https://doi.org/10.5880/icgem.2015.1
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|