latest developments in lunar gravity field recovery within

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WWW.IWF.OEAW.AC.AT LATEST DEVELOPMENTS IN LUNAR GRAVITY FIELD RECOVERY WITHIN THE PROJECT GRAZIL S. Krauss 1 , H. Wirnsberger 1 , B. Klinger 2 , T. Mayr-Gürr 2 , O. Baur 1,3 1 Space Research Institute/ÖAW, Austria; 2 Institute of Geodesy/TU Graz, Austria; 3 now at Airbus Defense and Space GmbH, Germany The project GRAZIL addresses the highly accurate recovery of the lunar gravity field using inter-satellite Ka-band ranging (KBR) measurements collected by Gravity Recovery And Interior Laboratory (GRAIL) mission. Dynamic precise orbit determination is an indispensable task in order to recover the lunar gravity field. The concept of variational equations is adopted to determine the orbit of the two GRAIL satellites. As far as lunar gravity field recovery is concerned, we apply an integral equation approach using short orbital arcs. We present the latest developments within the project GRAZIL. Results are validated against GRAIL products released by other institutions. RESULTS AND MODEL EVALUATION External solutions JPL lunar gravity field model (GL660B) NASA-GSFC lunar gravity field model (GRGM660PRIM) AIUB lunar gravity field model (AIUB-GRL200b) Validation types Free-air gravity anomalies REFERENCES 2016 IWF/ÖAW, GRAZ, AUSTRIA, [email protected] METHODS OVERVIEW Orbit determination (OD) of GRAIL-A and GRAIL-B Based on variational equations Consistent force modeling DSN radio science data (S-band, X-band) Allows for a fully independent solution Gravity filed recovery (GFR) Based on short-arc approach [7] Ka-band ranging data (primary mission) Heritage of the gravity field mission GRACE To avoid spectral aliasing, short wavelength signals are reduced from the KBR data using the GL0660B lunar gravity model Lunar gravity field recovery is a huge computational challenge High performance computer clustering at the IWF 32 independent computer nodes (40 cores each) 128 GB RAM per node (4 TB in total) ORBIT CHARACTERISTICS Altitude ~55 km (± 35km) Inclination 89.9° (w.r.t. lunar equator) Revolution period 113 minutes Separation distance 82-218 km FORCE MODEL AND PARAMETRIZATION NON CONSERVATIVE FORCE MODEL Satellite plate macro model [2] Modeled accelerations acting on GRAIL-A between low and high solar angle phase Force modeling 3 rd body accelerations Solid Moon tides Relativistic accelerations Solar radiation pressure Albedo Emissivity Arc-length OD: 1.25 days GFR: 70 minutes Satellite design 28-plate macro model Empirical parameters 4x / rev. (along, cross) Time bias ORBIT RESIDUALS Level1b position and velocity used as pseudo-observations Implementation of DSN Doppler tracking data is presently under development Macro model not applied, scale factor estimated GRAIL-A orbit residuals to Level1b data (GNI1b release04) RMS values of post-fit residuals show the importance of appropriate non conservative force modeling Degree variances Orbital altitude (left) and separation distance (right) between the GRAIL satellites during the primary mission phase. GrazLGM300c GL0660B - GrazLGM300c [mGal] [mGal] (1) Arnold, D., et al., 2015: Icarus, 261, 182-192. (2) Fahnestock, E.G., 2012: AIAA/AAS, Astrodyn. Specialist Conference. (3) Klinger, B. et al., 2014: Planet. Space Sci., 91, 83-90. (4) Konopliv, A.S. et al., 2014: Geophys. Res. Lett., 41, 1452-1458. (5) Krauss, S. et al., 2015: VGI Special Report, 103, 156-161. (6) Lemoine, F.G. et al., 2014: J. Geophys. Res. (Planets), 118, 1676-1698. (7) Mayer-Gürr, T., 2006: PhD Thesis, University of Bonn. We acknowledge the financial support for the project GRAZIL by the Austrian Research Promotion Agency (FFG).

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WW

W.I

WF.

OEAW

.AC.A

T LATEST DEVELOPMENTS IN LUNAR GRAVITY FIELD RECOVERY

WITHIN THE PROJECT GRAZIL

S. Krauss1, H. Wirnsberger1, B. Klinger2, T. Mayr-Gürr2, O. Baur1,3

1Space Research Institute/ÖAW, Austria; 2Institute of Geodesy/TU Graz, Austria; 3 now at Airbus Defense and Space GmbH, Germany

The project GRAZIL addresses the highly accurate recovery of thelunar gravity field using inter-satellite Ka-band ranging (KBR)measurements collected by Gravity Recovery And InteriorLaboratory (GRAIL) mission. Dynamic precise orbit determinationis an indispensable task in order to recover the lunar gravity field.The concept of variational equations is adopted to determine theorbit of the two GRAIL satellites. As far as lunar gravity fieldrecovery is concerned, we apply an integral equation approachusing short orbital arcs. We present the latest developmentswithin the project GRAZIL. Results are validated against GRAILproducts released by other institutions.

RESULTS AND MODEL EVALUATION

External solutions

• JPL lunar gravity field model (GL660B)

• NASA-GSFC lunar gravity field model (GRGM660PRIM)

• AIUB lunar gravity field model (AIUB-GRL200b)

Validation types

• Free-air gravity anomalies

REFERENCES

2016

IWF/Ö

AW

,G

RAZ,

AU

STRIA

, SAN

DRO

.KRAU

SS@

OEAW

.AC.A

T

METHODS OVERVIEW

Orbit determination (OD) of GRAIL-A and GRAIL-B

• Based on variational equations

• Consistent force modeling

• DSN radio science data (S-band, X-band)

• Allows for a fully independent solution

Gravity filed recovery (GFR)

• Based on short-arc approach [7]

• Ka-band ranging data (primary mission)

• Heritage of the gravity field mission GRACE

To avoid spectral aliasing, short wavelength signals are reduced from the KBR data using the GL0660B lunar gravity model

Lunar gravity field recovery is a huge computational challenge

High performance computer clustering at the IWF

• 32 independent computer nodes (40 cores each)

• 128 GB RAM per node (4 TB in total)

ORBIT CHARACTERISTICS

Altitude

• ~55 km (± 35km)

Inclination

• 89.9° (w.r.t. lunar equator)

Revolution period

• 113 minutes

Separation distance

• 82-218 km

FORCE MODEL AND PARAMETRIZATION

NON CONSERVATIVE FORCE MODEL

Satellite plate macro model [2]

Modeled accelerations acting on GRAIL-A between low andhigh solar angle phase

Force modeling

• 3rd body accelerations

• Solid Moon tides

• Relativistic accelerations

• Solar radiation pressure

• Albedo

• Emissivity

Arc-length

• OD: 1.25 days

• GFR: 70 minutes

Satellite design

• 28-plate macro model

Empirical parameters

• 4x / rev. (along, cross)

Time bias

ORBIT RESIDUALS

Level1b position and velocity used as pseudo-observations

Implementation of DSN Doppler tracking data is presentlyunder development

Macro model not applied, scale factor estimated

GRAIL-A orbit residuals to Level1b data (GNI1b release04)

RMS values of post-fit residuals show the importanceof appropriate non conservative force modeling

• Degree variances

Orbital altitude (left) and separation distance (right) betweenthe GRAIL satellites during the primary mission phase.

GrazLGM300c GL0660B - GrazLGM300c

[mGal] [mGal]

(1) Arnold, D., et al., 2015: Icarus, 261, 182-192.(2) Fahnestock, E.G., 2012: AIAA/AAS, Astrodyn. Specialist Conference.(3) Klinger, B. et al., 2014: Planet. Space Sci., 91, 83-90.(4) Konopliv, A.S. et al., 2014: Geophys. Res. Lett., 41, 1452-1458.(5) Krauss, S. et al., 2015: VGI Special Report, 103, 156-161.(6) Lemoine, F.G. et al., 2014: J. Geophys. Res. (Planets), 118, 1676-1698.(7) Mayer-Gürr, T., 2006: PhD Thesis, University of Bonn.

We acknowledge the financial support for the project GRAZILby the Austrian Research Promotion Agency (FFG).