Presentation on theme: "Improvements To Solar Radiation Pressure Modeling For Jason-2 Nikita P. Zelensky 2,1, Frank G. Lemoine 1, Stavros Melachroinos 2,1, Despina Pavlis 2,1,"— Presentation transcript:
Improvements To Solar Radiation Pressure Modeling For Jason-2 Nikita P. Zelensky 2,1, Frank G. Lemoine 1, Stavros Melachroinos 2,1, Despina Pavlis 2,1, Douglas S. Chinn 2,1, Oleg Bordyugov 2,1 (1) Planetary Geodynamics Laboratory, Code 698, NASA Goddard Space Flight Center; Greenbelt, MD, USA (2) SGT Inc.,Greenbelt, MD ABSTRACT Jason-2 (OSTM, Ocean Surface Topography Mission) is the follow-on to the Jason-1 and TOPEX/Poseidon radar altimetry missions observing the sea surface. The computed orbit is used to reference the altimeter measurement to the center of the Earth, and thus the accuracy and stability of the orbit are critical to the sea surface observation accuracy. A 1-cm Jason-2 radial orbit accuracy goal is required for meeting the 2.5 cm altimeter measurement goal. Also mean sea level change estimated from altimetry requires orbit stability to well below 1 mm/yr. Although 1-cm orbits have been achieved, unresolved large draconitic period error signatures remain and are believed to be due to mis-modeling of the solar radiation pressure (SRP) forces acting on the satellite. Such error may easily affect the altimeter data, and can alias into any number of estimated geodetic quantities. Precision orbit determination (POD) at GSFC and other analysis centers employs an 8-panel “macromodel” representation of the satellite geometry and optical properties to model SRP. Telemetered attitude and modeled solar array pitch angles (SAPA) are used to orient the macromodel. Several possible improvements to SRP modeling are evaluated and include: 1) using telemetered SAPA values, 2) using the SRP model developed at UCL for the very similar Jason-1, 3) re-tuning the macromodel, 4) modifying POD strategy to estimate a coefficient of reflectivity (C R ) for every arc, or else using the reduced-dynamic approach. Improvements to POD modeling are evaluated through analysis of tracking data residuals, estimated empirical accelerations, and orbit differences. AGU Fall 2011 Meeting San Francisco Satellite Orbits and Attitude: Attacking the Error Budgets ( G41B-0739) Contacts: Nikita Zelensky Frank Lemoine Radiation pressure acting on Jason-2 Forces due to radiation pressure include direct solar radiation, Earth Albedo and infra-red re-radiation (IR), and the effects of thermal radiation imbalance. Thermal radiation represents effects of heating/cooling of the satellite while in sunlight/shadow, and internal heat dissipation. Table 1 shows the relative magnitude of the effect from such forces on Jason-2. The difficulty in modeling such forces is due to the complex satellite geometry and incomplete knowledge of the reflective and thermal properties of the satellite surfaces. Various portions of the satellite are illuminated by the sun depending on the attitude regime (Table 2) and B’ angle (angle between orbit plane and sun vector – see below). The B’ or draconic period is 118 days for Jason-2. The models considered for this study are listed in Table 4. How is the current modeling deficient? SLR residuals from the least accurate modeling, g916 (Table 5 above), do not show any obvious patterns in the B’ x orbit angle plot below. However the SLR points when so displayed show some deficiency in coverage in very high/low B’ regions. Compared to the most accurate jpl11a orbits, the crossover residuals suggest the macromodel is most deficient in the high/low B’ regions. C R estimates suggest the model is under-reflecting light in these regions. Macromodel parameters selected for tuning should be most effective in these regions. Conclusions 1) Jason-2 Radiation force modeling has shown improvement using a tuned macromodel which includes an SA thermal component (t2_g_th), and by simply re-tuning the C R to ) Although the Jason-2 orbits meet or are close to the radial 1-cm goal set by altimeter analysis requirements, significant error remains at the 118- day draconic period. 3) The inability of the best models to further reduce the substantial orbit error suggests a deficiency in the macromodel sophistication, and not inadequate observability over certain regions, as PCE orbit data were included in the tuning. 4) Analysis will continue to improve Jason-2 radiation pressure modeling. Outstanding issues include: 1) use of telemetered solar array pointing angles (in progress) 2) self – shadowing 3) Jason-2 thermal emission Table 2. Jason-2 attitude regime Yaw modeB’ regiondescription sinusoidalB’ > |15 ° |Yaw = cos (orbit angle) scaled by B’ fixed lowB’ < |15 ° |Yaw =0° +B’ Yaw =180° -B’ fixed highB’ > |80 ° |Yaw =+90° +B’ Yaw =-90° -B’ ramp upB’ => |15 ° | increase Yaw fixed to sinusoidal transition (90 seconds) ramp downB’ =< |15 ° | decrease Yaw sinusoidal to fixed transition (90 seconds) flipB’ crosses 0°Yaw =0° +B’ (10 minutes) Yaw =180° -B’ (10 minutes) Table 1. radiation forces acting on Jason-2 acting force over cycle 1, in sinusoidal yaw, B’ : -35° to -45° total RMS acceleration (10 -9 m/s 2 ) macromodel pretuned (g_th) macromodel tuned (t2_g_th) Solar radiation pressure Albedo + IR Thermal imbalance SA Table 4. Jason2 satellite radiation pressure models considered macromodel: Jason1 8 plates oriented to approximate the geometry and the optical reflective properties (CNES 2008). Two representations are considered, one using the geometric surface area and a-priori values, and the other using the optical area (geometric area scaled by the sum of the specular+diffuse+absorbed reflectivity coefficients) and values tuned by CNES (CNES 2008). ucl : developed for Jason1 using a finite element approach and includes the effects of self-shadowing and solar array (SA) thermal imbalance (Ziebart 2004) thermal SA+ : solar array panel facing sun thermal imbalance developed for TOPEX/Poseidon (Marshall et al., 1992, Luthcke et al., 1992) C R : coefficient of reflectivity scale for total effect of radiation pressure model. Jason-2 radiation pressure orbit error Spectral analysis of radial differences between the jpl11a and g916 orbits sampled at fixed geographic locations show the most power at the draconic 118- day period, and indicate error due to radiation pressure. This error is thought to largely reside in the g916 orbits, as the jpl11a orbits are considered to be the most accurate. The 118-day amplitude projected geographically shows 9-12 mm signals in the North Atlantic and Pacific waters near Australia. Table 5. Orbit description and tests orbitdescriptionCRCR RMS residuals cycles DORIS (mm/s) SLR (cm) Xover (cm) g916std1007 standards (geometric area pre-tuned macromodel, SLR + DORIS dynamic, C R = 0.916) g945std1007, C R = g945_rdstd1007, C R = 0.945, reduced-dynamic g_crarcstd1007, estimate C R in orbit solution / arcest uclstd1007, Jason-1 UCL model g_thstd1007, TOPEX Solar Array +face thermal model ostd1007, optical area pre-tuned macromodel o_thas o, TOPEX Solar Array +face thermal model jpl11aJPL GPS RLSE11a orbit, considered the most accurate t1_gas g945, macromodel tuned using SLR+DORIS t1_g_thas g_th, macromodel tuned using SLR+DORIS t2_g_thas g_th,, macromodel tuned using SLR+DORIS, plus jpl11a orbit positions every minute (pce data) A series of 11 SLR/DORIS POD tests were performed and are compared to the jpl11a (Table 5). For these tests the macromodel was tuned with and without the SA+ thermal component (Table 6). This model was tuned including jpl11a PCE data (t2_g_th) which are highly precise orbit positions. In a separate POD test over 112 cycles the use of such data improves the crossover residuals from cm (SLR/DORIS) to cm (PCE). The tests show that compared to g916 (GSFC std1007) the t2_g_th macromodel performs best and just tuning the C R to is almost as good. The best POD improvement is for the reduced-dynamic (g945_rd). In addition to residual fits, the improvements are seen by a reduction in the estimated empirical acceleration amplitudes and better agreement with the jpl11a orbits. The remaining excursions in the empirical accelerations occur at ramp times, and are likely due to the inability of the external attitude, sampled at about 30 seconds, to account for the rapid 90-second transition. No improvement is seen for g_crarc as the SLR/DORIS C R estimate is highly correlated with the empirical parameters. Radiation pressure model test Results References CNES, website page 2008, Luthcke SB, and Marshall JA, Nonconservative force model parameter estimation strategy for TOPEX/Poseidon precision orbit determination, NASA Technical Memorandum , November Marshall JA, Luthcke SB, Antreasian PG, Rosborough GW, Modeling radiation forces acting on TOPEX/Poseidon for precision orbit determination, NASA Technical Memorandum , June Ziebart M, Generalized analytical solar radiation pressure modeling algorithm for spacecraft of complex shape, J. Spacecraft Rockets 41 (5), , Zelensky NP, Lemoine FG, Ziebart M, et al., DORIS/SLR POD modeling improvements for Jason-1 and Jason-2, Advances in Space Research 46 (2010) Radiation pressure model tuning considerations absolute value SLR residuals (mm)number SLR points B’ by orbit angle 5°x5° gridded values cycles 1-84 Table 6. Acknowledgements: We acknowledge the NASA Physical Oceanography program and the MEaSURE's project for their support, as well as the International Laser Ranging Service (ILRS), the International DORIS Service (IDS), and the International GNSS Service for their continued support.