Radiation pressure acting on Jason-2. Radiation pressure model test Results. Jason-2 radiation pressure orbit error. Conclusions. Improvements To Solar Radiation Pressure Modeling For Jason-2.
Radiation pressure acting on Jason-2
Radiation pressure model test Results
Jason-2 radiation pressure orbit error
Improvements To Solar Radiation Pressure Modeling For Jason-2
Nikita P. Zelensky2,1, Frank G. Lemoine 1, Stavros Melachroinos2,1, 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
AGU Fall 2011 Meeting
Satellite Orbits and Attitude: Attacking the Error Budgets (G41B-0739)
Nikita Zelensky firstname.lastname@example.org
Frank Lemoine Frank.G.Lemoine@nasa.gov
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 (CR) 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.
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 5.479 cm (SLR/DORIS) to 5.425 cm (PCE). The tests show that compared to g916 (GSFC std1007) the t2_g_th macromodel performs best and just tuning the CR to 0.945 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 CR estimate is highly correlated with the empirical parameters.
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.
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.
Radiation pressure model tuning considerations
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. CR estimates suggest the model is under-reflecting light in these regions. Macromodel parameters selected for tuning should be most effective in these regions.
B’ by orbit angle 5°x5° gridded values cycles 1-84
absolute value SLR residuals (mm)
number SLR points
CNES, website page 2008, http://www.aviso.oceanobs.com/en/calval/orbit/precise-orbit-determination-verification/index.html#c6061
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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) 1541-1558.
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.