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3.2.1. Radiative force modelling.

Radiation force modeling requires three components: (1) modeling radiative flux from the Sun and to a lesser extent its re-radiation in the visible and infrared (IR) spectrum from the Earth; (2) modeling the geometry and orientation of the satellite; and (3) modeling the interaction between the satellite surfaces and this flux. In each area, especially (2) and (3), significant progress has been achieved.
3.2.1.1. Solar radiation pressure: Solar emissions are the dominant external radiative flux acting on the illuminated portions of the spacecraft. With the increased accuracy requirements for many geodetic/altimeter satellites, it has become necessary to have more accurate methods for modeling this force. While the net incident radiation reaching the satellite is well known, the characteristics of the satellite's surfaces (i.e. specular and diffuse reflectivity) and their time-dependent behavior has received considerably greater attention. The radiation modeling approaches adopted for T/P are described in Ries et al., [1993a] and Marshall and Luthcke, [1994a, 1994b] . Comparable models have been developed for GPS [ Fliegel et al., 1992; Bar-Sever et al., 1994]. Efforts are also advancing to improve the force modeling for ERS-1, SPOT-2, TDRSS, and other well tracked satellites using these approaches.

Even for the laser satellites, whose satellite forms are uncomplicated, proper treatment of the direct solar radiation pressure force as the satellite enters and exits the Earth's shadow is non-trivial [ Tapley et al., 1993]. A conical shadow model (containing both the umbra and penumbra) and the effects of lunar shadowing are important modeling considerations. Numerical integration treatments of the boundary properties of the forcing also present challenges [ Fuelner, 1990]. Rowlands et al., [1994 in press] have adopted a multi-rate numerical integration method which allows this type of force component to be sampled in greater detail while not requiring frequent evaluation of the whole force model within orbit integrations.
3.2.1.2. Planetary reradiation: Albedo/infrared: Albedo and infrared emissions from the Earth also provide radiative flux which acts on a spacecraft's exposed surfaces in a fashion similar to that of direct solar radiation pressure. This force is commonly evaluated by dividing the Earth into a grid and taking the vector sum of the spot-to-satellite accelerations. These models are presently quite simplistic and do not account for the large temporal variation due to the changing albedo of the Earth's land masses arising from snow and vegetative covering, and the distribution of clouds. Martin and Rubincam [1993] have performed a detailed calculation of the specular and diffuse albedo re-radiation based on measured global albedo time histories. They evaluated the net effect of more detailed modeling in order to assess the performance of the standard models adopted in most orbit determination codes [ Knocke et al., 1988; Borderies and Langaretti, 1990]. The Martin and Rubincam study indicated that while the time history of the albedo forcing is complex, when integrated over the Lageos orbit, it produces effects which are similar to that obtained with existing albedo models. The current approach which approximates the visible planetary surface integral by the summation of the contributions of a highly generalized gridded surface is still favored, but efforts continue to improve the temporal characterization of the Earth's reradiation.
3.2.1.3. Thermal imbalances: Accelerations arising from thermal gradients across the spacecraft surfaces must also be considered for precise orbit determination. A surface emits infrared radiation at levels proportional to the emissive properties of the material and to the fourth power of its temperature. The surface temperature varies according to its exposure to both external (i.e. solar radiation) and internal heat sources (i.e. electronics). Additionally, many spacecraft use both passive and active thermal control systems to regulate the temperature of the electronic components. Often this implies that heat is directionally expelled from the spacecraft, causing an acceleration. Modeling the spacecraft's overall thermal behavior is problematic given that the knowledge of the past history of each surface's temperature and exposure to heat sources is required. For example, duty cycles for onboard equipment are not generally systematic or easily predicted.

Thermal models of the spacecraft are normally computed as a part of the design process using finite element analysis software. Antreasian and Rosborough [1992] used this technique to develop a thermal imbalance force model history for the T/P spacecraft. However, this method is far too computationally intensive for nominal orbit determination methods. Therefore, Marshall and Luthcke [1994a] developed a simplified approach based upon the results of this finite element analysis. Unfortunately, this technique is satellite dependent and the results of the thermal finite element analysis are not typically available for orbit determination. Furthermore, it is difficult to realistically determine the temperature of a given surface on orbit from satellite tracking data.

One possible solution to this dilemma might be the incorporation of telemetered temperature data into the thermal model. This approach also has its drawbacks in that the temperature readings are only a measure of the local characteristics and may not be representative of the whole surface. Also, many of the measurements are taken internal to the spacecraft and therefore, do not play a direct role in the thermal model. Clearly this is a difficult problem and will require further study and innovative methodologies in the future.
3.2.1.4. Thermal modeling of Lageos-1: The ultra-stable orbit provided by Lageos-1 has allowed the study of orbital dynamics to unprecedented levels of accuracy. Given this satellite's spherical shape and high density coupled with the extensive global SLR data set which has been acquired since 1976, many previously unobservable dynamical effects have now been detected. It has been observed that even high altitude laser satellites like Lageos-1 (orbiting at nearly an Earth's radius in altitude) experience drag which decays their orbits at the sub-millimeter/day level. While this drag effect is small, the resulting orbital perturbations are clearly seen [ Rubincam, 1990]. The source of this drag has been extensively studied. A Yarkovsky thermal drag model for Lageos was first proposed by Rubincam [1987a, 1988]. It alone has been able to account for most of the average along track acceleration seen in Lageos' orbit evolution. The Yarkovsky thermal drag arises from the hemispheric temperature imbalance between the satellite's Earth facing and opposite hemispheres due to the heating characteristics of the retroreflectors by the Earth's reradiated IR. This effect coupled with that of neutral density and charged particle drag accounts for Lageos' overall orbital decay [ Rubincam, 1990].

The Yarkovsky-Schach photon thrust, which is induced by the Sun and the satellite's recoil during Earth's shadow passages, has been proposed to account for the large variations seen in Lageos' along track acceleration during eclipse seasons [ Afonso et al., 1989; Scharroo et al., 1991]. This effect is a function of Lageos' spin orientation. Direct heating from the sun produces ``summer'' and ``winter'' hemispheres on Lageos which introduces a thermal imbalance. This imbalance migrates slowly in time as the spin axis orientation changes.

Anisotropic reflectivity, which arises from the asymmetry in the satellite's reflectivity and Lageos' recoil during Earth shadow passages, has also been proposed [ Rubincam et al., 1987b]. This effect arises from the difference in optical properties of the two physical hemispheres of the satellite which were prepared separately and bolted together to form the Lageos sphere. Scharroo et al., [1991] estimated that the northern hemisphere of the satellite is 1.5% more reflective than the southern one to explain the satellite's behavior during eclipses. Ries et al., [1991] speculated that the non-symmetric distribution of the Germanium/infrared corner cubes may be a contributing factor. Analysis of Lageos-2 SLR data, which benefits from good knowledge of spin axis orientation, are generally confirming these models but no definitive explanation for the cause of the asymmetric reflectivity is yet available.

Since the modeling of these thermal effects depends in many cases on knowledge of Lageos' spin axis orientation, this too has received considerable study. Currie [1994] has used direct optical glint observations of the satellite to estimate both the spin rate and orientation of Lageos. Ries et al., [1993b] and Robbins et al., [1994] have attempted to use the observed orbit evolution to develop time histories of Lageos-1's spin orientation.

Recently, Mallama and Rubincam [1994] have made an assessment of whether the solar radiation pressure modeling for Lageos requires consideration of the absorption and refraction of the sunlight by the Earth's atmosphere. They also assessed if volcanic dust and aerosols, unevenly distributed within the atmosphere immediately after a major eruption, can cause a discernible effect.



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U.S. National Report to IUGG, 1991-1994
Rev. Geophys. Vol. 33 Suppl., © 1995 American Geophysical Union