Improved modelling of surface forces in the orbit determination of ERS and ENVISAT

被引:28
作者
Doornbos, E
Scharroo, R
Klinkrad, H
Zandbergen, R
Fritsche, B
机构
[1] Delft Univ Technol, Delft Inst Earth Oriented Space Res, NL-2629 HS Delft, Netherlands
[2] European Space Agcy, European Space Operat Ctr, D-64293 Darmstadt, Germany
[3] Hyperschall Technol Gottingen, D-37191 Katlenburg Lindau, Germany
关键词
D O I
10.5589/m02-055
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Precise orbit determination of the European remote sensing satellites ERS-2 and ENVISAT, a prerequisite for the processing of their altimeter data, requires highly accurate force models. Inaccuracies in the modelling of non-gravitational forces, caused by interaction of photons, molecules, and atoms with the spacecraft surfaces, form a major error source. A highly detailed new non-gravitational force modelling package named ANGARA was implemented and tested for ERS-2 and ENVISAT. The resulting orbits for ERS-2 were compared with those from an existing box-wing panel model and a simple constant-area model. In addition, the effects on orbit accuracy of three thermospheric density models (DTM94, MSIS-86, and NRLMSISE-00) and a horizontal wind model (HWM-93) were evaluated. Force model parameters, estimated from tracking data during the precise orbit determination process, absorb most of the differences between the considered models. At the same time, an analysis of these parameters, and orbit determination runs with a limited parameterization, can give important clues about modelling accuracy. Atmospheric density is the dominant error source at high solar activity, degrading the radial orbit accuracy. Radiation pressure forces, for which uncertainties in material properties are the largest error source, play an equally important role at low solar activity.
引用
收藏
页码:535 / 543
页数:9
相关论文
共 15 条
[1]  
BARLIER F, 1978, ANN GEOPHYS, V34, P9
[2]   Improvement of the empirical thermospheric model DTM: DTM94 - a comparative review of various temporal variations and prospects in space geodesy applications [J].
Berger, C ;
Biancale, R ;
Ill, M ;
Barlier, F .
JOURNAL OF GEODESY, 1998, 72 (03) :161-178
[3]  
FRITSCHE B, 1998, RAD PRESSURE FORCES
[4]   MSIS-86 THERMOSPHERIC MODEL [J].
HEDIN, AE .
JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 1987, 92 (A5) :4649-4662
[5]   Empirical wind model for the upper, middle and lower atmosphere [J].
Hedin, AE ;
Fleming, EL ;
Manson, AH ;
Schmidlin, FJ ;
Avery, SK ;
Clark, RR ;
Franke, SJ ;
Fraser, GJ ;
Tsuda, T ;
Vial, F ;
Vincent, RA .
JOURNAL OF ATMOSPHERIC AND TERRESTRIAL PHYSICS, 1996, 58 (13) :1421-1447
[6]  
LEMOINE FG, 2001, P 2001 FLIGH MECH S, P377
[7]  
MARCOS FA, 1997, ASTRODYNAMICS 1997, P501
[8]  
Milani A., 1987, NONGRAVITATIONAL PER
[9]   A methodology for using optimal MSIS parameters retrieved from SSULI data to compute satellite drag on LEO objects [J].
Nicholas, AC ;
Picone, JM ;
Thonnard, SE ;
Meier, RR ;
Dymond, KF ;
Drob, DP .
JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS, 2000, 62 (14) :1317-1326
[10]   Enhanced empirical models of the thermosphere [J].
Picone, JM ;
Hedin, AE ;
Drob, DP ;
Meier, RR ;
Lean, J ;
Nicholas, AC ;
Thonnard, SE .
PHYSICS AND CHEMISTRY OF THE EARTH PART C-SOLAR-TERRESTIAL AND PLANETARY SCIENCE, 2000, 25 (5-6) :537-542