Variation of Earth's Oblateness J 2 on Interannual‐to‐Decadal Timescales

2020 ◽  
Vol 125 (6) ◽  
Author(s):  
B. F. Chao ◽  
Y. Yu ◽  
C. H. Chung
Keyword(s):  
Earth’S Oblateness

Perturbations of a Satellite's Orbit Due to the Earth's Oblateness

1956 ◽  
Vol 27 (10) ◽  
pp. 1141-1149 ◽  
Author(s):  
Leon Blitzer ◽  
Morris Weisfeld ◽  
Albert D. Wheelon
Keyword(s):  
Earth’S Oblateness

scholarly journals Using GRACE to Explain Variations in the Earth's Oblateness

2019 ◽  
Vol 46 (1) ◽  
pp. 158-168 ◽  
Author(s):  
Yu Sun ◽  
Riccardo Riva ◽  
Pavel Ditmar ◽  
Roelof Rietbroek
Keyword(s):  
Earth’S Oblateness

The effect of the Earth's oblateness on the long-term dispersion of debris

1993 ◽  
Vol 13 (8) ◽  
pp. 171-174 ◽  
Author(s):  
J. Ashenberg ◽  
R.A. Broucke
Keyword(s):  
Earth’S Oblateness

Variations in the Earth's oblateness during the past 28 years

2004 ◽  
Vol 109 (B9) ◽  
pp. n/a-n/a ◽  
Author(s):  
Minkang Cheng ◽  
Byron D. Tapley
Keyword(s):  
The Past ◽  
Earth’S Oblateness

scholarly journals Application of Computational Intelligence in Order to Develop Hybrid Orbit Propagation Methods

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Iván Pérez ◽  
Juan Félix San-Juan ◽  
Montserrat San-Martín ◽  
Luis María López-Ochoa
Keyword(s):  
Time Series ◽  
Perturbation Theory ◽  
Computational Intelligence ◽  
General Perturbation ◽  
Special Perturbation ◽  
Statistical Time ◽  
Propagation Methods ◽  
External Forces ◽  
Semianalytical Method ◽  
Earth’S Oblateness

We present a new approach in astrodynamics and celestial mechanics fields, calledhybrid perturbation theory. A hybrid perturbation theory combines anintegrating technique, general perturbation theory or special perturbation theory or semianalytical method, with aforecasting technique, statistical time series model or computational intelligence method. This combination permits an increase in the accuracy of the integrating technique, through the modeling of higher-order terms and other external forces not considered in the integrating technique. In this paper, neural networks have been used as time series forecasters in order to help two economic general perturbation theories describe the motion of an orbiter only perturbed by the Earth’s oblateness.

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