Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

New Satellite Drag Modeling Capabilities

Authors: Frank Marcos;

New Satellite Drag Modeling Capabilities

Abstract

This paper reviews the operational impacts of satellite drag, the historical and current capabilities, and requirements to deal with evo lving higher accuracy requirements. Modeling of satellite drag variations showed little improvement from the 1960’s to the late 1990’s. After three decades of essentially no quantitative progress, the problem is being vigorously and fruitfully attacked on several fronts. This century has already shown significant advances in measurements, models, solar and geomagnetic proxies and the application of data assimilation techniques to operational applications. While thermospheric measurements have been historica lly extremely sparse, new data sets are now available from intense ground -based radar tracking of satellite orbital decay and from satellite -borne accelerometers and remote sensors. These data provide global coverage over a wide range of thermospheric alti tudes. Operational assimilative empirical models, utilizing the orbital drag data, have reduced model errors by almost a factor of two. Together with evolving new solar and geomagnetic inputs, the satellite -borne sensors support development of advanced ope rational assimilative first principles forecast models. We look forward to the time when satellite drag is no longer the largest error source in determining or bits of low altitude satellites.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    24
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!