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  • 标题:Space Weather Modeling Capabilities Assessment: Neutral Density for Orbit Determination at low Earth orbit
  • 本地全文:下载
  • 作者:S. Bruinsma ; E. Sutton ; S. C. Solomon
  • 期刊名称:Space Weather
  • 印刷版ISSN:1542-7390
  • 出版年度:2018
  • 卷号:16
  • 期号:11
  • 页码:1806-1816
  • DOI:10.1029/2018SW002027
  • 语种:English
  • 出版社:American Geophysical Union
  • 摘要:The specification and prediction of density changes in the thermosphere is a key challenge for space weather observations and modeling, because it is one result of complex interactions between the Sun and the terrestrial atmosphere and also because it is of operational importance for tracking objects orbiting in near-Earth space. For low Earth orbit, neutral density variation is the most important uncertainty for propagation and prediction of orbital elements. A recent international conference conducted under the auspices of the National Aeronautics and Space Administration Community Coordinated Modeling Center included a workshop on neutral density modeling, using both empirical and numerical methods, and resulted in organization of an initial effort in model comparison and evaluation. Here we report on the exploitable density data sets available, the selected years and storm events, and the metrics for complete model assessment. Comparisons between five models (three empirical and two numerical) and neutral density data sets that include measurements by the CHAMP, GRACE, and GOCE satellites are presented as examples of the assessment procedure that will be implemented at Community Coordinated Modeling Center. The models in general performed reasonably well, although seasonal errors sometimes are present, and impulsive geomagnetic storm events remain challenging. Numerical models are still catching up to empirical methods on a statistical basis, but hold great potential for describing these short-term variations.
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