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Session
  • Presentation | SA11D: Resolving the Spatiotemporal Characteristics of the Ionosphere and Thermosphere I Poster
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  • SA11D-1919: Enhancing Geospace Dynamics Constellation (GDC) Science ThroughEphemeris Validation and Kamodo-Powered Data Visualization
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  • Board 1919‚ Hall EFG (Poster Hall)
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Author(s):
Douglas Rowland, NASA Goddard Space Flight Center (First Author)
Francesca Di Mare, NASA Goddard Space Flight Center (Presenting Author)
Katherine Garcia-Sage, NASA Goddard Space Flight Center
Jeff Klenzing, NASA Goddard Space Flight Center
Guiping Liu, NASA Goddard Space Flight Center
Ja-Soon Shim, Science and Technology Institute, Universities Space Research Association


We show examples of synthetic data sets from the Geospace Dynamics Constellation (GDC) mission, and use these data sets to demonstrate analysis and visualization tools. The synthetic data sets are created by interpolating the output of numerical models of the upper atmosphere. The analysis and visualization tools have been designed to aid in interpretation and analysis of this unique multi-point data set. These tools will be designed to be publicly available, and will be used to help optimize the evolution of the GDC constellation over its three year mission to achieve the best scientific return.



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