CDF data archive and integrated data analysis platform for ERG-related ground data developed by ERG Science Center (ERG-SC)

  • Hori Tomoaki
    SolarTerrestrialEnvironmentLaboratoryNagoyaUniversity
  • Miyashita Yukinaga
    SolarTerrestrialEnvironmentLaboratoryNagoyaUniversity
  • Miyoshi Yoshizumi
    SolarTerrestrialEnvironmentLaboratoryNagoyaUniversity
  • Seki Kanako
    SolarTerrestrialEnvironmentLaboratoryNagoyaUniversity
  • Segawa Tomonori
    SolarTerrestrialEnvironmentLaboratoryNagoyaUniversity
  • Tanaka Yoshimasa
    NationalInstituteOfPolarResearchResearchOrganizationOfInformationAndSystemsTheGraduateUniversityForAdvancedStudiesSOKENDAISolarTerrestrialEnvironmentLaboratoryNagoyaUniversity
  • Keika Kunihiro
    S SolarTerrestrialEnvironmentLaboratoryNagoyaUniversity
  • Shoji Masafumi
    InstituteOfSpaceAndAstronauticalScienceJapan AerospaceExplorationAgency

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Abstract

The Exploration of energization and Radiation in Geospace project Science Center (ERG-SC) has developed the science data file archive and integrated data analysis tool for the ground network observation data of the ERG project. We have organized data design consortiums to develop and elaborate the standard metadata and data variable sets for each type of the ERG-related ground data being archived as Common Data Format (CDF) files. The integrated data analysis software for the project has also been developed on the basis of the Space Physics Environment Data Analysis Software (SPEDAS) which works in concert with the CDF data file repository. The software tools, which are provided as plug-in libraries for SPEDAS, are made available to the international science community so that scientists and students are ready to proceed to integrated studies combining the ground data with other satellite and simulation data seamlessly. The integrated data analysis software can make scientific activities more productive and help the ERG project achieve the scientific goals.

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Details 詳細情報について

  • CRID
    1573387452648391168
  • NII Article ID
    110009894246
  • NII Book ID
    AA1192675X
  • ISSN
    13491113
  • Text Lang
    en
  • Data Source
    • CiNii Articles

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