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Standardizing Time Series Data Access across Heliophysics and Planetary Data Centers using HAPI
  • +11
  • Jon Vandegriff,
  • Robert Weigel,
  • Jeremy Faden,
  • D Aaron Roberts,
  • Todd King,
  • Bernard Harris,
  • Eric Grimes,
  • Scott Boardsen,
  • Robert Candey,
  • Nand Lal,
  • Douglas Lindholm,
  • Christopher Lindholm,
  • In Sook Moon,
  • Lawrence Brown
Jon Vandegriff
Johns Hopkins University Applied Physics Laboratory

Corresponding Author:jon.vandegriff@jhuapl.edu

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Robert Weigel
George Mason University
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Jeremy Faden
Self Employed
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D Aaron Roberts
NASA Goddard SFC
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Todd King
UCLA/ESS
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Bernard Harris
NASA Goddard Space Flight Cntr
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Eric Grimes
UCLA
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Scott Boardsen
NASA Goddard SFC
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Robert Candey
NASA Goddard Space Flight Center
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Nand Lal
NASA Goddard Space Flight Center
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Douglas Lindholm
Laboratory for Atmospheric and Space Physics
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Christopher Lindholm
Laboratory for Atmospheric and Space Physics
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In Sook Moon
UCLA/EPSS
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Lawrence Brown
Applied Physics Laboratory Johns Hopkins
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Abstract

Interoperability between datasets in Heliophysics and Planetary archives is increasingly important to address complex science questions about space weather and planetary plasma environments. Yet for cross-disciplinary studies, data ingestion is often a tedious, time-consuming process. We have developed the Heliophysics Application Programmer’s Interface (HAPI), a standard specification that captures a lowest common denominator method for accessing time series data. HAPI offers the ability to request data from multiple sources using a single interface, coupled with the ability to get identically formatted data from each source. HAPI has been recognized as a standard by the Committee on Space Research (COSPAR) and has gained adoption at multiple institutions in the US, including Goddard Space Flight Center’s Coordinated Data Analysis Web (GSFC/CDAWeb), the Planetary Data System Planetary Plasma Interactions Node (PDS/PPI), and the Laboratory for Atmospheric and Space Physics (LASP) Interactive Solar Irradiance Data Center (LISIRD). European plasma data centers such as the French Plasma Physics Data Centre (CDPP) and European Space Astronomy Centre (ESAC) are also in the process of adopting HAPI. We present an overview of the HAPI specification and describe how data centers can add HAPI access to their content. We also present how scientists can plot or download HAPI data using Python or using existing analysis tools such as Autoplot (Faden, 2010) and Space Physics Environment Data Analysis Software (SPEDAS) (Angelopoulos, 2019). Faden, J.B., Weigel, R.S., Merka, J. et al. Autoplot: a browser for scientific data on the web. Earth Sci Inform 3, 41–49 (2010). https://doi.org/10.1007/s12145-010-0049-0 Angelopoulos V, Cruce P, Drozdov A, et al. The Space Physics Environment Data Analysis System (SPEDAS). Space Sci Rev. 2019;215(1):9. doi:10.1007/s11214-018-0576-4