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Enabling Easier Access to Analysis Ready Data with HAPI

Jon Vandegriff, JHU/APL
Robert S. Weigel, George Mason University
Jeremy Faden, Cottage Systems
Alex Antunes, JHU/APL
Robert Candey, NASA/GSFC
Doug Lindholm, CU Boulder / LASP
First Author's Affiliation
JHU / APL
Abstract text:

Data wrangling can be a frustrating part of doing science analysis. We present here a mechanism designed to simplify analysis of data from distributed sources. Across Heliophysics, there is a significant interest in combining data from many regimes: the Sun, interplanetary space, the magnetosphere, ionosphere, and atmosphere. Yet data coming from such different communities can be very diverse and hard to analyze jointly. We present an established standard for obtaining uniformly arranged data from many sources: HAPI - the Heliophysics Application Programmer's Interface. This is a computing standard and infrastructure that can demonstrably make a scientist's life easier, by allowing common access to many different repositories, i.e., one program can read data from many sources. We present the concept of HAPI and its current capabilities, with a focus on the use in research on the ionosphere and upper atmosphere. Currently the following data providers offer data via HAPI: CDAWeb, SSCWeb, INTERMAGNET, University of Iowa Physics Dept., CCMC ISWA Server, LISIRD (solar irradiance data at Univ. of CO), AMDA (European Heliophysics and Planetary data center), the VirES server for the ESA SWARM mission).

Non-Student
Poster category
DATA - Data Assimilation, Data Analytics, Methods and Management