IN030-06
Open Knowledge Networks for geoscience: A powerful use case through space weather

Monday, 14 December 2020: 04:15
Virtual
Ryan Michael McGranaghan, Atmospheric and Space Technology Research Associates (ASTRA), Louisville, CO, United States, Adam C Kellerman, University of California Los Angeles, Los Angeles, CA, United States, Karthik Venkataramani, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States, Robert F Arritt, Electric Power Research Institute Palo Alto, Palo Alto, TN, United States, Cogan Shimizu, Kansas State University, Manhattan, KS, United States, Jacob Bortnik, University of California Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, CA, United States, Jackson McCormick, Georgia Institute of Technology Main Campus, Atlanta, GA, United States, Morris Cohen, Georgia Institute of Technology Main Campus, School of Electrical and Computer Engineering, Atlanta, GA, United States, Chigomezyo Ngwira, ASTRA LLC, Science, Louisville, CO, United States, Charles Perry, Electric Power Research Institute Palo Alto, Palo Alto, United States and Joe Hughes, Atmospheric and Space Technology Research Associates, LLC, Boulder, CO, United States
Abstract:
In March 1989, the Hydro-Québec power grid collapsed leaving 6 million people without electricity for approximately nine hours. The day before, a solar flare and accompanying release of plasma and magnetic fields sent a mountain of energy propelling toward Earth at a million miles an hour. The complex interactions of the solar cloud of plasma with the near Earth space and terrestrial environment – “space weather” – pushed the electric power grid to a tipping point that could not be understood within any single one of those systems. Space weather is a powerful use case motivating the need for mature knowledge representation and discovery systems.

We present results from a National Science Foundation Convergence Accelerator project to build an ‘open knowledge network’ for the sun-to-power grid use case: The Convergence Hub for the Exploration of Space Science. We describe the approaches, tools, and technologies to create knowledge networks for the geosciences. The research shared will be a guide to any community dealing with the following problems: 1) the lack of a cohesive community, owing to the wide variety of subject matter experts required, 2) the lack of effective data sharing, coordination, and analysis (e.g., data science); and/or 3) the diversity of physically dominant processes across the system.

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