Developing the Science of Networks to Quantify Pattern in Earth and Space-Based Observations of Space Weather

Abstract

1) Develop tools that are established in network science to allow robust application to real world data, dealing with uncertainties, instrument calibration and non-linear response, non-uniform sampling and data gaps.2) Apply to ground based magnetometer networks and space based observations3) Apply to large scale space weather simulations to trial networks in the DDDAS paradigm

Document Details

Document Type
DoD Grant Award
Publication Date
May 02, 2017
Source ID
FA95501710054

Entities

People

  • Sandra Chapman

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of Warwick

Tags

Fields of Study

  • Environmental science

Readers

  • Aerospace Engineering.
  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development

Technology Areas

  • Space