Community‐wide validation of geospace model ground magnetic field perturbation predictions to support model transition to operations
A. Pulkkinen(Goddard Space Flight Center), R. S. Weigel(George Mason University), A. J. Ridley(University of Michigan), T. I. Gombosi(University of Michigan), D. R. Weimer(Virginia Tech), M. Wiltberger, G. Tóth(University of Michigan), H. J. Singer(National Oceanic and Atmospheric Administration), M. M. Kuznetsova, C. C. Balch(National Oceanic and Atmospheric Administration), L. Rastätter(Goddard Space Flight Center), J. Raeder
Cited by 193
Related Papers
Machine learning in manufacturing: advantages, challenges, and applications
|Production & Manufacturing Research|2016|1.3k
Magnetopause location under extreme solar wind conditions
|Journal of Geophysical Research Atmospheres|1998|1.1k
A new functional form to study the solar wind control of the magnetopause size and shape
|Journal of Geophysical Research Atmospheres|1997|841
Improved ionospheric electrodynamic models and application to calculating Joule heating rates
|Journal of Geophysical Research Atmospheres|2005|746