Systematic Evaluation of Ionosphere/Thermosphere (IT) Models
J. S. Shim(Goddard Space Flight Center), E. K. Sutton(United States Air Force Research Laboratory), D. Bilitza(George Mason University), L. Zhu(Utah State University), B. A. Emery(NSF National Center for Atmospheric Research), J. J. Sojka(Utah State University), D. R. Weimer(Virginia Tech), R. W. Schunk(Utah State University), Mark D. Butala, Jorge L. Chau(Leibniz Institute of Atmospheric Physics at the Rostock University), M. Codrescu(National Oceanic and Atmospheric Administration), B. Foster(NSF National Center for Atmospheric Research), A. J. Mannucci(California Institute of Technology), M. M. Kuznetsova, L. Scherliess(Utah State University), D. N. Anderson, J. Huba(United States Naval Research Laboratory), L. Rastätter(Goddard Space Flight Center), T. J. Fuller‐Rowell, P. Stephens(California Institute of Technology), Xiaoqing Pi(California Institute of Technology), D. C. Thompson(United States Air Force Research Laboratory), A. J. Ridley(University of Michigan)
Cited by 20
Related Papers
A global mapping technique for GPS‐derived ionospheric total electron content measurements
|Radio Science|1998|1.3k
Machine learning in manufacturing: advantages, challenges, and applications
|Production & Manufacturing Research|2016|1.3k
Improved ionospheric electrodynamic models and application to calculating Joule heating rates
|Journal of Geophysical Research Atmospheres|2005|746
Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection
|CIRP Annals|2016|571
Models of high‐latitude electric potentials derived with a least error fit of spherical harmonic coefficients
|Journal of Geophysical Research Atmospheres|1995|481