activity
20182026
most citedForecasting the Arrival Time of Coronal Mass Ejections: Analysis of the CCMC CME Scoreboard

169 citations · 422 across the 16 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

astro-ph.IM2022

Seismic Monitoring of the Sun's Far Hemisphere: A Crucial Component in Future Space Weather Forecasting (A White Paper Submitted to the Decadal Survey for Solar and Space Physics (Heliophysics) -- SSPH 2024-2033)

Kiran Jain, C. Lindsey, E. Adamson +20

The purpose of this white paper is to put together a coherent vision for the role of helioseismic monitoring of magnetic activity in the Sun's far hemisphere that will contribute t…

physics.space-ph2022★ 6 cited

Increased radiation events discovered at commercial aviation altitudes

W. Kent Tobiska, Alexa J. Halford, Steven K. Morley

We show fifty-seven enhanced radiation level events taken from new measurements on commercial altitude (greater than 9 km) aircraft that are analogous to planes flying through radi…

physics.space-ph2022★ 1 cited

Understanding variability in HASDM to support space traffic management

W. Kent Tobiska, Marcin D. Pilinski, Shaylah Mutschler +5

With more commercial constellations planned, the number of Low Earth Orbit (LEO) objects is set to TRIPLE in two years. The growth in LEO objects directly increases the probability…

physics.space-ph2022★ 22 cited

Calibrated and Enhanced NRLMSIS 2.0 Model with Uncertainty Quantification

Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer +2

The Mass Spectrometer and Incoherent Scatter radar (MSIS) model family has been developed and improved since the early 1970's. The most recent version of MSIS is the Naval Research…

physics.space-ph2022★ 17 cited

Science through Machine Learning: Quantification of Poststorm Thermospheric Cooling

Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer +3

Machine learning (ML) is often viewed as a black-box regression technique that is unable to provide considerable scientific insight. ML models are universal function approximators…