169 citations · 422 across the 16 of their papers we have counts for
16 papers
Machine Learning-Ready Data Sets for the Analysis and Nowcasting of Atmospheric Radiation at Aviation Altitudes
Viacheslav M Sadykov, Zachary M Watkins, Dustin Kempton +10
Nowcasting and forecasting of the radiation environment in the Earth's lower atmosphere are critical for the safety of aircraft and spacecraft crews and passengers. Currently, this…
Editorial: Impacts of the Extreme Gannon Geomagnetic Storm of May 2024 throughout the Magnetosphere-Ionosphere-Thermosphere System
Denny M. Oliveira, Mirko Piersanti, Maria-Theresia Walach +4
Editorial for the Research Topic collection Impacts of the Extreme Gannon Geomagnetic Storm of May 2024 throughout the Magnetosphere-Ionosphere-Thermosphere System, published in Fr…
Advances in aviation radiation mitigation were demonstrated during the Gannon storm
W. K. Tobiska, B. Hogan, L. Didkovsky +5
A validation strategy for aviation radiation hazard mitigation has been completed using two commercial airline flights in 2024 and 2025. We review the strategy primary elements, in…
A strategic architecture for growing a space economy utilizing foundational space weather
W Kent Tobiska
We face unprecedented resource stresses in the 21st Century such as global climate disruptions, freshwater scarcity, expanding energy demands, and the threat of global pandemics. H…
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…
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…
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…
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…
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…
The current state and future directions of modeling thermosphere density enhancements during extreme magnetic storms
Denny M. Oliveira, Eftyhia Zesta, Piyush M. Mehta +4
Satellites, crewed spacecraft and stations in low-Earth orbit (LEO) are very sensitive to atmospheric drag. A satellite's lifetime and orbital tracking become increasingly inaccura…
Relativistic electron flux model in the outer radiation belt using a neural network approach
Xiangning Chu, Donglai Ma, Jacob Bortnik +10
We present a machine-learning-based model of relativistic electron fluxes >1.8 MeV using a neural network approach in the Earth's outer radiation belt. The Outer RadIation belt Ele…
Machine-Learned HASDM Model with Uncertainty Quantification
Richard J. Licata, Piyush M. Mehta, W. Kent Tobiska +1
The first thermospheric neutral mass density model with robust and reliable uncertainty estimates is developed based on the SET HASDM density database. This database, created by Sp…
Modeling the dynamic variability of sub-relativistic outer radiation belt electron fluxes using machine learning
Donglai Ma, Xiangning Chu, Jacob Bortnik +6
We present a set of neural network models that reproduce the dynamics of electron fluxes in the range of 50 keV 1 MeV in the outer radiation belt. The Outer Radiation belt E…
Radiation Data Portal: Integration of Radiation Measurements at the Aviation Altitudes and Solar-Terrestrial Environment Observations
Viacheslav M Sadykov, Irina N Kitiashvili, W Kent Tobiska +1
The impact of radiation dramatically increases at high altitudes in the Earth's atmosphere and in space. Therefore, monitoring and access to radiation environment measurements are…
Benchmarking Forecasting Models for Space Weather Drivers
Richard J. Licata, W. Kent Tobiska, Piyush M. Mehta
Space weather indices are commonly used to drive operational forecasts of various geospace systems, including the thermosphere for mass density and satellite drag. The drivers serv…
Forecasting the Arrival Time of Coronal Mass Ejections: Analysis of the CCMC CME Scoreboard
Pete Riley, Leila Mays, Jesse Andries +15
Accurate forecasting of the properties of coronal mass ejections as they approach Earth is now recognized as an important strategic objective for both NOAA and NASA. The time of ar…