Zobrazeno 1 - 10
of 210
pro vyhledávání: '"Tobiska, W."'
Autor:
Tobiska, W Kent
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. Historically, societies have relieved resource stress by increasing tra
Externí odkaz:
http://arxiv.org/abs/2307.08776
Autor:
Jain, Kiran, Lindsey, C., Adamson, E., Arge, C. N., Berger, T. E., Braun, D. C., Chen, R., Collado-Vega, Y. M., Dikpati, M., Felipe, T., Henney, C. J., Hoeksema, J. T., Komm, R. W., Leka, K. D., Marble, A. R., Pillet, V. Martinez, Miesch, M., Nickisch, L. J., Pevtsov, A. A., Pizzo, V. J., Tobiska, W. K., Tripathy, S. C., Zhao, J.
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 to improving space weather forecasting as well as fundamental research
Externí odkaz:
http://arxiv.org/abs/2210.01291
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 radiation clouds. More accurately, the plane is likely to be flying throug
Externí odkaz:
http://arxiv.org/abs/2209.05599
Autor:
Tobiska, W. Kent, Pilinski, Marcin D., Mutschler, Shaylah, Wahl, Kaiya, Yoshii, Jean, Bouwer, Dave, Mehta, Piyush, Licata, Richard
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 of unintentional collisions between objects due to accumulating space
Externí odkaz:
http://arxiv.org/abs/2209.05597
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 Laboratory (NRL) MSIS 2.0 empirical atmospheric model. NRLMSIS 2.0 pr
Externí odkaz:
http://arxiv.org/abs/2208.11619
Autor:
Licata, Richard J., Mehta, Piyush M., Weimer, Daniel R., Drob, Douglas P., Tobiska, W. Kent, Yoshii, Jean
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 and - if used correctly - can provide scientific information related t
Externí odkaz:
http://arxiv.org/abs/2206.05824
Autor:
Oliveira, Denny M., Zesta, Eftyhia, Mehta, Piyush M., Licata, Richard J., Pilinski, Marcin D., Tobiska, W. Kent, Hayakawa, Hisashi
Publikováno v:
Published in Frontiers in Astronomy and Space Sciences (2021)
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 inaccurate or uncertain during magnetic storms. Given the planned increase of
Externí odkaz:
http://arxiv.org/abs/2110.04360
Autor:
Chu, Xiangning, Ma, Donglai, Bortnik, Jacob, Tobiska, W. Kent, Cruz, Alfredo, Bouwer, S. Dave, Zhao, Hong, Ma, Qianli, Zhang, Kun, Baker, Daniel N., Li, Xinlin, Spence, Harlan, Reeves, Geoff
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 Electron Neural net model for Relativistic electrons (ORIENT-R) uses only
Externí odkaz:
http://arxiv.org/abs/2109.10532
Autor:
Ma, Donglai, Chu, Xiangning, Bortnik, Jacob, Claudepierre, Seth G., Tobiska, W. Kent, Cruz, Alfredo, Bouwer, S. Dave, Fennell, J. F., Blake, J. B.
Publikováno v:
Space Weather, 20, e2022SW003079
We present a set of neural network models that reproduce the dynamics of electron fluxes in the range of 50 keV $\sim$ 1 MeV in the outer radiation belt. The Outer Radiation belt Electron Neural net model for Medium energy electrons(ORIENT-M) uses on
Externí odkaz:
http://arxiv.org/abs/2109.08647
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 Space Environment Technologies (SET), contains 20 years of outputs from
Externí odkaz:
http://arxiv.org/abs/2109.07651