Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Wayne Scales"'
Publikováno v:
Atmosphere, Vol 14, Iss 4, p 676 (2023)
A newly developed three-dimensional electrostatic fluid model solving continuity and current closure equations aims to study phenomena that generate ionospheric turbulence. The model is spatially discretized using a pseudo-spectral method with full F
Externí odkaz:
https://doaj.org/article/1011a22f2f924df3804047e0318684dc
Publikováno v:
Radiation Effects and Defects in Solids. 177:2-14
Publikováno v:
Satellite Navigation, Vol 2, Iss 1, Pp 1-21 (2021)
Ionospheric irregularities can adversely affect the performance of Global Navigation Satellite System (GNSS). However, this opens the possibility of using GNSS as an effective ionospheric remote sensing tool. Despite ionospheric monitoring has been u
Autor:
Wayne Scales, YuXiang Peng
Publikováno v:
Radiation Effects and Defects in Solids. 175:998-1001
Future space weather missions using spacecraft formation flying can provide more robust, flexible, sustainable, and low-cost observational capability on multi-scale ionospheric plasma structures. T...
Publikováno v:
Radiation Effects and Defects in Solids. 175:136-140
The effect of the August 21, 2017 solar eclipse on the ionosphere is modeled using Sami3 is Also a Model of the Ionosphere (SAMI3). Due to the density gradient geometry that arises from the solar e...
Publikováno v:
Radiation Effects and Defects in Solids. 175:141-149
Recent experimental observations of stimulated electromagnetic emissions (SEE) during ionospheric heating have shown that the SEE spectrum produced as a result of the stimulated Brillouin b...
Publikováno v:
Radiation Effects and Defects in Solids. 175:3-6
We narrate our experiences of teaching plasma and fluid mechanics to undergraduate students at Bowie State University and Virgin Tech and comment on possible pathways for future improvements in pla...
A comprehensive statistical analysis was performed on Global Positioning System scintillation data acquired at high latitudes from 2014 to 2017 after separating phase scintillation events originating from refraction and/or diffraction. Events exceedi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4a15c13923a5dc763d6d55d6a395f0e
https://hdl.handle.net/10919/111424
https://hdl.handle.net/10919/111424
Autor:
Eric Loomis, Michael Grosskopf, Wayne Scales, Nomita Vazirani, Paul A. Bradley, Brian Haines, Scott L. England, D. J. Stark
Publikováno v:
2021 IEEE International Conference on Plasma Science (ICOPS).
Advances in machine learning have the ability to cut down design costs and enhance the design process for high-energy-density experiments. Machine learning can use expensive simulation data to search the design space efficiently for an optimal design