Results 1 to 10 of about 24,137 (262)
Universe, 2022 Using observations by the SABER (Sounding of the Atmosphere using Broadband Emission Radiometry) instrument on board the TIMED (Thermosphere-Ionosphere-Mesosphere Energetics and Dynamics) satellite and simulations by the TIEGCM (Thermosphere-Ionosphere ...
Zheng Li +6 more
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A system science perspective of the drivers of equatorial plasma bubbles
Frontiers in Astronomy and Space Sciences, 2023 The complex drivers of equatorial plasma bubbles and resulting scintillation requires a system science approach spanning the Magnetosphere-Ionosphere-Thermosphere-Mesosphere disciplines.
Jeff Klenzing +10 more
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How do gravity waves triggered by a typhoon propagate from the troposphere to the upper atmosphere? [PDF]
Atmospheric Chemistry and Physics, 2022 Gravity waves (GWs) strongly affect atmospheric dynamics and photochemistry and the coupling between the troposphere, stratosphere, mesosphere, and thermosphere. In addition, GWs generated by strong disturbances in the troposphere (e.g. thunderstorms and
Q. Li +7 more
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Atmospheric and Ionospheric Responses to Hunga‐Tonga Volcano Eruption Simulated by WACCM‐X
Geophysical Research Letters, 2023 High‐resolution Whole Atmosphere Community Climate Model with thermosphere/ionosphere extension is used to simulate the responses to the Hunga‐Tonga volcano eruption on 15 January 2022.
H.‐L. Liu +4 more
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Geophysical Research Letters, 2023 A thermospheric wind data set from a Fabry‐Perot interferometer (630 nm) and the ion velocity from a Dynasonde in Tromsø, Norway, was analyzed for nine winter seasons to study the dynamics of the thermosphere and F‐region ionosphere at an auroral ...
S. Oyama +10 more
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Drag Coefficient Constraints for Space Weather Observations in the Upper Thermosphere
Space Weather, 2022 The space weather research community relies heavily on thermospheric density data to understand long‐term thermospheric variability, construct assimilative, empirical, and semiempirical global atmospheric models and validate model performance. One of the
Valerie Bernstein, Marcin Pilinski
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Science Through Machine Learning: Quantification of Post‐Storm Thermospheric Cooling
Space Weather, 2022 Machine learning (ML) models are universal function approximators and—if used correctly—can summarize the information content of observational data sets in a functional form for scientific and engineering applications.
Richard J. Licata +5 more
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Space Weather, 2021 In this study, the Global Ionosphere Thermosphere Model is utilized to investigate the inter‐hemispheric asymmetry in the ionosphere‐thermosphere (I‐T) system at mid‐ and high‐latitudes (|geographic latitude| > 45°) associated with inter‐hemispheric ...
Yu Hong +6 more
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Reduced Order Probabilistic Emulation for Physics‐Based Thermosphere Models
Space Weather, 2023 The geospace environment is volatile and highly driven. Space weather has effects on Earth's magnetosphere that cause a dynamic and enigmatic response in the thermosphere, particularly on the evolution of neutral mass density.
Richard J. Licata, Piyush M. Mehta
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What to Do When the F10.7 Goes Out?
Space Weather, 2023 The solar radio flux at 10.7 cm, known as F10.7, is a critical operational space weather index. However, without a clear backup, any interruption to the service can result in substantial errors in model outputs.
Sean Elvidge +3 more
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