Results 1 to 10 of about 11,342 (218)
How do gravity waves triggered by a typhoon propagate from the troposphere to the upper atmosphere? [PDF]
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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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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Accurate specification of the thermosphere states is crucial to the low Earth orbit satellite operation. In this work, the impact of different ionosphere and thermosphere observing systems on the improvement of neutral temperature of the data ...
Jianhui He, Xinan Yue, Zhipeng Ren
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A system science perspective of the drivers of equatorial plasma bubbles
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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Validation of Auric Model with EUV/FUV Dayglow Observation of STP78-1 Satellite [PDF]
We carried out a validation study on AURIC FUV/EUV dayglow calculation with OII 834AA, OI 989AA, OI 1027AA, NII 1085AA, NI 1134AA, NI 1200AA, OI 1304AA, OI 1356AA dayglows observed by STP78-1 satellite.
Mi Ji Kang, Jeong-Han Kim, Yong Ha Kim
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Drag Coefficient Constraints for Space Weather Observations in the Upper Thermosphere
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
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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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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Thermospheric nitric oxide is modulated by the ratio of atomic to molecular oxygen and thermospheric dynamics during solar minimum [PDF]
The formation of nitric oxide (NO) by geomagnetic activity and EUV photoionization in the upper mesosphere and lower thermosphere, and its subsequent impact on ozone, contributes to the natural forcing of the climate system, and has been recommended to ...
M. Sinnhuber +11 more
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Reduced Order Probabilistic Emulation for Physics‐Based Thermosphere Models
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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