Results 91 to 100 of about 2,463,978 (199)

Estimation of Neutral Densities in the Thermosphere

open access: yes, 2017
Ionospheric energy balance is studied with incoherent scatter radar measurements that allow the estimation of neutral density and temperature from a statistical inversion problem. This method has been successfully studied at low latitudes using data over several years to make a robust model.
openaire   +1 more source

Thermospheric Exospheric Temperature and Composition Responses on 15 January 2022 Tonga Volcanic Eruption Based on the Ionosonde Observations

open access: yesGeophysical Research Letters
We report thermospheric exospheric temperature and composition responses on the 15 January 2022 Tonga volcanic eruption. The temperature and composition profiles are inversed from three ionosonde (MHJ45, EG931, FF051) observed electron density profiles (∼
Tingting Yu   +4 more
doaj   +1 more source

Applying Energy Dissipation Rate GNSS Accelerometry to a Non‐Circular Orbiting Satellite

open access: yesEarth and Space Science
The increase in the number of objects in Low‐Earth Orbit has heightened the demand for high‐accuracy orbital prediction models driven by dependable measurements of thermospheric mass density (TMD).
D. J. Fitzpatrick   +3 more
doaj   +1 more source

High‐Latitude Electrodynamics and Thermospheric Density Variations During the 2024 Gannon Storm

open access: yesSpace Weather
This study investigates high‐latitude electrodynamics and thermospheric density variations during the 2024 Gannon's storm. First, the auroral precipitation module of Auroral Spectra and High‐Latitude Electric field variabilitY, ASHLEY‐A, is improved to ...
Qingyu Zhu   +6 more
doaj   +1 more source

Predicting global thermospheric neutral density during periods with high geomagnetic activity. [PDF]

open access: yesSci Rep, 2023
Forootan E   +5 more
europepmc   +1 more source

The Ionospheric Connection Explorer - Prime Mission Review. [PDF]

open access: yesSpace Sci Rev, 2023
Immel TJ   +25 more
europepmc   +1 more source

Machine Learning Based Modeling of Thermospheric Mass Density

open access: yesSpace Weather
In this study, we propose a machine learning based approach to construct an empirical model of thermospheric mass densities, based on the MultiLayer Perceptron and bi‐directional Long Short‐Term Memory for ensemble learning model (MBiLE). The MBiLE model
Qian Pan   +8 more
doaj   +1 more source

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