Results 111 to 120 of about 1,392 (166)
Geomagnetic storm events have a strong influence on the ionosphere–thermosphere (I-T) coupling system. Analyzing the regional response process of the I-T system and its differences across the northern and southern hemispheres is an important but ...
WenBo Li +7 more
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This paper investigates possible use of middle latitude daytime COSMIC and CHAMP ionospheric radio occultation (IRO) electron density profiles (EDPs) to retrieve thermospheric parameters, based on the Mikhailov et al ...
Beleaki, A. +9 more
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Solar cycles 24–25 were quiet until a geomagnetic storm with a Sym‐H index of −170 nT occurred in late March 2023. On March 23–24, a Fabry‐Perot interferometer (FPI; 630 nm) in Tromsø, Norway, recorded the highest thermospheric wind speed of over 500 m/s
S. Oyama +12 more
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Thermospheric Density Prediction Based on Electron Density Assimilation
Yanan ZHANG, Xiaocheng WU, Xiong HU
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A Machine Learning-Based Thermospheric Density Model with Uncertainty Quantification
Conventional thermospheric density models are limited in their ability to capture solar-geomagnetic coupling dynamics and lack probabilistic uncertainty estimates.
Xin Ning, Junzhi Li, Yong Wang
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The extraordinary eruption of the Tonga volcano on 15 January 2022 lofted material to heights exceeding 50 km, marking the highest observed since the satellite era.
Ruoxi Li +6 more
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Thermospheric temperature, density, and composition: New models
The models essentially consist of two parts: the basic static models, which give temperature and density profiles for the relevant atmospheric constituents for any specified exospheric temperature, and a set of formulae to compute the exospheric ...
Jacchia, L. G.
core
A swarm of femtosatellites for lower thermospheric density determination.
The Lower thermosphere (between 80 and 350 km) is quite badly known due to the scarcity of satellites in this region. Nevertheless, it is an important region in several respects. Firstly, because its density determines when a falling satellite will reenter the dense layers of the atmosphere, thus affecting at reentry predictions. Secondly, it is highly
openaire +2 more sources
Tabulated lower thermospheric chemical composition, temperature, and mass density ...
Calloway, M. T., Weidner, D. K.
core
Thermospheric density model biases at sunspot maximum
A previous study (Pardini C., Anselmo L, Moe K., Moe M.M., Drag and energy accommodation coefficients during sunspot maximum, Adv. Space Res., 2009, doi:10.1016/j.asr.2009.08.034), including ten satellites with altitudes between 200 and 630 km, has yielded values for the energy accommodation coefficient as well as for the physical drag coefficient as a
Pardini, Carmen [1] +2 more
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