Results 51 to 60 of about 2,463,978 (199)
An empirical model of long-term thermospheric density change
Predicting the positions of satellites in Low Earth Orbit (LEO) requires a comprehensive understanding of the dynamic nature of the atmosphere. For objects in LEO the most significant orbit perturbation is atmospheric drag, which is a function of the ...
Saunders, A.
core +1 more source
Do Migrating Semidiurnal Tidal Winds From the Lower Atmosphere Control Thermospheric Winds?
Lower atmospheric tides are important for driving the thermospheric and ionospheric structure. The effects of different lower atmospheric migrating semidiurnal tidal fields of neutral density, temperature, and winds on the thermospheric winds are ...
Chen Wu, Aaron J. Ridley
doaj +1 more source
NRLMSIS 2.0: A Whole‐Atmosphere Empirical Model of Temperature and Neutral Species Densities
NRLMSIS® 2.0 is an empirical atmospheric model that extends from the ground to the exobase and describes the average observed behavior of temperature, eight species densities, and mass density via a parametric analytic formulation.
J. T. Emmert +16 more
doaj +1 more source
Quasi 6‐Day Wave Variability in the Thermosphere and Ionosphere: Observations and Modeling
Abstract Satellite observations of the upper mesosphere and lower thermosphere from TIMED‐SABER and ICON‐MIGHTI reveal a clear Quasi 6‐Day Wave (Q6DW) event in the winds and temperatures in this region. This Q6DW event persists across multiple data sets throughout the middle‐to‐upper thermosphere and the F‐region ionosphere, including GOLD disk ...
Oluwafisayo P. Owolabi +2 more
wiley +1 more source
Neutral thermospheric density is an essential quantity required for precise orbit determination of satellites, collision avoidance of satellites, re-entry prediction of satellites or space debris, and satellite lifetime assessments.
Armin Corbin, Jürgen Kusche
doaj +1 more source
Abstract In this study, we investigate the ionospheric and thermospheric responses to the 2018 Mars global dust storm (GDS 2018) by examining atmosphere–ionosphere coupling through tidal structures. Using Mars Atmosphere and Volatile EvolutioN Neutral Gas and Ion Mass Spectrometer observations, we analyze tidal amplitudes, phases, and inter‐species ...
Noritsugu Nagata +5 more
wiley +1 more source
Orbital Decay of the Three SNIPE CubeSats During the Super Geomagnetic Storm in May 2024
The Mother's Day (Gannon) geomagnetic superstorm of May 2024 produced extreme thermospheric heating and expansion, resulting in enhanced atmospheric drag on low Earth orbiting (LEO) satellites.
Hosub Song +8 more
doaj +1 more source
Thermospheric Conditions Associated With the Loss of 40 Starlink Satellites
We analyzed far ultraviolet data from Defense Meteorological Satellite Program (DMSP)/Special Sensor Ultraviolet Spectrographic Imager (SSUSI) and Thermosphere Ionosphere Mesosphere Energetics and Dynamics (TIMED)/Global Ultraviolet Imager (GUVI) and ...
Yongliang Zhang +3 more
doaj +1 more source
Abstract Accurate short‐term forecasting of thermospheric mass density is crucial for satellite operations. However, achieving high‐precision predictions remains a significant challenge. In this study, we develop an iTransformer framework that forecasts thermospheric density over the next 24 hr using observations from the preceding 24 hr. Using density
Mingyi Zhang +7 more
wiley +1 more source
Improving Thermospheric Density Predictions in Low‐Earth Orbit With Machine Learning
Thermospheric density is one of the main sources of uncertainty in the estimation of satellites' position and velocity in low‐Earth orbit. This has negative consequences in several space domains, including space traffic management, collision avoidance ...
Giacomo Acciarini +6 more
doaj +1 more source

