Results 51 to 60 of about 2,463,978 (199)

An empirical model of long-term thermospheric density change

open access: yes, 2012
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?

open access: yesGeophysical Research Letters
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

open access: yesEarth and Space Science, 2021
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

open access: yesEarth and Space Science, Volume 13, Issue 9, September 2026.
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

Improving the estimation of thermospheric neutral density via two-step assimilation of in situ neutral density into a numerical model

open access: yesEarth, Planets and Space, 2022
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

Impacts of the GDS 2018 Global Dust Storm on Martian Ionosphere‐Thermosphere Coupling via Atmospheric Tides

open access: yesJournal of Geophysical Research: Space Physics, Volume 131, Issue 9, September 2026.
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

open access: yesSpace Weather
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

open access: yesSpace Weather, 2022
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

Robust Short‐Term Forecasting of Thermospheric Density and Orbit Prediction Using an Interpretable iTransformer Model

open access: yesSpace Weather, Volume 24, Issue 9, September 2026.
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

open access: yesSpace Weather
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

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