NRLMSIS 2.0: A whole‐atmosphere empirical model of temperature and neutral species densities

JT Emmert, DP Drob, JM Picone… - Earth and Space …, 2021 - Wiley Online Library
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 …

Evaluation of empirical atmospheric models using Swarm-C satellite data

L Yin, L Wang, W Zheng, L Ge, J Tian, Y Liu, B Yang… - Atmosphere, 2022 - mdpi.com
Swarm-C satellite, a new instrument for atmospheric study, has been the focus of many
studies to evaluate its usage and accuracy. This paper takes the Swarm-C satellite as a …

[HTML][HTML] Satellite drag coefficient modeling for thermosphere science and mission operations

PM Mehta, SN Paul, NH Crisp, PL Sheridan… - Advances in Space …, 2023 - Elsevier
Satellite drag modeling remains the largest source of uncertainty affecting space operations
in low Earth orbit. The uncertainty stems from inaccurate models for mass density and drag …

[HTML][HTML] Lower-thermosphere–ionosphere (LTI) quantities: current status of measuring techniques and models

M Palmroth, M Grandin, T Sarris… - Annales …, 2021 - angeo.copernicus.org
The lower-thermosphere–ionosphere (LTI) system consists of the upper atmosphere and the
lower part of the ionosphere and as such comprises a complex system coupled to both the …

Machine‐learned HASDM thermospheric mass density model with uncertainty quantification

RJ Licata, PM Mehta, WK Tobiska… - Space Weather, 2022 - Wiley Online Library
A thermospheric neutral mass density model with robust and reliable uncertainty estimates
is developed based on the Space Environment Technologies (SET) High Accuracy Satellite …

Aerodynamic drag analysis and reduction strategy for satellites in Very Low Earth Orbit

Y Jiang, J Zhang, P Tian, T Liang, Z Li… - Aerospace Science and …, 2023 - Elsevier
Research interest in operating satellites in Very Low Earth Orbit (VLEO) is growing due to
their potential applications for high quality Earth observation and telecommunication. In …

Thermosphere densities derived from Swarm GPS observations

J van den IJssel, E Doornbos, E Iorfida, G March… - Advances in Space …, 2020 - Elsevier
After the detection of many anomalies in the Swarm accelerometer data, an alternative
method has been developed to determine thermospheric densities for the three-satellite …

Uncertainty quantification techniques for data-driven space weather modeling: thermospheric density application

RJ Licata, PM Mehta - Scientific Reports, 2022 - nature.com
Abstract Machine learning (ML) has been applied to space weather problems with
increasing frequency in recent years, driven by an influx of in-situ measurements and a …

Unprecedented hemispheric asymmetries during a surprise ionospheric storm: A game of drivers

E Astafyeva, MS Bagiya, M Förster… - Journal of Geophysical …, 2020 - Wiley Online Library
The geomagnetic storm occurred on 25–26 August 2018 as a surprise to forecasters. The
arrival of a weak coronal mass ejection did not show a sudden impulse in the magnetic data; …

Gas-surface interactions modelling influence on satellite aerodynamics and thermosphere mass density

G March, J Van Den Ijssel, C Siemes… - Journal of Space …, 2021 - swsc-journal.org
The satellite acceleration data from the CHAMP, GRACE, GOCE, and Swarm missions
provide detailed information on the thermosphere density over the last two decades. Recent …