@conference{
author = "Brajović, Ljiljana and Malović, Miodrag",
year = "2022",
abstract = "Gravity satellite missions measurement data are primarily intended for use in
the estimation of an accurate model of Earth’s gravity field. The satellites’ almost
circular orbits with polar or near-polar inclination of the orbital planes, and low
altitude (between 250 and 500 km), enable almost full coverage of the globe. Orbit
tracking by precise high orbiting navigation satellite system provides the data about
three-dimensional satellite position and its deviations. Precision accelerometers on
the satellites extend the ability to monitor non-gravitational forces acting on them
continuously. One of these forces, atmospheric drag along orbits, can be derived
from the orbit track positions and their derivatives, and also from the precise
accelerometer measurements, so it can be used for atmospheric mass density
determination. On the other hand, the density of the atmosphere and its main
constituents can be derived from the spectroscopic measurements. One of the
examples is thermospheric mass density determination using neutral mass
spectrometers on earlier satellite missions. Measurement of the Earth’s far
ultraviolet (FUV) dayglow is used to infer number density profiles of N2, O, and
O2. Combination of accelerometers measurements and spectroscopic data is the
foundation of two widely used empirical models of thermospheric mass density.
This contribution describes the basic measurements on gravity satellite missions
and atmospheric drag estimation, gives the comparison and combination of
obtained data with spectrometric measurements of atmospheric density, and lists
potential improvements using the data from the recently launched satellite gravity
missions.",
publisher = "Institute of Physics Belgrade, Pregrevica 118, 11080 Belgrade Serbia",
journal = "BOOK OF ABSTRACTS of IV Meeting on Astrophysical Spectroscopy - A&M DATA - Atmosphere May 30 to June 2, 2022, Fruška Gora, Serbia",
title = "Gravity satellite missions measurement data for atmospheric density estimation",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2822"
}
