Thu Apr 10, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Schreiter, Lucas, Brack, Andreas, Männel, Benjamin, Schuh, Harald, Arnold, Daniel, and Jäggi, Adrian, 2024. Imaging of the Ionosphere and Plasmasphere Using GNSS Slant TEC Obtained From LEO Satellites. Radio Science, 59(12):2024RS008058, doi:10.1029/2024RS008058.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024RaSc...5908058S,
author = {{Schreiter}, Lucas and {Brack}, Andreas and {M{\"a}nnel}, Benjamin and {Schuh}, Harald and {Arnold}, Daniel and {J{\"a}ggi}, Adrian},
title = "{Imaging of the Ionosphere and Plasmasphere Using GNSS Slant TEC Obtained From LEO Satellites}",
journal = {Radio Science},
keywords = {ionosphere, GNSS, LEO satellites, inversion, signal propagation, model estimation},
year = 2024,
month = dec,
volume = {59},
number = {12},
pages = {2024RS008058},
abstract = "{Satellites with dual-frequency Global Navigation Satellite Systems
(GNSS) receivers can measure integrated electron density, known
as slant Total Electron Content (sTEC), between the receiver and
transmitter. Precise relative variations of sTEC are achievable
using phase measurements on L1 and L2 frequencies, yielding an
accuracy of around 0.1 TECU or better. However, CubeSats like
Spire LEMUR, with simpler setups (e.g., patch antennas) and code
noise in the order of several meters, face limitations in
accuracy. Their precision, determined by phase observations,
remains in the 0.1{\textendash}0.3 TECU range. With a
substantial number of observations and comprehensive coverage of
lines of sight between Low Earth Orbit (LEO) and GNSS
satellites, global electron density can be reconstructed from
sTEC measurements. Utilizing 27 satellites from various
missions, including Swarm, Gravity Recovery And Climate
Experiment Follow-On, Jason-3, Sentinel 1/2/3, COSMIC-2, and
Spire CubeSats, a cubic B-spline expansion in magnetic latitude,
magnetic local time, and altitude is employed to model the
logarithmic electron density. Hourly snapshots of the three-
dimensional electron density are generated, adjusting the model
parameters through non-linear least squares based on sTEC
observations. Results demonstrate that including Spire
significantly enhances estimates, showcasing exceptional
agreement with in situ observations from Swarm and Defense
Meteorological Satellite Program LEO satellites. The model
outperforms contemporary climatological models, such as
International Reference Ionosphere (IRI)-2020 and the neural
network-based NET model. Validation efforts include comparisons
with ground-based sTEC measurements, space-based vertical TEC
from Jason-3 altimetry, and global TEC maps from the Center for
Orbit Determination in Europe and the German Research Center for
Geosciences (GFZ).}",
doi = {10.1029/2024RS008058},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024RaSc...5908058S},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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