Mon Oct 13, F. Flechtner
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Innerkofler, Josef, Kirchengast, Gottfried, Schwärz, Marc, Pock, Christian, Jäggi, Adrian, Andres, Yago, and Marquardt, Christian, 2020. Precise Orbit Determination for Climate Applications of GNSS Radio Occultation including Uncertainty Estimation. Remote Sensing, 12(7):1180, doi:10.3390/rs12071180.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2020RemS...12.1180I,
author = {{Innerkofler}, Josef and {Kirchengast}, Gottfried and {Schw{\"a}rz}, Marc and {Pock}, Christian and {J{\"a}ggi}, Adrian and {Andres}, Yago and {Marquardt}, Christian},
title = "{Precise Orbit Determination for Climate Applications of GNSS Radio Occultation including Uncertainty Estimation}",
journal = {Remote Sensing},
keywords = {LEO satellites, precise orbit determination, radio occultation, satellite laser ranging, CHAMP, GRACE, Metop, uncertainty estimation, validation, climate applications},
year = 2020,
month = apr,
volume = {12},
number = {7},
eid = {1180},
pages = {1180},
abstract = "{Global Navigation Satellite System (GNSS) Radio Occultation (RO) is a
highly valuable remote sensing technique for probing the Earth's
atmosphere, due to its global coverage, high accuracy, long-term
stability, and essentially all-weather capability. In order to
ensure the highest quality of essential climate variables
(ECVs), derived from GNSS signal tracking by RO satellites in
low Earth orbit (LEO), the orbit positions and velocities of the
GNSS transmitter and LEO receiver satellites need to be
determined with high and proven accuracy and reliability.
Wegener Center's new Reference Occultation Processing System
(rOPS) hence aims to integrate uncertainty estimation at all
stages of the processing. Here we present a novel setup for
precise orbit determination (POD) within the rOPS, which
routinely and in parallel performs the LEO POD with the two
independent software packages Bernese GNSS software (v5.2) and
NAPEOS (v3.3.1), employing two different GNSS orbit data
products. This POD setup enables mutual consistency checks of
the calculated orbit solutions and is used for position and
velocity uncertainty estimation, including estimated systematic
and random uncertainties. For LEOs enabling laser tracking we
involve position uncertainty estimates from satellite laser
ranging. Furthermore, we intercompare the LEO orbit solutions
with solutions from other leading orbit processing centers for
cross-validation. We carefully analyze multi-month, multi-
satellite POD result statistics and find a strong overall
consistency of estimates within LEO orbit uncertainty target
specifications of 5 cm in position and 0.05 mm/s in velocity for
the CHAMP, GRACE-A, and Metop-A/B missions. In 92\% of the days
investigated over two representative 3-month periods (July to
September in 2008 and 2013) these POD uncertainty targets, which
enable highly accurate climate-quality RO processing, are
satisfied. The moderately higher uncertainty estimates found for
the remaining 8\% of days ({\ensuremath{\sim}}5-15 cm) result in
increased uncertainties of RO-retrieved ECVs. This allows
identification of RO profiles of somewhat reduced quality, a
potential benefit for adequate further use in climate monitoring
and research.}",
doi = {10.3390/rs12071180},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020RemS...12.1180I},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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