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\author[1]{Erricos Pavlis}%
\author[2]{V Luceri}%
\author[2]{A Basoni}%
\author[2]{D Sarrocco}%
\author[3]{M Kuzmicz-Cieslak}%
\author[1]{K Evans}%
\author[4]{G Bianco}%
\affil[1]{GESTAR II/UMBC, MD, USA}%
\affil[2]{e-GEOS S.p.A./CGS Matera, Italy}%
\affil[3]{GESTAR II, UMBC, MD, USA}%
\affil[4]{Agenzia Spaziale Italiana, CGS -Matera}%


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  \date{June 17, 2024}


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\begin{abstract}
The ILRS contribution to ITRF2020 is a time series of weekly/bi-weekly
SINEXs with station position estimates and EOP, from 7-day arcs (1993.0
-- 2021.0) and 15-day arcs over 1983.0- 1993.0. Each solution was
obtained as the combination of loosely constrained individual solutions
from the seven ILRS Analysis Centers: ASI, BKG, DGFI, ESA, GFZ, JCET and
NSGF. Everyone followed strict standards agreed within the ILRS Analysis
Standing Committee (ASC) and used SLR data from LAGEOS, LAGEOS-2,
Etalon-1 and Etalon-2, (LAGEOS-only from 1983 to 1992). The ILRS ASC
devised an innovative approach in handling systematic errors in the
network, never before utilized. After a 5-year pilot-project documented
in Luceri et al., (2019). The~Station Systematic Error Monitoring~PP
(SSEM), delivered a series of long-term mean bias estimates for each
station, the time intervals of applicability and their statistics. They
were derived from freely adjusted station position and EOP solutions for
the period 1993.0 to 2020.5, using the latest satellite CoG model. The
simultaneous estimation of the station heights and measurement biases
resulted in a self-consistent set of weekly bias estimates for each
site. Breaks and ``jumps'' were used to decne the periods of
applicability and to calculate the mean bias and its standard deviation.
The mean biases were pre-applied in the re- analysis, limiting the
remaining jitter of the bias to negligible level. This approach
strengthened the estimation process without a compromise of the cnal
results' accuracy. As a result, the ILRS contribution to ITRF2020
minimized the scale difference between SLR and VLBI to below 2 mm
(ITRF2014 \textasciitilde{}9 mm). We present an overview of the
procedures, models, the improvement over previous ILRS products,
focusing especially on the Core ILRS sites, and an overview of how the
new model has been implemented in support of the ILRS ogcial products.%
\end{abstract}%



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