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\begin{document}

\title{ANCHOR: Global Parametrized Ionospheric Data Assimilation}



\author[1]{Victoriya Forsythe}%
\author[2]{Sarah E McDonald}%
\author[2]{Kenneth F. Dymond}%
\author[1]{Bruce Aaron Fritz}%
\author[3]{Angeline Gail Burrell}%
\author[2]{Katherine Anne Zawdie}%
\author[4]{Douglas Drob}%
\author[2]{Meghan Burleigh}%
\author[5]{Dustin A Hickey}%
\author[6]{Christopher Metzler}%
\author[2]{David Derieg Kuhl}%
\author[7]{Daniel Hodyss}%
\author[8]{Joseph Hughes}%
\affil[1]{U.S. Naval Research Laboratory}%
\affil[2]{Naval Research Laboratory}%
\affil[3]{US Naval Research Laboratory}%
\affil[4]{Naval Research Lab}%
\affil[5]{United States Naval Research Laboratory}%
\affil[6]{NRL}%
\affil[7]{Marine Meteorology Division}%
\affil[8]{Orion Space Solutions}%


\vspace{-1em}



  
  \date{June 14, 2024}


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\begin{abstract}
ANCHOR is a novel assimilative model developed at the U.S. Naval
Research Laboratory. It extracts ionospheric parameters from RO and
ionosonde data and assimilates them as point measurements into the maps
of the background parameters using Kalman Filter approach. This paper
introduces the ANCHOR algorithm, discusses its coordinate system and
background, explains the background covariance formation, discusses the
extraction of the ionospheric parameters from the data and the
assimilation process, and, finally, shows the results of the observing
system simulation experiment.%
\end{abstract}%



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