Recent Developments in Helioseismic Analysis Methods and Solar Data Assimilation
Ariane Schad, Laurene Jouve, Tom L. Duvall Jr., Markus Roth, Sergei V., Vorontsov

TL;DR
This paper reviews recent advances in helioseismic analysis techniques and solar data assimilation, highlighting new methods for understanding and predicting the Sun's magnetic activity cycle.
Contribution
It introduces recent developments in time-distance and global helioseismology and explores the application of data assimilation to solar data for improved solar cycle predictions.
Findings
Enhanced helioseismic analysis methods developed
Application of data assimilation to solar data demonstrated
Potential for improved solar activity cycle prediction
Abstract
We review recent advances and results in enhancing and developing helioseismic analysis methods and in solar data assimilation. In the first part of this paper we will focus on selected developments in time-distance and global helioseismology. In the second part, we review the application of data assimilation methods on solar data. Relating solar surface observations as well as helioseismic proxies with solar dynamo models by means of the techniques from data assimilation is a promising new approach to explore and to predict the magnetic activity cycle of the Sun.
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