Inversions for Deep Solar Meridional Flow Using Spherical Born Kernels
Vincent G. A. B\"oning, Markus Roth, Jason Jackiewicz, Shukur Kholikov

TL;DR
This study improves the inversion of solar meridional flow beneath the Sun's surface by using the Born approximation and full covariance matrices, revealing complex flow structures and confirming a shallow return flow around 0.9 solar radii.
Contribution
It introduces the use of spherical Born kernels and refined covariance-based inversions to better estimate deep solar meridional flows, addressing previous methodological limitations.
Findings
Confirmed a shallow return flow at about 0.9 R_sun.
Discovered multiple stacked flow cells in the southern hemisphere with lower SVD thresholds.
Showed that earlier assumptions underestimated inversion errors by a factor of 2-4.
Abstract
The solar meridional flow is a crucial ingredient in modern dynamo theory. Seismic estimates of this flow have, however, been contradictory in deeper layers below about . Results from time-distance helioseismology have so far been obtained using the ray approximation. Here, we perform inversions using the Born approximation. The initial result is similar to the result previously obtained by Jackiewicz et al. (2015) using ray kernels while using the same set of GONG data and the SOLA inversion technique. However, we show that the assumption of uncorrelated measurements used in earlier studies may lead to inversion errors being underestimated by a factor of about two to four. In a second step, refined inversions are performed using the full covariance matrix and a regularization for cross-talk. As the results are found to depend on the threshold used in the singular value…
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