TL;DR
This paper demonstrates that dynamic time warping significantly improves the accuracy of solar-wind boundary conditions derived from in-situ 1-AU observations for outer-heliosphere simulations.
Contribution
It introduces the application of dynamic time warping to enhance the interpolation of solar-wind data from 1 AU for outer-heliosphere modeling, outperforming traditional methods.
Findings
DTW reduces errors in solar-wind input data by an order of magnitude.
Corotation methods introduce discontinuities and large errors.
Dynamic time warping offers a promising approach for better boundary conditions.
Abstract
The structure and dynamics of the magnetospheres of the outer planets, particularly Saturn and Jupiter, have been explored both through remote and in-situ observations. Interpreting these observations often necessitates simultaneous knowledge of the solar-wind conditions impinging on the magnetosphere. Without an available upstream monitor, solar-wind context is typically provided using models initiated with either the output of magnetogram-constrained coronal models or, more commonly, in-situ observations from 1 AU. While 1-AU observations provide a direct measure of solar wind conditions, they are single-point observations and thus require interpolation to provide inputs to outer-heliosphere solar-wind models. In this study we test the different interpolation methods using synthetic 1-AU observations of time-evolving solar-wind structure. The simplest method is "corotation", which…
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