论文标题

部分可观测时空混沌系统的无模型预测

$IRIS^{2+}$: A comprehensive database of stratified thermodynamic models in the low solar atmosphere

论文作者

Dalda, Alberto Sainz, Agrawal, Aaryan, De Pontieu, Bart, Gosic, M.

论文摘要

储层计算是预测湍流的有力工具,其简单的架构具有处理大型系统的计算效率。然而,其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间,然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用,该系统模拟了湍流的若干特征。我们表明,使用径向基函数作为非线性投影器,即使只有部分观测并且不知道控制方程,也能稳健地捕捉复杂的系统非线性。最后,我们表明,当测量稀疏、不完整且带有噪声,甚至控制方程变得不准确时,我们的网络仍然可以产生相当准确的预测,从而为实际湍流系统的无模型预测铺平了道路。

Our knowledge of the low solar atmosphere, i.e., the photosphere and chromosphere, is based on the knowledge gained from the observations and the theoretical and numerical modeling of these layers. In this sense, the thermodynamical and magnetic semi-empirical models of the solar atmosphere have significantly contributed to the advance in the understanding of the physics of the Sun. In the past, many of these models have been used as a reference that helps us to, e.g., constrain the theoretical and numerical modeling, or to verify the goodness of physical parameters obtained from the inversion of the spectral lines. Nevertheless, semi-empirical models are quite limited by the assumptions that are inherent to the approach and do not necessarily provide an accurate view of the instantaneous and local thermodynamic conditions in the solar atmosphere. In this work, we provide an extensive collection of thermodynamic model atmospheres for active regions (ARs) obtained from the simultaneous inversion of 6 lines sensitive to changes in the thermodynamical conditions in the chromosphere, and another 6 lines sensitive to changes in the thermodynamical conditions in the photospere. These inversions were made using 320 representative profiles (RP) obtained by clustering the profiles in the umbra, penumbra, pore-like, plage, and surrounding quiet-sun in 126 active regions. Due to the simultaneous inversion of the selected lines, the resulting representative model atmosphere (RMA) samples the thermodynamics from the bottom of the photosphere to the top of the chromosphere. As a result, this database, named $IRIS^{2+}$ and formed by $40,320$ RP-RMA pairs, represents the most comprehensive collection of stratified-in-optical-depth thermodynamic models of the low solar atmosphere.

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