Plausible Model Improvement Utilizing the Information Obtained from Data Assimilation

被引：0

作者：

Yokoyama, Masayuki ^{[1
,2
,3
]}

Morishita, Yuya ^{[4
]}

Murakami, Sadayoshi ^{[4
]}

机构：

[1] Natl Inst Nat Sci, Natl Inst Fus Sci, Rokkasho Res Ctr, Rokkasho, Aomori 0393212, Japan

[2] Grad Univ Adv Studies, SOKENDAI, Kanagawa 2400115, Japan

[3] Res Org Informat & Syst, Inst Stat Math, Tachikawa 1908562, Japan

[4] Kyoto Univ, Dept Nucl Engn, Kyoto 6158540, Japan

来源：

PLASMA AND FUSION RESEARCH | 2024年 / 19卷

关键词：

model improvement; data assimilation; multivariate regression; information criterion;

D O I：

10.1585/pfr.19.1203006

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

Data assimilation technique implemented in fusion research has enhanced the modeling capability. The quantitative "gap" between the original model (typically based on physics considerations and/or empirical approach) and the optimized model (obtained through data assimilation) can be utilized to improve the original model to align with the measured data. Such a procedure is proposed here by taking the model of the heat diffusivity of plasmas as an example. It successfully elucidates relevant parameters recognized in the

引用

页数：2

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