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
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页数：2
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