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

共 50 条

[1] Plausible Model Improvement Utilizing the Information Obtained from Data Assimilation
Yokoyama M.
Morishita Y.
Murakami S.
Plasma and Fusion Research, 2024, 19
[2] Ionospheric dynamics and drivers obtained from a physics-based data assimilation model
Scherliess, Ludger
Thompson, Donald C.
Schunk, Robert W.
RADIO SCIENCE, 2009, 44
[3] A Model for Addition of User Information to Sensor Data Obtained from Living Environment
Kawasaki, Hitoshi
Ohmura, Ren
Osawa, Hirotaka
Imai, Michita
CYBERNETICS AND SYSTEMS, 2010, 41 (03) : 194 - 215
[4] Parametric Model Measurement: Maximizing Information Obtained from Neuropsychological Test Data
Thomas, M. L.
Adams, K. M.
CLINICAL NEUROPSYCHOLOGIST, 2016, 30 (05) : 716 - 718
[5] Subseasonal Forecast Skill Improvement From Strongly Coupled Data Assimilation With a Linear Inverse Model
Hakim, Gregory J.
Snyder, Chris
Penny, Stephen G.
Newman, Matthew
GEOPHYSICAL RESEARCH LETTERS, 2022, 49 (11)
[6] BENEFIT OF MODELING THE OBSERVATION ERROR IN A DATA ASSIMILATION FRAMEWORK USING VEGETATION INFORMATION OBTAINED FROM PASSIVE-BASED MICROWAVE DATA
Bolten, John D.
Mladenova, Iliana E.
Crow, Wade
de Jeu, Richard
2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 5325 - 5326
[7] Toward Utilizing Similarity in Hydrologic Data Assimilation
Lee, Haksu
Shen, Haojing
Liu, Yuqiong
HYDROLOGY, 2024, 11 (11)
[8] Utilizing Structured Information from Multiple External Sources in the Context of the Multidimensional Data Model
Mertens, Matthias
Krahn, Tobias
Appelrath, H. -Juergen
BUSINESS INFORMATION SYSTEMS, BIS 2013, 2013, 157 : 88 - 99
[9] Information constraints in variational data assimilation
Kahnert, Michael
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2018, 144 (716) : 2230 - 2244
[10] On A Quadratic Information Measure for Data Assimilation
Tagade, Piyush
Ravela, Sai
2014 AMERICAN CONTROL CONFERENCE (ACC), 2014, : 598 - 603

← 1 2 3 4 5 →