A framework for estimating spherical vector fields using localized basis functions and its application to SuperDARN data processing

• 資料種別: 記事
• タイトル: A framework for estimating spherical vector fields using localized basis functions and its application to SuperDARN data processing
• 著者・編者: S. Nakano; T. Hori; K. Seki
• 出版事項: 日本 : Springer Nature
• 出版年月日等: 2020-04-07
• 出版年（W3CDTF）: 2020-04-07
• タイトル（掲載誌）: EPS : Earth, Planets and Space
• 巻号年月日等（掲載誌）: 72(46)
• 掲載巻: 72(46)
• ISSN（掲載誌）: 1880-5981
• ISSN-L（掲載誌）: 1343-8832
• 本文の言語コード: eng
• DOI: 10.1186/s40623-020-01168-4; https://doi.org/10.1186/s40623-020-01168-4
• 国立国会図書館永続的識別子: info:ndljp/pid/11520500; https://dl.ndl.go.jp/pid/11520500
• コレクション（共通）: 障害者向け資料
• コレクション（障害者向け資料：レベル1）: テキストデータ
• コレクション（個別）: 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他; https://dl.ndl.go.jp/collections/B00035
• 収集根拠: オンライン資料収集制度
• 受理日（W3CDTF）: 2020-08-03T12:00:21+09:00
• 保存日（W3CDTF）: 2020-08-03
• 記録形式（IMT）: application/pdf
• オンライン閲覧公開範囲: 国立国会図書館内限定公開
• デジタル化資料送信: 図書館・個人送信対象外
• 遠隔複写可否（NDL）: 可
• 掲載誌（URI）: https://earth-planets-space.springeropen.com/articles
• 掲載誌（国立国会図書館永続的識別子）: info:ndljp/pid/11467692; https://dl.ndl.go.jp/pid/11467692
• 連携機関・データベース: 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

• 要約等: コレクション : 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
• DOI: 10.1186/s40623-020-01168-4; https://doi.org/10.1186/s40623-020-01168-4
• オンライン閲覧公開範囲: インターネット公開
• 関連情報（URI）: http://id.ndl.go.jp/digimeta/11520500; https://dl.ndl.go.jp/pid/11520500; http://link.springer.com/content/pdf/10.1186/s40623-020-01168-4.pdf; http://link.springer.com/article/10.1186/s40623-020-01168-4/fulltext.html
• 参照: Machine Learning‐Based Emulator for the Physics‐Based Simulation of Auroral Current System; https://cir.nii.ac.jp/crid/1360021391872648960; Machine learning emulator for physics-based prediction of ionospheric potential response to solar wind variations; https://cir.nii.ac.jp/crid/1360584340723921408
• 参照: Theory, Modeling, and Integrated studies in the Arase (ERG) project; https://cir.nii.ac.jp/crid/1050564288161077632; Substorm‐Associated Ionospheric Flow Fluctuations During the 27 March 2017 Magnetic Storm: SuperDARN‐Arase Conjunction; https://cir.nii.ac.jp/crid/1050845763743998464; Constructing valid spatial processes on the sphere using kernel convolutions; https://cir.nii.ac.jp/crid/1360292620834307968; Mesoscale and large‐scale variability in high‐latitude ionospheric convection: Dominant modes and spatial/temporal coherence; https://cir.nii.ac.jp/crid/1360574093822998272; An Introduction to Empirical Bayes Data Analysis; https://cir.nii.ac.jp/crid/1360855568863513344; High‐spatial‐resolution velocity measurements derived using Local Divergence‐Free Fitting of SuperDARN observations; https://cir.nii.ac.jp/crid/1361137045663489408; Large‐scale imaging of high‐latitude convection with Super Dual Auroral Radar Network HF radar observations; https://cir.nii.ac.jp/crid/1361418518833961600; Approximation and Radial-Basis-Function Networks; https://cir.nii.ac.jp/crid/1361418520538492672; SuperDARN assimilative mapping; https://cir.nii.ac.jp/crid/1361699993717457792; DARN/SuperDARN; https://cir.nii.ac.jp/crid/1361699993870673920; Separation and Quantification of Ionospheric Convection Sources: 1. A New Technique; https://cir.nii.ac.jp/crid/1361981469851826688; An improved model of ionospheric electric potentials including substorm perturbations and application to the Geospace Environment Modeling November 24, 1996, event; https://cir.nii.ac.jp/crid/1362262943840710016; Universal Approximation Using Radial-Basis-Function Networks; https://cir.nii.ac.jp/crid/1362544419867361152; Empirical models of high-latitude electric fields; https://cir.nii.ac.jp/crid/1362544420117400704; Local determination of ionospheric plasma convection from coherent scatter radar data using the SECS technique; https://cir.nii.ac.jp/crid/1362825893924391424; Mapping electrodynamic features of the high‐latitude ionosphere from localized observations: Technique; https://cir.nii.ac.jp/crid/1362825896114120192; Statistical patterns of high‐latitude convection obtained from Goose Bay HF radar observations; https://cir.nii.ac.jp/crid/1363107368923528576; Parametric Empirical Bayes Inference: Theory and Applications; https://cir.nii.ac.jp/crid/1363107369189329664; Statistical Patterns of Ionospheric Convection Derived From Mid‐latitude, High‐Latitude, and Polar SuperDARN HF Radar Observations; https://cir.nii.ac.jp/crid/1363388844555508864; Deriving Global Convection Maps From SuperDARN Measurements; https://cir.nii.ac.jp/crid/1363388846162042752; Spherical cap harmonic analysis of Super Dual Auroral Radar Network (SuperDARN) observations for generating maps of ionospheric convection; https://cir.nii.ac.jp/crid/1363670321286222592; Separation and Quantification of Ionospheric Convection Sources: 2. The Dipole Tilt Angle Influence on Reverse Convection Cells During Northward IMF; https://cir.nii.ac.jp/crid/1363951793580041728; Empirical high‐latitude electric field models; https://cir.nii.ac.jp/crid/1364233269311889920; Ionospheric disturbance magnetic field continuation from the ground to the ionosphere using spherical elementary current systems; https://cir.nii.ac.jp/crid/1390282681485826432; Review of the accomplishments of midlatitude Super Dual Auroral Radar Network (SuperDARN) HF radars; https://cir.nii.ac.jp/crid/2051151842044692096
• 参照（URI）: https://cir.nii.ac.jp/crid/1371131421816278538
• 連携機関・データベース: 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• 提供元機関・データベース: 雑誌記事索引データベース; https://ndlsearch.ndl.go.jp; Crossref; https://www.crossref.org; 科学研究費助成事業データベース; https://kaken.nii.ac.jp/ja
• 書誌ID（NDLBibID）: 11520500; http://id.ndl.go.jp/bib/11520500