Numerical forecast of the upper atmosphere and ionosphere using GAIA

• Material Type: 記事
• Title: Numerical forecast of the upper atmosphere and ionosphere using GAIA
• Author/Editor: Chihiro Tao; Hidekatsu Jin; Yasunobu Miyoshi
• Publication, Distribution, etc.: 日本 : Springer Nature
• Publication Date: 2020-11-24
• Publication Date (W3CDTF): 2020-11-24
• Periodical title: EPS : Earth, Planets and Space
• No. or year of volume/issue: 72(178)
• Volume: 72(178)
• ISSN (Periodical Title): 1880-5981
• ISSN-L (Periodical Title): 1343-8832
• Text Language Code: eng
• DOI: 10.1186/s40623-020-01307-x; https://doi.org/10.1186/s40623-020-01307-x
• Persistent ID (NDL): info:ndljp/pid/11616263; https://dl.ndl.go.jp/pid/11616263
• Collection: 障害者向け資料
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• Collection (particular): 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
• Acquisition Basis: オンライン資料収集制度
• Date Accepted (W3CDTF): 2021-01-13T14:13:05+09:00
• Date Captured (W3CDTF): 2021-01-13
• Format (IMT): application/pdf
• Access Restrictions: 国立国会図書館内限定公開
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• Periodical Title (URI): https://earth-planets-space.springeropen.com/articles
• Periodical Title (Persistent ID (NDL)): info:ndljp/pid/11467692; https://dl.ndl.go.jp/pid/11467692
• Data Provider (Database): 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

• Summary, etc.: 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/s40623-020-01307-x; https://doi.org/10.1186/s40623-020-01307-x
• Access Restrictions: インターネット公開
• Related Material (URI): http://id.ndl.go.jp/digimeta/11616263; https://dl.ndl.go.jp/pid/11616263; http://link.springer.com/content/pdf/10.1186/s40623-020-01307-x.pdf; http://link.springer.com/article/10.1186/s40623-020-01307-x/fulltext.html
• Is Referenced By: Effect of the mirror force on the collision rate due to energetic electron precipitation: Monte Carlo simulations; https://cir.nii.ac.jp/crid/1360022304972101760; Unexpected space weather causing the reentry of 38 Starlink satellites in February 2022; https://cir.nii.ac.jp/crid/1360580229797360384; Numerical prediction of sporadic E layer occurrence using GAIA; https://cir.nii.ac.jp/crid/2050025942148526848; Special issue "Solar-terrestrial environment prediction : toward the synergy of science and forecasting operation of space weather and space climate"; https://cir.nii.ac.jp/crid/2050307417129948032; PSTEP : project for solar–terrestrial environment prediction; https://cir.nii.ac.jp/crid/2050588892104455680
• References: Global distribution of neutral wind shear associated with sporadic <i>E</i> layers derived from GAIA; https://cir.nii.ac.jp/crid/1360004229806302976; A new ionospheric storm scale based on TEC and <i>f_oF</i>₂ statistics; https://cir.nii.ac.jp/crid/1360004229807329664; Improved predictability of stratospheric sudden warming events in an atmospheric general circulation model with enhanced stratospheric resolution; https://cir.nii.ac.jp/crid/1360011143659028096; A Deep Learning-Based Approach to Forecast Ionospheric Delays for GPS Signals; https://cir.nii.ac.jp/crid/1360011144279581952; Vertical connection from the tropospheric activities to the ionospheric longitudinal structure simulated by a new Earth's whole atmosphere-ionosphere coupled model; https://cir.nii.ac.jp/crid/1360565166661744640; Response of migrating tides to the stratospheric sudden warming in 2009 and their effects on the ionosphere studied by a whole atmosphere‐ionosphere model GAIA with COSMIC and TIMED/SABER observations; https://cir.nii.ac.jp/crid/1360846641639781888; On the difference between real-time and research simulations with CTIPe; https://cir.nii.ac.jp/crid/1361418518653976192; Using a neural network to make operational forecasts of ionospheric variations and storms at Kokubunji, Japan; https://cir.nii.ac.jp/crid/1362544419059380736; Day‐to‐day variations of migrating diurnal tide simulated by a GCM from the ground surface to the exobase; https://cir.nii.ac.jp/crid/1362544420000762496; Multimodel comparison of the ionosphere variability during the 2009 sudden stratosphere warming; https://cir.nii.ac.jp/crid/1362544421194947456; A real‐time run of the Coupled Thermosphere Ionosphere Plasmasphere Electrodynamics (CTIPe) model; https://cir.nii.ac.jp/crid/1363107368549476608; An Artificial Neural Network‐Based Ionospheric Model to Predict <i>N</i>_<i>m</i><i>F</i>₂ and <i>h</i>_<i>m</i><i>F</i>₂ Using Long‐Term Data Set of FORMOSAT‐3/COSMIC Radio Occultation Observations: Preliminary Results; https://cir.nii.ac.jp/crid/1363388846211209344; Predicting Sudden Stratospheric Warming 2018 and Its Climate Impacts With a Multimodel Ensemble; https://cir.nii.ac.jp/crid/1363951795196299136; EUVAC: A solar EUV Flux Model for aeronomic calculations; https://cir.nii.ac.jp/crid/1364233269718029440; Development and Validation of the Whole Atmosphere Community Climate Model With Thermosphere and Ionosphere Extension (WACCM‐X 2.0); https://cir.nii.ac.jp/crid/1364233270645533824; The JRA-55 Reanalysis: Representation of Atmospheric Circulation and Climate Variability; https://cir.nii.ac.jp/crid/1390001206503911168; Projected changes in precipitation characteristics around Japan under the global warming (in Japanese); https://cir.nii.ac.jp/crid/1390282681482119296; Morphological features and variations of temperature in the upper thermosphere simulated by a whole atmosphere GCM; https://cir.nii.ac.jp/crid/1570854176182818304; Daily and seasonal variations in the linear growth rate of the Rayleigh-Taylor instability in the ionosphere obtained with GAIA; https://cir.nii.ac.jp/crid/2050025942124959104
• Data Provider (Database): 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• Original Data Provider (Database): 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
• Bibliographic ID (NDL): 11616263; http://id.ndl.go.jp/bib/11616263