[E] ポスター発表

セッション記号 P (宇宙惑星科学) » P-EM 太陽地球系科学・宇宙電磁気学・宇宙環境

[P-EM11] Space Weather and Space Climate

2024年5月27日(月) 17:15 〜 18:45 ポスター会場 (幕張メッセ国際展示場 6ホール)

コンビーナ:片岡龍峰(国立極地研究所)、Aronne Mary(NASA Goddard Space Flight Center)、伴場由美(国立研究開発法人　情報通信研究機構)、Pulkkinen Antti(NASA Goddard Space Flight Center)

We share the latest scientific papers to understand how the space environment changes in various time scales and to discuss how we will react via international and interdisciplinary collaborations. More specifically, welcomed papers include space climate studies to reconstruct the long-term variations; cutting-edge observational and modeling studies of space weather from the Sun to surface of the Earth; applied science such as operational space weather forecast using machine-learning techniques and hazard assessments for deep space human spaceflight activities at Moon and at Mars.

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17:15 〜 18:45

[PEM11-P01] Successes, Misses, and False Alarms in Predicting Global/Seasonal Equatorial Plasma Bubble Occurrence Rates Using the ROCSAT Data

*Shin-Yi Su¹、Hsu-Hui Ho²、Chi-Kwan Chao¹、Chao Han Liu³ (1.National Central University、2.Central Weather Bureau、3.Academia Sinica)

17:15 〜 18:45

[PEM11-P02] Multipoint spacecraft measurements of the ICME structure in October 2021

*伴場由美¹、原拓也²、片岡龍峰³、丸橋克英¹、岩井一正⁴、村上豪⁵、Sanchez-Cano Beatriz⁶、Heyner Daniel⁷、Richter Ingo⁷、Auster Hans-Ulrich⁷ (1.国立研究開発法人　情報通信研究機構、2.カリフォルニア大学バークレー校、3.国立研究開発法人　国立極地研究所、4.名古屋大学　宇宙地球環境研究所、5.宇宙航空研究開発機構　宇宙科学研究所、6.University of Leicester, UK、7.Institute for Geophysics and extraterrestrial Physics, Technical University of Braunschweig)

17:15 〜 18:45

[PEM11-P03] Comparison of simple U-Net model and U-Net models with Attention mechanism in detecting solar coronal hole regions from magnetic field images.

*村山霧人¹、飯田佑輔¹ (1.新潟大学)

17:15 〜 18:45

[PEM11-P04] Seasonal and universal time variations of Pi2 activity analyzed with a machine learning approach

*中野慎也^1,2,4、片岡龍峰^3,4、能勢正仁⁵ (1.情報・システム研究機構　統計数理研究所、2.情報・システム研究機構　データサイエンス共同利用基盤施設、3.国立極地研究所、4.総合研究大学院大学、5.名古屋市立大学)

17:15 〜 18:45

[PEM11-P05] Solar flare prediction modeling using feature compression with convolutional autoencoder

*久保友樹¹、飯田佑輔¹、田所拓馬¹ (1.新潟大学)

17:15 〜 18:45

[PEM11-P06] 太陽水素ライマン線の特徴と地球電離層に及ぼす影響

*大窪遼介¹、渡邉恭子¹、北島慎之典¹、増田智²、家田章正²、陣英克³、垰千尋³、西岡未知³ (1.防衛大学校、2.名古屋大学宇宙地球環境研究所、3.情報通信研究機構)

17:15 〜 18:45

[PEM11-P07] Unified understanding of the dependence of the magnetosphere system on the solar wind Mach number using skeletal magnetic field concept

*藤田茂¹、渡辺正和²、田中高史²、蔡東生³ (1.情報システム研究機構、データサイエンス共同利用基盤施設/統計数理研究所、2.九州大学国際宇宙惑星環境研究センター、3.筑波大学)

17:15 〜 18:45

[PEM11-P08] Improvement of solar wind prediction model using segmentation images of coronal holes

*藤谷壮¹、飯田佑輔¹、西塚直人²、高橋直子² (1.新潟大学、2.国立研究開発法人情報通信研究機構)

17:15 〜 18:45

[PEM11-P09] Development of a forecast model of the outer radiation belt electrons using the XAI

*西宮祐太¹、三好由純¹、堀智昭¹、Jun Chae-Woo¹、三谷烈史²、篠原育²、高島健²、浅村和史²、東尾奈々²、齊藤慎司³、塩田大幸³ (1.名古屋大学宇宙地球環境研究所、2.宇宙航空研究開発機構、3.情報通信研究機構)

17:15 〜 18:45

[PEM11-P10] Statistical analysis of plasma energy flux distribution for spacecraft surface charging in the inner magnetosphere

*中村雅夫¹、松井大智¹ (1.大阪公立大学)

17:15 〜 18:45

[PEM11-P11] 説明可能AIで探る太陽高エネルギー粒子事象を伴うフレアの発生条件

*加藤裕太¹、草野完也²、光田千紘¹、石原康秀¹ (1.富士通株式会社、2.名古屋大学)

17:15 〜 18:45

[PEM11-P12] A compression method of solar polarization spectra from Hinode SOT/SP for solar flare prediction

*Jargalmaa Batmunkh¹、Yusuke Iida¹、Takayoshi Oba²、Haruhisa Iijima³ (1.Niigata University、2.Max Planck Institute for Solar System Research、3.Nagoya University)

17:15 〜 18:45

[PEM11-P13] The study of ionospheric storm in China on October 24-25, 2011

*Qingtao Wan¹、Guanyi Ma¹、Jinghua Li¹、Jiangtao Fan¹ (1. National Astronomical Observatories, Chinese Academy of Sciences)

17:15 〜 18:45

[PEM11-P14] 太陽X線画像におけるシグモイド構造自動検出のための機械学習モデル開発

*岩永響生¹、中平聡志²、飯田佑輔³ (1.大阪公立大学、2.ISAS/JAXA、3.新潟大学)

17:15 〜 18:45

[PEM11-P15] Influence of the cosmic-ray variations on the tropical deep convective clouds

*宮原ひろ子¹ (1.武蔵野美術大学造形学部)

17:15 〜 18:45

[PEM11-P16] Annual ¹⁰Be record in travertine covering 1510-1701: a new proxy for reconstructing annual solar activity

Xu Hongyang²、*宮原ひろ子¹、堀内一穂³、松崎浩之⁴、Zhao Xi²、Gan Hailing²、Luo Weijun⁵、Meadows Michael⁶、Zheng Xiangmin²、Zhou Limin² (1.武蔵野美術大学造形学部、2.華東師範大学、3.弘前大学、4.東京大学、5.中国科学院、6.ケープタウン大学)

17:15 〜 18:45

[PEM11-P17] Estimation of geomagnetically induced current (GIC) using the global MHD simulation of the magnetosphere 6

*亘慎一¹、中溝葵¹、海老原祐輔² (1.情報通信研究機構、2.京都大学生存圏研究所)

17:15 〜 18:45

[PEM11-P18] Concentration of cosmogenic nuclide Be-7 in the surface atmosphere at the beginning of the 25th solar cycle

*櫻井敬久¹、鈴木颯一郎¹、川村容明¹、門叶冬樹¹、武山美麗¹、森谷透¹、乾恵美子¹、菊地聡¹、三宅芙沙²、門倉昭³、小財正義⁴、佐藤夏雄³、杉原奈央子⁵、Gunnlaugur Bjornsson ⁶、Ruffolo David ⁷、Mitthumsiri Warit⁷、Macatangay Ronald ⁸ (1.山形大学、2.名古屋大学、3.国立極地研究所、4.情報・システム研究機構データサイエンス共同利用基盤施設、5.東京大学大気海洋研究所、6.アイスランド大学、7.マヒドー大学、8.タイ国立宇宙研究所)

17:15 〜 18:45

[PEM11-P19] Current status of a real-time prediction system of CME arrival and its magnetic field with ensemble SUSANOO-CME simulation

*塩田大幸¹ (1.国立研究開発法人情報通信研究機構)

17:15 〜 18:45

[PEM11-P20] Long-Term Trend of bias current obtained from Himawari-8/SEDA-e observation

*長妻努¹、坂口歌織¹ (1.国立研究開発法人　情報通信研究機構)

17:15 〜 18:45

[PEM11-P21] Forecast of CIR-driven geomagnetic storms using the deep neural networks

*高橋直子¹、西塚直人¹、飯田佑輔²、藤谷壮² (1.情報通信研究機構、2.新潟大学)

17:15 〜 18:45

[PEM11-P22] New Space Weather Forecasting and Warning Types and Criteria Considering Social Impacts

*津川卓也¹、久保勇樹¹、石井守¹ (1.情報通信研究機構)

17:15 〜 18:45

[PEM11-P23] Toward the surrogate model for REPPU auroral ionosphere ver3 (SMRAI3)

*片岡龍峰¹、中野慎也²、藤田茂²、中溝葵³ (1.国立極地研究所、2.統計数理研究所、3.情報通信研究機構)

セッション情報

[P-EM11] Space Weather and Space Climate

[PEM11-P01] Successes, Misses, and False Alarms in Predicting Global/Seasonal Equatorial Plasma Bubble Occurrence Rates Using the ROCSAT Data

[PEM11-P02] Multipoint spacecraft measurements of the ICME structure in October 2021

[PEM11-P03] Comparison of simple U-Net model and U-Net models with Attention mechanism in detecting solar coronal hole regions from magnetic field images.

[PEM11-P04] Seasonal and universal time variations of Pi2 activity analyzed with a machine learning approach

[PEM11-P05] Solar flare prediction modeling using feature compression with convolutional autoencoder

[PEM11-P06] 太陽水素ライマン線の特徴と地球電離層に及ぼす影響

[PEM11-P07] Unified understanding of the dependence of the magnetosphere system on the solar wind Mach number using skeletal magnetic field concept

[PEM11-P08] Improvement of solar wind prediction model using segmentation images of coronal holes

[PEM11-P09] Development of a forecast model of the outer radiation belt electrons using the XAI

[PEM11-P10] Statistical analysis of plasma energy flux distribution for spacecraft surface charging in the inner magnetosphere

[PEM11-P11] 説明可能AIで探る太陽高エネルギー粒子事象を伴うフレアの発生条件

[PEM11-P12] A compression method of solar polarization spectra from Hinode SOT/SP for solar flare prediction

[PEM11-P13] The study of ionospheric storm in China on October 24-25, 2011

[PEM11-P14] 太陽X線画像におけるシグモイド構造自動検出のための機械学習モデル開発

[PEM11-P15] Influence of the cosmic-ray variations on the tropical deep convective clouds

[PEM11-P16] Annual ¹⁰Be record in travertine covering 1510-1701: a new proxy for reconstructing annual solar activity

[PEM11-P17] Estimation of geomagnetically induced current (GIC) using the global MHD simulation of the magnetosphere 6

[PEM11-P18] Concentration of cosmogenic nuclide Be-7 in the surface atmosphere at the beginning of the 25th solar cycle

[PEM11-P19] Current status of a real-time prediction system of CME arrival and its magnetic field with ensemble SUSANOO-CME simulation

[PEM11-P20] Long-Term Trend of bias current obtained from Himawari-8/SEDA-e observation

[PEM11-P21] Forecast of CIR-driven geomagnetic storms using the deep neural networks

[PEM11-P22] New Space Weather Forecasting and Warning Types and Criteria Considering Social Impacts

[PEM11-P23] Toward the surrogate model for REPPU auroral ionosphere ver3 (SMRAI3)

認証