セッション概要
| 宇宙惑星科学(P) | |||
|---|---|---|---|
| セッション小記号 | 太陽地球系科学・宇宙電磁気学・宇宙環境(EM) | ||
| セッションID | P-EM13 | ||
| タイトル | 和文 | Space Weather and Space Climate | |
| 英文 | Space Weather and Space Climate | ||
| タイトル短縮名 | 和文 | Space Weather and Space Climate | |
| 英文 | Space Weather and Space Climate | ||
| 代表コンビーナ | 氏名 | 和文 | 片岡 龍峰 |
| 英文 | Ryuho Kataoka | ||
| 所属 | 和文 | 沖縄科学技術大学院大学 | |
| 英文 | Okinawa Institute of Science and Technology | ||
| 共同コンビーナ 1 | 氏名 | 和文 | Antti Pulkkinen |
| 英文 | Antti Pulkkinen | ||
| 所属 | 和文 | NASA Goddard Space Flight Center | |
| 英文 | NASA Goddard Space Flight Center | ||
| 共同コンビーナ 2 | 氏名 | 和文 | Mary Aronne |
| 英文 | Mary Aronne | ||
| 所属 | 和文 | NASA/George Mason University | |
| 英文 | NASA/George Mason University | ||
| 共同コンビーナ 3 | 氏名 | 和文 | 伴場 由美 |
| 英文 | Yumi Bamba | ||
| 所属 | 和文 | 国立研究開発法人 情報通信研究機構 | |
| 英文 | National Institute of Information and Communications Technology | ||
| 発表言語 | E | ||
| スコープ | 和文 |
This session aims to share the latest scientific findings to better understand how the space environment evolves across various time scales, and to discuss strategies for responding through international and interdisciplinary collaboration. We welcome contributions on topics such as long-term space climate reconstruction, cutting-edge observational and modeling studies of space weather from the Sun to the Earth's surface, and applied research including operational space weather forecasting using machine learning techniques and hazard assessments for deep space human missions to the Moon and Mars. |
|
| 英文 |
This session aims to share the latest scientific findings to better understand how the space environment evolves across various time scales, and to discuss strategies for responding through international and interdisciplinary collaboration. We welcome contributions on topics such as long-term space climate reconstruction, cutting-edge observational and modeling studies of space weather from the Sun to the Earth's surface, and applied research including operational space weather forecasting using machine learning techniques and hazard assessments for deep space human missions to the Moon and Mars. |
||
| 発表方法 | 口頭および(または)ポスターセッション | ||
| 時間 | 講演番号 | タイトル | 発表者 |
|---|---|---|---|
| 口頭発表 5月26日 AM1 | |||
| 9:00 - 9:15 | PEM13-01 | Space Weather Analysis and Prediction Activities Supporting Planetary Exploration by NASA GSFC’s Moon to Mars Space Weather Analysis Office | Teresa Nieves-Chinchilla |
| 9:15 - 9:30 | PEM13-02 | Future of Space Weather Observations | Yaireska M Collado-Vega |
| 9:30 - 9:45 | PEM13-03 | Operational Approaches during the Veterans Day and Martin Luther King Jr Day (US) storms | Robert A Steenburgh |
| 9:45 - 10:00 | PEM13-04 | Activities in ESA Space Weather Office | Juha-Pekka Luntama |
| 10:00 - 10:15 | PEM13-05 | Advancing space weather research at Jet Propulsion Laboratory | Olga P Verkhoglyadova |
| 10:15 - 10:30 | PEM13-06 | AI-assisted space weather mission design | Antti Pulkkinen |
| 口頭発表 5月26日 AM2 | |||
| 10:45 - 11:00 | PEM13-07 | Deep Learning-Based Detection of Unusual Spectral Features in the Flare-Producing NOAA Active Region 12673 | Jargalmaa Batmunkh |
| 11:00 - 11:15 | PEM13-08 | Predictability of a Solar Flare in May 2024 Using Data-driven MHD Simulations | 金子 岳史 |
| 11:15 - 11:30 | PEM13-09 | 物理式を組み込んだ機械学習によるコロナ磁場の外挿手法の性能評価 | 横家 滉大 |
| 11:30 - 11:45 | PEM13-10 | CMEの発生機構を説明する二段階不安定性モデル | 草野 完也 |
| 11:45 - 12:00 | PEM13-11 | Strong Interplanetary Shocks from Fast CMEs Associated with X-class Flares in November 2025 and January 2026 | Nariaki Nitta |
| 12:00 - 12:15 | PEM13-12 | 太陽活動周期で変化する宇宙空間に磁場が開きやすい太陽表面磁場構造の特徴 | 吉田 南 |
| 口頭発表 5月26日 PM1 | |||
| 13:45 - 14:00 | PEM13-13 | Investigation on Solar Wind Characteristic Parameters Using IPS observations and PFSS+SCS Magnetic Field Extrapolations | 戸頃 響吾 |
| 14:00 - 14:15 | PEM13-14 | Reconstruction of Solar Wind Data Using Machine Learning | 長野 秀俊 |
| 14:15 - 14:30 | PEM13-15 | SUSANOO-CMEにおける観測に基づく磁束アンサンブルによるCME到来予測精度の向上 | 磯貝 拓史 |
| 14:30 - 14:45 | PEM13-16 | MHD Modeling of Powerful CME Events Associated with Extreme Particle Events in November 2025 and January 2026 | 塩田 大幸 |
| 14:45 - 15:00 | PEM13-17 | Effects of Induced and Crustal Magnetic Field Structures on Martian SEP Auroras Based on MAVEN Observations | 沖山 太心 |
| 15:00 - 15:15 | PEM13-18 | Global ozone depletion on Mars during major SEP event | 粟生 大竣 |
| 口頭発表 5月26日 PM2 | |||
| 15:30 - 15:45 | PEM13-19 | Venus as a Laboratory for Understanding Interaction between Space Climate and Cloud Formation | 狩生 宏喜 |
| 15:45 - 16:00 | PEM13-20 | Pattern-Based Classification of Time-Varying MAXI/RBM Events Using a Large Language Model (LLM) | 中平 聡志 |
| 16:00 - 16:15 | PEM13-21 | Modeling and in-situ validation of the deep-space radiation environment using instrument response analysis | Chieh Lung |
| 16:15 - 16:30 | PEM13-22 | Measurements of Deep Space Radiation Aboard the ispace Resilience Lunar Lander | Chang Loren |
| 16:30 - 16:45 | PEM13-23 | Large Forbush decrease events observed by muon detectors (1976-2026) and its relationship with solar wind parameters | 林 優希 |
| 16:45 - 17:00 | PEM13-24 | Ultra-high-precision measurements of carbon-14 and its application for space weather research | 宮原 ひろ子 |
| 口頭発表 5月27日 AM1 | |||
| 9:00 - 9:15 | PEM13-25 | A New Index for Abnormal Aviation-Band VHF Propagation Associated with Sporadic E over Japan | 安藤 慧 |
| 9:15 - 9:30 | PEM13-26 | Global Ionospheric Electrodynamics by AI emulator : From Auroral to Equatorial Region | Nilam Yashwant Bhosale |
| 9:30 - 9:45 | PEM13-27 | Impacts of the 2024 May and October superstorms on the use of Global Navigation Satellite System signals across Australia | Brett A Carter |
| 9:45 - 10:00 | PEM13-28 | Quantifying the Impact of Localized Thermospheric Density Enhancements on Low Earth Orbit Satellite Drag | Elise J Blanchfield |
| 10:00 - 10:15 | PEM13-29 | Is keV electron radiation environment worse at MEO than at GEO? | Natalia Y Ganushkina |
| 10:15 - 10:30 | PEM13-30 | Effect of Ionospheric Spatial Gradient and Irregularities on Differential GNSS Positioning | Jinghua LI |
| 口頭発表 5月27日 PM2 | |||
| 15:30 - 15:45 | PEM13-31 | Evaluation of NICT space weather forecast for extreme events in May 2024 | 坂口 歌織 |
| 15:45 - 16:00 | PEM13-32 | Challenges and Rewards of Continuous Geoelectric Field Measurements: Relevance to Industry and Space Weather Hazards | Martin G Connors |
| 16:00 - 16:15 | PEM13-33 | Substorm dynamics associated with localized, short-duration intense geomagnetically induced currents and voltage harmonic distortion during the recovery phase of the Gannon storm | Emine Ceren Kalafatoglu Eyiguler |
| 16:15 - 16:30 | PEM13-34 | Prediction of the Dst Index Using Physics-Informed Neural Networks | 西野 幹志 |
| 16:30 - 16:45 | PEM13-35 |
Statistical study of keV electrons in the inner Earth magnetosphere based on the Arase satellite measurements |
Xiaofei Shi |
| 16:45 - 17:00 | PEM13-36 | Microburst-type REP event detections with the CALET Gamma-ray Burst Monitor | 栗原 明稀 |
| 講演番号 | タイトル | 発表者 |
|---|---|---|
| ポスター発表 5月26日 PM3 | ||
| PEM13-P01 | Graph Neural Network-based Multimodal Fusion for Cross-Atmospheric Solar Flare Prediction | MINYI QIU |
| PEM13-P02 | 説明可能なAI ”Wide Learning”を用いた太陽高エネルギー粒子予測のためのフレア前特徴量の評価 | 大久保 沙椰 |
| PEM13-P03 | Development of an AI Regression Model for Predicting Orbital Decay of LEO Satellites from Solar Irradiance and Geomagnetic Activity Indices | 加藤 裕太 |
| PEM13-P04 | ファラデーの法則とニューラルネットワークを用いた太陽表面電場の推定 | 木村 颯汰 |
| PEM13-P05 | Ensemble Kalman Filter Data Assimilation for Estimating Magnetic Fields and Meridional Flow in a Surface Flux Transport Model | 柳澤 佑星 |
| PEM13-P06 | Polar ionospheric forecast with AI emulator and observation data | 片岡 龍峰 |
| PEM13-P07 | Development of all-sky auroral imager using multi band-pass filter and full color sensor | 片岡 龍峰 |
| PEM13-P08 | Aurora observations by a single-board computer-based all-sky digital camera system at Longyearbyen: Calibration experiments and initial analysis of observational data | 渋谷 翼 |
| PEM13-P09 | Characterization and Modeling of the Surface Charging Plasma Environment in the Inner Magnetosphere over an Entire Solar Cycle | 中村 雅夫 |
| PEM13-P10 | 宇宙機搭載用の小型帯電センサの開発 | 榎 海星 |
| PEM13-P11 | 3D reconstruction of low-latitude auroras using citizen science photographs | 中山 智博 |
| PEM13-P12 | SuperDARN 北海道-陸別第1・第2レーダーを用いた異なる地磁気活動度における低緯度オーロラに伴う電離圏対流の比較研究 | 依田 隆暉 |
| PEM13-P13 | Advancing Solar Flare Forecasting: Operational Deployment of Physics-Based Prediction at NICT, Japan | 伴場 由美 |
| PEM13-P14 | Travertine as a tool for investigating past extreme space weather events | 宮原 ひろ子 |
| PEM13-P15 | Multi-year study for quantitative RTK space weather alert thresholds | 西岡 未知 |
| PEM13-P16 | Development of a Ground Receiving Station at NICT Kashima for the SWFO-L1 (SOLAR-1) Mission | 塩田 大幸 |
| PEM13-P17 | Radiation Monitors for Space weather onboard Japan Meteorological satellite "Himawari 10" in GEO | 齊藤 慎司 |
| PEM13-P18 | Space Weather for the Moon, Mars, and Beyond by NASA GSFC’s Moon to Mars Space Weather Analysis Office | Mary Aronne |
| PEM13-P19 | Phase changes in lunar breccia during space weather simulation using Focused ion beam and Raman spectroscopy | Radek Novotny |
| PEM13-P20 | An Expert-Guided Ionogram Dataset for Low-latitude Spread-F Research Over a Complete Solar Cycle | Zheng Wang |
| PEM13-P21 | Impact of phase scintillation on next generation SBAS and ranging signals broadcast from QZSS and GNSS in the Arctic | 高橋 透 |
| PEM13-P22 | Operational Use of Solar Flare Prediction Using Deep Flare Net and Evaluation Results for 2019–2026 | 西塚 直人 |
| PEM13-P23 | 2025年11月及び2026年1月の大規模宇宙天気現象発生時におけるNICT宇宙天気予報と日本の社会的影響 | 津川 卓也 |
| PEM13-P24 | Long-term Statistical Analysis of Ionospheric Parameter and its Application to HF Blackout Forecasting | 渡邉 恭子 |
| PEM13-P25 | Development status of the geostationary orbit high energy proton flux measurement instrument (RMS-p) V | 大辻 賢一 |
| PEM13-P26 | リアルタイム電離圏データ同化システムの開発 | 陣 英克 |
| PEM13-P27 | Toward Improved Space Weather Forecasting of CIR-Driven Geomagnetic Disturbances Using Deep Learning | 高橋 直子 |
| PEM13-P28 | Near Real-Time Collection of Space Environment Data from Quasi-Zenith Satellites for Space Weather Forecasting Applications | 長妻 努 |