大気水圏科学(A)
セッション小記号 大気水圏科学複合領域・一般(CG)
セッションID A-CG65
タイトル 和文 Modeling volcanic gas and tephra dispersion in the HPC Era: from local-scale to global
英文 Modeling volcanic gas and tephra dispersion in the HPC Era: from local-scale to global
タイトル短縮名 和文 HPC in volcanic products dispersal
英文 HPC in volcanic products dispersal
代表コンビーナ 氏名 和文 Beatriz Martinez Montesinos
英文 Beatriz Martinez Montesinos
所属 和文 Istituto Nazionale di Geofisica e Vulcanologia, Bologna, Italy
英文 Istituto Nazionale di Geofisica e Vulcanologia, Bologna, Italy
共同コンビーナ 1 氏名 和文 Silvia Massaro
英文 Silvia Massaro
所属 和文 1
英文 1
共同コンビーナ 2 氏名 和文 Magfira Syarifuddin
英文 Magfira Syarifuddin
所属 和文 University of Toyama
英文 University of Toyama
共同コンビーナ 3 氏名 和文 Claudia Corradino
英文 Claudia Corradino
所属 和文
英文
共同コンビーナ 4 氏名 和文 Laura Sandri
英文 Laura Sandri
所属 和文 Istituto Nazionale di Geofisica e Vulcanologia
英文 Istituto Nazionale di Geofisica e Vulcanologia
共同コンビーナ 5 氏名 和文 瀧下 恒星
英文 Kosei Takishita
所属 和文 京都大学防災研究所附属火山防災研究センター桜島火山観測所
英文 Sakurajima Volcano Observatory, Disaster Prevention Research Institute, Kyoto University
発表言語 E
スコープ 和文 
Nowadays, volcanic gas and ash dispersion modeling has entered a new phase, where the High-Performance Computing (HPC) is no longer a computational tool, but a key component for improving the present-day volcanological knowledge. In particular, it enhances operational forecast systems for dispersal of SO2 emissions and tephra fallout at long- and short-term scales. The integration of dispersion models with real-time satellite retrievals and in situ monitoring enables continuous model calibration and uncertainty reduction through inversion and data assimilation techniques. This session collects original studies from this area that significantly benefits from HPC-enabled workflows.
英文 
Nowadays, volcanic gas and ash dispersion modeling has entered a new phase, where the High-Performance Computing (HPC) is no longer a computational tool, but a key component for improving the present-day volcanological knowledge. In particular, it enhances operational forecast systems for dispersal of SO2 emissions and tephra fallout at long- and short-term scales. The integration of dispersion models with real-time satellite retrievals and in situ monitoring enables continuous model calibration and uncertainty reduction through inversion and data assimilation techniques. This session collects original studies from this area that significantly benefits from HPC-enabled workflows.
発表方法 口頭および（または）ポスターセッション
招待講演 鈴木 雄治郎 (東京大学地震研究所)
クラウディ サンチェス (ボローニャ大学)
アレハンドラ・ゲレロ (ゲオシエンシアス・バルセロナ (CSIC))
時間 講演番号 タイトル 発表者
口頭発表 5月25日 PM2
15:30 - 15:45 ACG65-01 Computational fluid dynamics modeling of volcanic eruption clouds and tephra transport 鈴木 雄治郎
15:45 - 16:00 ACG65-02 Linking laboratory insights, numerical models, and HPC for volcanic gas and tephra dispersion Claudia Sanchez
16:00 - 16:15 ACG65-03 A Service-Oriented Framework for European Tephra Hazard Mapping Using Energy-Based PDFs and HPC Workflows Alejandra Guerrero
16:15 - 16:30 ACG65-04 High-Temporal Resolution Radar Constraints for HPC-Based Ash Source Characterization: The 2018 Sinabung Eruption Magfira Syarifuddin
16:30 - 16:45 ACG65-05 Advanced HPC-enabled approaches to study impacts of SO2 volcanic emissions in atmosphere at local and global scale Eleonora Amato
16:45 - 17:00 ACG65-06 A Multi-Sensor Machine Learning Framework for Global Volcanic Cloud Monitoring Federica Torrisi
講演番号 タイトル 発表者
ポスター発表 5月25日 PM3
ACG65-P01 Modelling persistent gas dispersion from Nyiragongo and Nyamuragira volcanoes using numerical modeling and satellite data Silvia Massaro
ACG65-P02 Reconstructing Aso-4 Eruption Source Parameters via Ensemble Based Assimilation of Tephra Deposit Data Beatriz Martinez Montesinos
ACG65-P03 単一粒径のAsh Fingerの大気中での拡散モデルの検討 瀧下 恒星
ACG65-P04 Towards the European tephra hazard map Arnau Folch
ACG65-P05 A Cloud-Based Tool for Global Detection and Quantification of Volcanic SO2 Plumes Using TROPOMI and Machine Learning approach Simona Cariello