セッション概要
| 大気水圏科学(A) | |||
|---|---|---|---|
| セッション小記号 | 大気科学・気象学・大気環境(AS) | ||
| セッションID | A-AS07 | ||
| タイトル | 和文 | Models, In situ, and Remote sensing of Aerosols, Clouds, Lightning, and Extreme precipitation (MIRACLE) | |
| 英文 | Models, In situ, and Remote sensing of Aerosols, Clouds, Lightning, and Extreme precipitation (MIRACLE) | ||
| タイトル短縮名 | 和文 | Aerosols, Clouds, Precipitation, Lightning | |
| 英文 | Aerosols, Clouds, Precipitation, Lightning | ||
| 代表コンビーナ | 氏名 | 和文 | Masanori Saito |
| 英文 | Masanori Saito | ||
| 所属 | 和文 | University of Wyoming | |
| 英文 | University of Wyoming | ||
| 共同コンビーナ 1 | 氏名 | 和文 | 佐藤 陽祐 |
| 英文 | Yousuke Sato | ||
| 所属 | 和文 | 大阪大学大学院工学研究科 | |
| 英文 | Graduate School of Engineering, The University of Osaka | ||
| 共同コンビーナ 2 | 氏名 | 和文 | Sang-Woo Kim |
| 英文 | Sang-Woo Kim | ||
| 所属 | 和文 | Seoul National University | |
| 英文 | Seoul National University | ||
| 共同コンビーナ 3 | 氏名 | 和文 | Maria Obiminda L Cambaliza |
| 英文 | Maria Obiminda L Cambaliza | ||
| 所属 | 和文 | Ateneo de Manila University | |
| 英文 | Ateneo de Manila University | ||
| 共同コンビーナ 4 | 氏名 | 和文 | 茂木 信宏 |
| 英文 | Nobuhiro Moteki | ||
| 所属 | 和文 | 東京都立大学 | |
| 英文 | Tokyo Metropolitan University | ||
| 共同コンビーナ 5 | 氏名 | 和文 | 松井 仁志 |
| 英文 | Hitoshi MATSUI | ||
| 所属 | 和文 | 名古屋大学大学院環境学研究科 | |
| 英文 | Graduate School of Environmental Studies, Nagoya University | ||
| 共同コンビーナ 6 | 氏名 | 和文 | 橋本 明弘 |
| 英文 | Akihiro Hashimoto | ||
| 所属 | 和文 | 気象研究所 | |
| 英文 | Meteorological Research Institute | ||
| 共同コンビーナ 7 | 氏名 | 和文 | 島 伸一郎 |
| 英文 | Shin-ichiro Shima | ||
| 所属 | 和文 | 兵庫県立大学 | |
| 英文 | University of Hyogo | ||
| 共同コンビーナ 8 | 氏名 | 和文 | Yutaka Tobo |
| 英文 | Yutaka Tobo | ||
| 所属 | 和文 | National Institute of Polar Research | |
| 英文 | National Institute of Polar Research | ||
| 共同コンビーナ 9 | 氏名 | 和文 | 松井 俊久 |
| 英文 | Matsui Toshihisa | ||
| 所属 | 和文 | NASA Goddard Space Flight Center / ESSIC University of Maryland, College Park | |
| 英文 | NASA Goddard Space Flight Center / ESSIC University of Maryland, College Park | ||
| 発表言語 | E | ||
| スコープ | 和文 |
Aerosols, clouds, precipitation, lightning (ACPL), and their associated processes play a pivotal role in the Earth's climate system. These processes influence climate, air quality, and extreme weather events such as heavy rainfall, organized convective systems, and lightning strikes, while remaining major sources of uncertainty in climate predictions. Research on these topics spans a wide range of methods, including numerical modeling, in situ measurements, remote sensing, and laboratory experiments. In particular, the Models, In situ, and Remote sensing of Aerosols (MIRA; https://science.larc.nasa.gov/mira-wg/) working group fosters synergy across modeling, measurement, and remote sensing communities to advance interdisciplinary aerosol-related research. The community benefits from close interactions among these approaches, which enhance measurement and modeling capabilities and strengthen the overall scientific impact on climate and air quality research. This session is a merged session between ACPL and MIRA and invites presentations that address aerosols, clouds, precipitation, lightning, and associated meteorological processes using multiple methodological approach, with the goal of sharing the current state of scientific understanding and discussing future research directions. We particularly welcome studies on fundamental topics connecting multiple research methods, such as model developments, observational and analytical techniques, and theoretical investigations of aerosol-cloud-precipitation-lightning interactions. |
|
| 英文 |
Aerosols, clouds, precipitation, lightning (ACPL), and their associated processes play a pivotal role in the Earth's climate system. These processes influence climate, air quality, and extreme weather events such as heavy rainfall, organized convective systems, and lightning strikes, while remaining major sources of uncertainty in climate predictions. Research on these topics spans a wide range of methods, including numerical modeling, in situ measurements, remote sensing, and laboratory experiments. In particular, the Models, In situ, and Remote sensing of Aerosols (MIRA; https://science.larc.nasa.gov/mira-wg/) working group fosters synergy across modeling, measurement, and remote sensing communities to advance interdisciplinary aerosol-related research. The community benefits from close interactions among these approaches, which enhance measurement and modeling capabilities and strengthen the overall scientific impact on climate and air quality research. This session is a merged session between ACPL and MIRA and invites presentations that address aerosols, clouds, precipitation, lightning, and associated meteorological processes using multiple methodological approach, with the goal of sharing the current state of scientific understanding and discussing future research directions. We particularly welcome studies on fundamental topics connecting multiple research methods, such as model developments, observational and analytical techniques, and theoretical investigations of aerosol-cloud-precipitation-lightning interactions. |
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| 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25日 AM1 | |||
| 9:15 - 9:30 | AAS07-01 | What can we learn from single-particle measurements? | 足立 光司 |
| 9:30 - 9:45 | AAS07-02 | Complex Amplitude Sensing (CAS) as a tool for fundamental research in aerosol optics | 茂木 信宏 |
| 9:45 - 10:00 | AAS07-03 | Community Tool Development for Managing Tables of Aerosol and Cloud Optics Data Sets | Yevgeny Derimian |
| 10:00 - 10:15 | AAS07-04 | Table of Aerosol Optics (TAO): A community database of aerosol optical properties | Masanori Saito |
| 10:15 - 10:30 | AAS07-05 | Towards Atmospheric Compound Identification Using Simulated Electron Ionization Mass Spectra | Hilda Sandstroem |
| 口頭発表 5月25日 AM2 | |||
| 10:45 - 11:00 | AAS07-06 | Detailed number-size distributions of ice-nucleating particles in the marine boundary layer of the North Pacific-Arctic sector | Yutaka Tobo |
| 11:00 - 11:15 | AAS07-07 | Vertical phase structure of mixed-phase clouds dependent on aerosol number concentration in an LES model | 山崎 耕平 |
| 11:15 - 11:30 | AAS07-08 | Numerical Estimation of the Impact of Surfactants in Aerosols on Urban Heavy Rainfall | 梶川 友貴 |
| 11:30 - 11:45 | AAS07-09 | Evaluation of WRF Cloud Properties of Typhoon Hato Based on Forward Radiative Transfer Simulation and Machine Learning | You Wu |
| 11:45 - 12:00 | AAS07-10 | Quantification of Water Cloud Effects Using 1D and 3D Radiative Transfer Models | HA HYUNJU |
| 12:00 - 12:15 | AAS07-11 | Cloud Transparency Estimation from Himawari-9 satellite via Physics-Gated Mixture of Experts and Dynamic Multi-Input Fine-Tuning | 細田 皇太郎 |
| 口頭発表 5月25日 PM1 | |||
| 13:45 - 14:00 | AAS07-12 | Satellite Remote Sensing of Aerosols in Asia from Geostationary Earth Orbit: GEMS, GOCI-II, AMI, and Data fusion by DNN | Jhoon Kim |
| 14:00 - 14:15 | AAS07-13 | Perspectives on Aerosol-Cloud-Precipitation Interactions from Airborne Research Over the Northwest Atlantic | Armin Sorooshian |
| 14:15 - 14:30 | AAS07-14 | From Dust Emission to Climate Effects: Land-Surface-Dependent Thresholds in SPRINTARS Across Scales | 江 仰賢 |
| 14:30 - 14:45 | AAS07-15 | A Universal Parameterization of Dust Optical Properties for Radiative Transfer Applications | Masanori Saito |
| 14:45 - 15:00 | AAS07-16 | Global characterization of iron-oxide mineralogy in atmospheric dust using DSCOVR EPIC: Retrieval development, climatology, and process-level insights | Sujung Go |
| 15:00 - 15:15 | AAS07-17 | Impact of chemical composition on aerosol scattering: Synergetic use of SPARTAN and AERONET observations | Sang Seo Park |
| 口頭発表 5月25日 PM2 | |||
| 15:30 - 15:45 | AAS07-18 | Environmental moisture and stability controls on drop-size distribution within convective clouds under sheared conditions | 鵜沼 昂 |
| 15:45 - 16:00 | AAS07-19 | Wegener–Bergeron–Findeisen-driven ice growth in an expansion cloud chamber: roles of ascent rate and sedimentatio | La Inyeob |
| 16:00 - 16:15 | AAS07-20 | Implementation of Melting/Freezing and Wet Growth of Nonspherical Ice Particles Using the Super-Droplet Method | 大橋 隼知 |
| 16:15 - 16:30 | AAS07-21 | ラグランジアン追跡による乱流雲中の降水粒子成長シミュレーション | 岩島 昌也 |
| 16:30 - 16:45 | AAS07-22 | AMPS Simulation of Frontal and Orograohic Precipitation Observed during OLYMPEX | 藤川 匠 |
| 講演番号 | タイトル | 発表者 |
|---|---|---|
| ポスター発表 5月25日 PM3 | ||
| AAS07-P01 | Numerical simulations on snow particle formation mechanisms over the Sea of Japan in winter | 橋本 明弘 |
| AAS07-P02 | Dynamical Regime-Dependent Branching of Mixed-Phase Structures in an Idealized Supercell | 近藤 誠 |
| AAS07-P03 | Contributions of Warm Rain and Freezing Raindrop Processes to the July 2017 Northern Kyushu Heavy Rainfall Using a Tracking Scheme | 篠田 太郎 |
| AAS07-P04 | CCN 濃度と水蒸気に対する対流雲の感度解析ー CAIPEEX | 小串 拓未 |
| AAS07-P05 | High-temporal-resolution observations of winter lightning using an Event-based Vision Sensor: Preliminary results from Toyama | 大野 辰遼 |
| AAS07-P06 | EarthCARE CPRと地上観測による発雷を伴う孤立積乱雲の解析 | 岩井 直太 |
| AAS07-P07 | Vanishing Rain: Observational and Modelling Perspectives on Virga-Type Precipitation | Ashish Shaji |
| AAS07-P08 | Inferring the properties of clouds from surface-observed spectral global irradiance data | Khatri Pradeep |
| AAS07-P09 | Application of a Bulk Lightning Model for Aircraft Lightning Strike Prevention | 佐藤 陽祐 |
| AAS07-P10 | Improving spatially robust estimation of PM2.5 chemical components using geostationary satellite observations and machine learning | Songgyun Na |
| AAS07-P11 | Simultaneous Retrieval of Dust Optical Depth (AOD) and Particle Size Distribution (PSD) from GK-2A Geostationary Satellite Observations | Ehsan - Parsa Javid |
| AAS07-P12 | Investigating the Modified Environmental Kuznets Curve Using Neural Network–Corrected Satellite Observations | JEEWOO LEE |
| AAS07-P13 | Accelerating Iterative Aerosol Retrieval for TANSO-3/GOSAT-GW with a VLIDORT-Trained Deep-Learning RTM Emulator | 林 顯光 |
| AAS07-P14 | Coupling Satellite-Derived Aerosol Optical Depth and Physics-Informed Neural CDEs for Predicting Sub-Hourly Indoor Smoke Intrusion | Yanrui Li |
| AAS07-P15 | Development and Evaluation of GEMS AOD Version 3.0 | Yujin Chai |
| AAS07-P16 | Performance evaluation of the Complex Amplitude Sensor (CAS) at multiple wavelengths using airborne two-sphere clusters | 須田 翔太郎 |