Session outline
| Atmospheric and Hydrospheric Sciences (A) | ||
|---|---|---|
| Session Sub-category | Atmospheric Sciences, Meteorology & Atmospheric Environment(AS) | |
| Session ID | A-AS07 | |
| Title | Models, In situ, and Remote sensing of Aerosols, Clouds, Lightning, and Extreme precipitation (MIRACLE) | |
| Short Title | Aerosols, Clouds, Precipitation, Lightning | |
| Main Convener | Name | Masanori Saito |
| Affiliation | University of Wyoming | |
| Co-Convener 1 | Name | Yousuke Sato |
| Affiliation | Graduate School of Engineering, The University of Osaka | |
| Co-Convener 2 | Name | Sang-Woo Kim |
| Affiliation | Seoul National University | |
| Co-Convener 3 | Name | Maria Obiminda L Cambaliza |
| Affiliation | Ateneo de Manila University | |
| Co-Convener 4 | Name | Nobuhiro Moteki |
| Affiliation | Tokyo Metropolitan University | |
| Co-Convener 5 | Name | Hitoshi MATSUI |
| Affiliation | Graduate School of Environmental Studies, Nagoya University | |
| Co-Convener 6 | Name | Akihiro Hashimoto |
| Affiliation | Meteorological Research Institute | |
| Co-Convener 7 | Name | Shin-ichiro Shima |
| Affiliation | University of Hyogo | |
| Co-Convener 8 | Name | Yutaka Tobo |
| Affiliation | National Institute of Polar Research | |
| Co-Convener 9 | Name | Matsui Toshihisa |
| Affiliation | NASA Goddard Space Flight Center / ESSIC University of Maryland, College Park | |
| Session Language |
E |
|
| Scope |
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. |
|
| Presentation Format | Oral and Poster presentation | |
| Time | Presentation No | Title | Presenter |
|---|---|---|---|
| Oral Presentation May 25 AM1 | |||
| 9:15 - 9:30 | AAS07-01 | What can we learn from single-particle measurements? | Kouji Adachi |
| 9:30 - 9:45 | AAS07-02 | Complex Amplitude Sensing (CAS) as a tool for fundamental research in aerosol optics | Nobuhiro Moteki |
| 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 |
| Oral Presentation May 25 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 | Kohei Yamasaki |
| 11:15 - 11:30 | AAS07-08 | Numerical Estimation of the Impact of Surfactants in Aerosols on Urban Heavy Rainfall | Tomoki Kajikawa |
| 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 | HYUNJU HA |
| 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 | Kohtaro Hosoda |
| Oral Presentation May 25 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 | Ieong-in Kaman Kong |
| 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 |
| Oral Presentation May 25 PM2 | |||
| 15:30 - 15:45 | AAS07-18 | Environmental moisture and stability controls on drop-size distribution within convective clouds under sheared conditions | Takashi Unuma |
| 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 | Ohashi Hayatomo |
| 16:15 - 16:30 | AAS07-21 | Lagrangian tracking simulation of precipitation particles in vertically developing turbulent cloud | Masaya Iwashima |
| 16:30 - 16:45 | AAS07-22 | AMPS Simulation of Frontal and Orograohic Precipitation Observed during OLYMPEX | Takumi Fujikawa |
| Presentation No | Title | Presenter |
|---|---|---|
| Poster Presentation May 25 PM3 | ||
| AAS07-P01 | Numerical simulations on snow particle formation mechanisms over the Sea of Japan in winter | Akihiro Hashimoto |
| AAS07-P02 | Dynamical Regime-Dependent Branching of Mixed-Phase Structures in an Idealized Supercell | Makoto Kondo |
| AAS07-P03 | Contributions of Warm Rain and Freezing Raindrop Processes to the July 2017 Northern Kyushu Heavy Rainfall Using a Tracking Scheme | Taro Shinoda |
| AAS07-P04 |
Sensitivy Analysis of Convective Clouds to CCN Concentration and Water Vapor - CAIPEEX |
Takumi Ogushi |
| AAS07-P05 | High-temporal-resolution observations of winter lightning using an Event-based Vision Sensor: Preliminary results from Toyama | Tatsuharu Ono |
| AAS07-P06 | Analysis of lightning locations and cloud structures in isolated cumulonimbus clouds through the combined analysis of EarthCARE CPR and ground-based measurements | Naota Iwai |
| 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 | Pradeep Khatri |
| AAS07-P09 | Application of a Bulk Lightning Model for Aircraft Lightning Strike Prevention | Yousuke Sato |
| 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 | Hyunkwang Lim |
| 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 | Shotaro Suda |