JpGU Meeting 2025
Session Outline| Atmospheric and Hydrospheric Sciences (A) | ||||
|---|---|---|---|---|
| Session Sub-category | Atmospheric Sciences, Meteorology & Atmospheric Environment (AS) | |||
| Session ID | A-AS01 | |||
| Session Title | From Weather Predictability to Controllability | |||
| Short Title | Weather Controllability | |||
| Date & Time | Oral Session |
PM1-PM2 Fri, 30 MAY | ||
| On-site Poster Coretime |
PM3 Fri. 30 MAY | |||
| Main Convener | Name | Takemasa Miyoshi | ||
| Affiliation | RIKEN | |||
| Co-Convener 1 | Name | Tetsuo Nakazawa | ||
| Affiliation | AORI, The University of Tokyo | |||
| Co-Convener 2 | Name | Kohei Takatama | ||
| Affiliation | Japan Science and Technology Agency | |||
| Session Language | E | |||
| Scope (Session Description) |
Weather is chaotic, with strong sensitivity to initial conditions tied to the intrinsic limit to predictability. The strong sensitivity also suggests effective control in which small modifications to the atmospheric conditions grow rapidly and result in big changes. Weather predictability has been studied extensively in the past decades, and the weather prediction skills have been improving consistently. Now with the accurate weather prediction, we are ready to study weather controllability, the other side of a coin. Control is achieved by effective accumulation and combination of modifications or interventions like an orbit control of spacecraft. This session welcomes presentations about understanding of weather sensitivity and predictability, theoretical developments of controllability beyond predictability, weather modification techniques, and other related topics toward weather controllability. |
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| Session Format | Orals and Posters session | |||
| Co-sponsorship | Partner Union(s) | - | ||
| JpGU Society Member(s) | Meteorological Society of Japan | |||
| International Collaborative Society | - | |||
| Organizations Other Than JpGU Society Members | - | |||
| Time | Presentation No | Title | Presenter |
|---|---|---|---|
| Oral Presentation May 30 PM1 | |||
| 13:45 - 14:00 | AAS01-01 | The fourth-year overview of Japan’s Moonshot Goal 8 R&D program for controlling and modifying the weather by 2050 | Takemasa Miyoshi |
| 14:00 - 14:15 | AAS01-02 | Exploring weather control technology to steer the atmosphere towards favorable directions based on ensemble data assimilation | Shunji Kotsuki |
| 14:15 - 14:30 | AAS01-03 | Detection of Separation Scenarios in Extreme Weather Events Using Regional Ensemble Prediction Data | Pascal Oettli |
| 14:30 - 14:45 | AAS01-04 | Feasibility of upstream weather intervention for downstream heavy rainfall mitigation based on ensemble sensitivity analysis | Atsushi Hamada |
| 14:45 - 15:00 | AAS01-05 | Short-term hourly weather forecasting using PredRNN with image preprocessing | Tan Bui-Thanh |
| 15:00 - 15:15 | AAS01-06 | introduction of operational convection permitting ensemble prediction system of North China | Hanbin Zhang |
| Oral Presentation May 30 PM2 | |||
| 15:30 - 15:45 | AAS01-07 | Ensemble Kalman Control: Mathematical Platform to Explore Tropical Cyclone’s Controllability | Yohei Sawada |
| 15:45 - 16:00 | AAS01-08 | Understanding the Impact Cold Pools Have on an Approaching Typhoon Using the Non-hydrostatic Icosahedral Atmospheric Model (NICAM) | Marguerite Beverly-Anne Eunice Lee |
| 16:00 - 16:15 | AAS01-09 | Impact-Based Typhoon Track Ensemble Forecasting for Hagibis (2019): Effects of Typhoon Tracks and Flood Prevention Infrastructure in Flood Damage Assessment | Xiaoyang Li |
| 16:15 - 16:30 | AAS01-10 | Numerical investigation of the response of idealized tropical cyclones to perturbations in sea surface water vapor flux | Yoshioka Hiroaki |
| 16:30 - 16:45 | AAS01-11 | Changes in Public Perception of Typhoon Control Technology: Examining the Effects of Information Provision and Philosophical Dialogue | Yuqing SU |
| Presentation No | Title | Presenter |
|---|---|---|
| Poster Presentation May 30 PM3 | ||
| AAS01-P01 | Improving numerical weather prediction for heavy rainfall with the assimilation of dual Multi-Parameter Phased Array Weather Radar | James David Taylor |
| AAS01-P02 | WRF Simulations of Artificial Water Introduction to the Atmosphere for Mitigating Heavy Rainfall Events in Japan | Jose Angelo Hokson |
| AAS01-P03 | Mitigating Convective Heavy Rainfall Through Targeted Cloud Seeding: A WRF Model-Based Study of the 2014 Hiroshima Event | Jacqueline Muthoni Mbugua |
| AAS01-P04 | Importance of Tropical Indian Ocean Observations to Central Pacific El Niño Prediction | Xiaojing Li |
| AAS01-P05 | Ensemble-Based Model Predictive Control for Meteorological Applications | Kenta Kurosawa |
| AAS01-P06 | Efficiency Assessment of Rainfall Suppression on Flood Inundation Mitigation | CHANG JUICHE |
| AAS01-P07 | Bottom-up approach for mitigating extreme events under limited intervention options: a case study with Lorenz 96 | Takahito Mitsui |
| AAS01-P08 | Evaluation of the Effectiveness of Black-Box Optimization Methods in Weather Intervention Design | Yuta Higuchi |
| AAS01-P09 | Relationship between tropical cyclone intensity and large-scale atmospheric responses | Tomoe Nasuno |
| AAS01-P10 | The predictability of global river discharge forecast at sub-seasonal to seasonal (S2S) timescale | Tamima Amin |