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Session Proposal: Toward Modifications of Extreme Weather Events (AGU25)

A101
Toward Modifications of Extreme Weather Events

Session ID#: 249993

Session Description:
Climate change modulates the weather patterns, and humans face increasing risks of extreme weather events. To mitigate the risks, we build strong infrastructure and improve our predictive capabilities. Weather predictability has been studied extensively in the past decades, and the weather prediction skills have been improving consistently. We have limited weather predictability due to the chaotic nature and strong sensitivity to the initial conditions. This session welcomes presentations about the topics related to sensitivities, predictability and modifications of extreme weather events, including but not limited to theoretical and mathematical explorations, simulation studies, engineering approaches, and humanity aspects such as ethical, legal, social and economical issues.
Co-Sponsor(s):
  • GC - Global Environmental Change
  • H - Hydrology
  • IN - Informatics
  • NH - Natural Hazards
Index Terms:

1817 Extreme events [HYDROLOGY]
1922 Forecasting [INFORMATICS]
3315 Data assimilation [ATMOSPHERIC PROCESSES]
4335 Disaster management [NATURAL HAZARDS]
Primary Convener:  Takemasa Miyoshi, RIKEN Center for Computational Science, Kobe, Japan
Conveners:  Tetsuo Nakazawa1, Shu-Chih Yang2 and Kohei Takatama1, (1)JST, Tokyo, Japan(2)National Central University, Zhongli, Taiwan
 
Heavy Rainfall Control by Wind Intervention (Invited) (1871096)
Kosei Yamaguchi, Disaster Prevention Research Institute, Kyoto University, Uji, Kyoto, Japan
 
Numerical Simulation of Tropical Cyclone Sensitivity to Hygroscopic Aerosol Concentrations: A Case Study of Typhoon Faxai 2019 (1890295)
Ryuji Yoshida1, Hironori Fudeyasu1, Ryosuke Yasui2, Toshihiko Takemura3 and Yousuke Sato4, (1)Yokohama National University, Yokohama, Japan, (2)Meteorological Research Institute, Ibaraki, Japan, (3)Kyushu University, Research Institute for Applied Mechanics, Fukuoka, Japan, (4)RIKEN, Advanced Institute for Computational Science, Kobe, Japan
 
Suppression of Tropical Cyclone Development by Lower-Tropospheric Diabatic Heating outside the Eyewall (1906293)
Hironori Fudeyasu, Yokohama National University, Yokohama, Japan and Yuqing Wang, Univ Hawaii, International Pacific Research Center and Department of Meteorology, Honolulu, HI, United States
 
Exploring Cloud Seeding Impacts on Typhoon Hagibis Using NHM-Chem Model (1906306)
Shun Hirose1, Hironori Fudeyasu1, Mizuo Kajino2, Yasutomo Kiyohara1, Takuya Tobara1 and Ryuji Yoshida1, (1)Yokohama National University, Yokohama, Japan, (2)Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan
 
Idealized Numerical Simulation for the impact of Condensation Nuclei Concentration on Tropical Cyclone intensity (1909652)
Yuki Kudo and Ryuji Yoshida, Yokohama National University, Yokohama, Japan
 
Impact of Cloud Condensation Nuclei Concentration on Convection During the Genesis of Typhoon Faxai in 2019 (1909659)
Motoki Shibata and Ryuji Yoshida, Yokohama National University, Yokohama, Japan
 
Weather Jiu-Jitsu: Steering Tropical Cyclones with Small Perturbations of the Jet Stream in Experiments with Deep Learning Foundation Models (1931639)
Qin Huang1, Moyan Liu1, Upmanu Lall2,3, Yeongbin Kwon4, Hyun-Han Kwon5 and Yuan Liu6, (1)Arizona State University, School of Complex Adaptive Systems, Tempe, AZ, United States, (2)Arizona State University, Water Institute, Tempe, United States, (3)Columbia University, Columbia Water Center, New York, United States, (4)Seoul National University, Civil & Environmental Engineering, Seoul, South Korea, (5)Sejong University, Department of Civil and Environmental Engineering, Seoul, South Korea, (6)University of Wisconsin-Madison, Civil and Environmental Engineering, Madison, United States
 
Statistical Assessment of Regional Precipitation Ensembles Generated by a Diffusion Model (1934562)
Natsumi Saito, Daiya Shiojiri and Shunji Kotsuki, Chiba University, Chiba, Japan
 
Weather Jiu Jitsu: Toward Adaptive Control of Extreme Weather Regimes Using the Seasonally Forced Lorenz-84 Model (1950864)
Moyan Liu1, Qin Huang1 and Upmanu Lall2,3, (1)Arizona State University, School of Complex Adaptive Systems, Tempe, AZ, United States, (2)Columbia University, Earth and Environmental Engineering, New York, United States, (3)Arizona State University, Water Institute, School of Complex Adaptive Systems, Tempe, United States
 
Numerical Experiments of Cloud Seeding for Mesoscale Convective Systems in Japan: A Strategy for Mitigating Localization of Heavy Rainfall (1953189)
Yusuke Hiraga1, Jacqueline Mbugua1, Shunji Kotsuki2, Yoshiharu Suzuki3, Shu-Hua Chen4, Atsushi Hamada5, Kazuaki Yasunaga5 and Takuya Funatomi6, (1)Tohoku University, Department of Civil and Environmental Engineering, Sendai, Japan, (2)Chiba University, Center for Environmental Remote Sensing, Chiba, Japan, (3)Hosei University, Department of Civil and Environmental Engineering, Tokyo, Japan, (4)University of California Davis, Department of Land, Air and Water Resources, Davis, United States, (5)University of Toyama, Faculty of Sustainable Design, Toyama, Japan, (6)Kyoto University, Academic Center for Computing and Media Studies, Kyoto, Japan
 
Climate Model Downscaling Techniques Using DDPM (1973391)
Ryo Kaneko, Atsushi Okazaki and Shunji Kotsuki, Chiba University, Chiba, Japan
 
Precipitation Control via Ensemble-Based Convex Optimization of Time-Series State Perturbations (1978126)
Sung Ho Kim and Toshiyuki Ohtsuka, Kyoto University, Graduate School of Informatics, Kyoto, Japan
 
Ensemble-Based Model Predictive Control for Meteorological Applications: A case of August 2021 North Kyushu Heavy Rainfall (1991174)
Atsushi Okazaki and Kenta Kurosawa, Chiba University, Chiba, Japan
 
Ensemble-based Analysis of Line-shaped Convective Systems in Japan Toward the Design of Atmospheric Modification using Offshore Curtain (1993066)
Akiyuki Ono1, Yukari Naka2 and Kosei Yamaguchi2, (1)Faculty of Societal Safety Scinences, Kansai University, Takatsuki, Osaka, Japan, (2)Disaster Prevention Research Institute, Kyoto University, Uji, Kyoto, Japan
See more of: Atmospheric Sciences
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