JpGU-AGU Joint Meeting 2026

Session information

[E] Poster

U (Union ) » Union

[U-02] Applied Math Perspectives on Modeling, Analyzing, and Predicting Complex Geophysical Systems

Mon. May 25, 2026 5:15 PM - 7:00 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

Nonlinear phenomena in complex multiscale turbulent dynamic systems are ubiquitous in geoscience. Effective modeling methods and efficient computational analysis in these geophysical processes remain a significant challenge in contemporary science, with substantial social implications for pressing issues in many geophysical, ocean, and atmospheric fields. Modeling, analyzing, and forecasting these complex systems is especially challenging due to the intermittent energy transfer between unresolved subscales induced by nonlinear effects and the occurrence of extreme events. Therefore, it is of practical importance to develop novel models, design new numerical algorithms, and implement model-based and machine-learning techniques to advance efficient forecasts and enhance our understanding of nature. This session aims to integrate novel applied math tools with geophysical systems. The main themes will include, but not be limited to, local- and global-scale dynamical modeling, stochastic and statistical reduced-order models, machine learning theory and algorithms, understanding intermittency, predicting rare and extreme events, analyzing observational data, data-driven techniques, multiscale analysis, optimal design, hybrid methods, data assimilation, and uncertainty quantification. Studies focusing on modeling and predicting specific phenomena such as ENSO, Monsoon, MJO, atmospheric rivers, hurricanes, and sea ice also belong to the main themes. In addition, applications such as case studies and the development of new datasets, software, and open-source codes are also welcome.

5:15 PM - 7:00 PM

*Ziyi Peng1,4, Mu Mu1,2,3, Hao Li5,4 (1. Dept. Atmos. Oceanic Sci./Inst. Atmos. Sci., Fudan Univ., 2. Shanghai Key Lab. Ocean-Land-Atmos. Boundary Dyn. Climate Change, Fudan Univ., 3. Shanghai Frontiers Sci. Ctr. Atmos.-Ocean Interact., 4. Shanghai Acad. Artif. Intell. Sci., 5. Artif. Intell. Innov. Incub. Inst., Fudan Univ.)

5:15 PM - 7:00 PM

*Nishant Prajapati1, Daniel Schneider1,2,3, Britta Nestler1,2,3 (1. Institute of Nanotechnology - Microstructure Simulation (INT-MSS), Karlsruhe Institute of Technology (KIT), 2. Institute of Digital Materials Science (IDM), Karlsruhe University of Applied Sciences, 3. Institute for Applied Materials - Microstructure Modelling and Simulation (IAM-MMS), Karlsruhe Institute of Technology (KIT))

5:15 PM - 7:00 PM

*Seungwon Seok1, Jaeyoung Jung1, Hyunsoo Park1, Huiwon Yang2, Donghyeon Kim2, Taegon Kim1,2,3 (1. Department of Agricultural Engineering, College of Agricultural & Life Sciences, Jeonbuk National University, Jeonju, 54896, Korea, Republic of South Korea, 2. Department of Smart Farm, Jeonbuk National University, Jeonju, 54896, Republic of Korea, 3. Institute of Agricultural Science & Technology, Jeonbuk National University, Jeonju, 54896,)

5:15 PM - 7:00 PM

*Xinyi Du1, Wenbin Chen1,2, Xiong Hu3,4, Junfeng Yang3,4, Zhijin Li5,6, Shuai Lu1,2, Zewei Wang7,8, Cunying Xiao7,8 (1. School of Mathematical Sciences, Fudan University, Shanghai 200433, China, 2. Shanghai Key Laboratory for Contemporary Applied Mathematics, Fudan University, Shanghai 200433, China, 3. State Key Laboratory of Space Weather, National Space Science Center, Chinese Academy of Sciences, Beijing 100045, China, 4. Key Laboratory of Science and Technology on Environmental Space Situation Awareness, National Space Science Center, Chinese Academy of Sciences, Beijing 100045, China, 5. Department of Atmospheric and Oceanic Sciences, Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, China, 6. Shanghai Key Laboratory of Ocean-land-atmosphere Boundary Dynamics and Climate Change, Shanghai 200438, China, 7. School of Physics and Astronomy, Beijing Normal University, Beijing 100875, China, 8. Institute for Frontiers in Astronomy and Astrophysics, Beijing Normal University, Beijing 102206, China)

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