<strong>Advancing Extreme Precipitation Modeling and Its Application to Hydrological Simulations Using Machine Learning and Data Fusion</strong>

Muhammad Umar Nadeem

Presentation information

[E] Oral

H (Human Geosciences ) » H-CG Complex & General

[H-CG19] Adaptation to climate change and its social implementation

Sun. May 24, 2026 10:45 AM - 12:15 PM Exhibition Hall Special Setting (3) (Exhibition Hall 7&8, Makuhari Messe)

Chairperson:Ishikawa Yoichi(JAPAN Agency for Marine-Earth Science and Technology), DAIRAKU KOJI(University of Tsukuba), Tamura Makoto(Ibaraki University), Guo Qiang(The University of Tsukuba), Xu Weixuan(Princeton University)

11:00 AM - 11:15 AM

[HCG19-07] Advancing Extreme Precipitation Modeling and Its Application to Hydrological Simulations Using Machine Learning and Data Fusion

*Muhammad Umar Nadeem¹, KOJI DAIRAKU¹ (1. Faculty of Engineering, Information and Systems University of Tsukuba 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573 Japan)

Keywords:Climate change, Extreme precipitation, Precipitation data fusion, Machine learning, Hydrological Simulations, Flood risk assessment