YOSHIMURA Kei Professor

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Special Field of Study

Isotope Meteorology

Departments and Research Centers

Department of Human and Social Systems

Large-Scale Experiment and Advanced-Analysis Platform(LEAP)

Disaster Management Training Center (DMTC)

Global Hydrological Prediction Center

Educational Systems

Civil Engineering : Graduate School of Engineering

Natural Environmental Studies : Graduate School of Frontier Sciences

Posters

Keywords

stable water isotopes, dynamical downscaling, data assimilation, integrated land simulator, climate change, paleoclimate, satellite observation, flood forecast

2026.02.12

Press Release

Multi-model isotope simulations reveal a unified picture of Earth’s water cycle――The Water Isotope Model Intercomparison Project (WisoMIP)――

Researchers from #UTokyo_IIS track the global circulation of water molecules in time and space using isotope ensemble modeling, enabling better prediction of changing hydrological patterns and weather extremes

2025.09.25

Press Release

Avoiding static land surface models: improvements in simulating water–energy–vegetation dynamics

Researchers from #UTokyo_IIS consider waterflows and vegetation mosaic on hillslopes for accurate simulation of land surface water and energy status across Africa

2025.07.02

Press Release

What about tritiated water release from Fukushima? Ocean model simulations provide an objective scientific knowledge on the long-term tritium distribution

Using a global ocean model, researchers from #UTokyo_IIS and the Institute of Environmental Radioactivity, Fukushima University, found that short- and long-term contribution of treated water released from the Fukushima Daiichi Nuclear Power Plant on oceanic tritium concentration beyond the vicinity of the discharge site is negligible, even in climate change scenarios

2023.06.27

Press Release

Development of a high-resolution method for climate model simulation using machine learning

Researchers from #UTokyo_IIS have developed a high-resolution method for climate model simulation.

2022.05.13

Press Release

Machine learning produces more accurate rainfall predictions

Researchers from the Institute of Industrial Science, The University of Tokyo, develop a novel method for more accurate prediction of local rainfall patterns

2022.02.02

Press Release

Red snow phenomena are a balancing act

2021.09.14

Press Release

Better Weather Forecasting Through Satellite Isotope Data Assimilation

Researchers from The University of Tokyo assimilated satellite observations of water vapor isotopes into a weather forecasting model and found that forecast accuracy was improved by several percentage points

2021.06.18

Press Release

Earlier flood forecasting could help avoid disaster in Japan

Researchers from The University of Tokyo Institute of Industrial Science develop a flood forecasting system that could help protect people and property during typhoons

2019.11.29

Press Release

Flood Alert! Researchers devise powerful new flood monitoring system for Japan

Researchers led by The University of Tokyo have successfully validated a new high-resolution flood monitoring system to support early warning flood prediction across Japan

2018.07.03

Press Release

Artificial Intelligence Accurately Predicts Distribution of Radioactive Fallout

2017.05.10

Press Release

Quantifying transpiration from plants at the global scale---Details of the global hydrological cycle revealed by stable oxygen and hydrogen isotope ratio of water ---- Associate Professor Kei Yoshimura

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