PEAK Staff Profile

Dai Yamazaki,
Associate Professor – Environmental Sciences

Contact : yamadai[at]iis.u-tokyo.ac.jp

Profile

Dai Yamazaki Dai Yamazaki is Associate Professor at Institute of Industrial Science, The University of Tokyo. He has been working on the development of a global-scale river hydrodynamics model, focusing on how to simultaneously represent the continental-scale water balance and local-scale flood dynamics. The "CaMa-Flood" global river model developed by Dr. Yamazaki and his colleagues is now widely used for earth system modelling and global flood risk studies by many research teams in the world. He also made significant contributions to the development of high-quality global hydro-topography maps which are used as baseline data for earth science, such as flood simulations, land hydrology modelling, and biogeochemistry. He is also working many other topics such as remote sensing of surface waters, Earth system model development, climate risk information. His academic contribution was honored with multiple awards, including "JSPS Ikushi Prize" (2012) and "The Commendation for Science and Technology by the Japan Minister of Education, Culture, Sports, Science and Technology" (2019, 2021), and AOGS Kamide Lecture Award (2020).

Research Interests

Global Hydrodynamics, Earth System Science, Climate Change

Selected Publications

A physically-based description of floodplain inundation dynamics in a global river routing model
Yamazaki D., S. Kanae, H. Kim, T. Oki,
Water Resources Research, vol.54, W04501, 2011, DOI 10.1029/2010WR009726

A high-accuracy map of global terrain elevations
Yamazaki D., D. Ikeshima, R. Tawatari, T. Yamaguchi, F. O’Loughlin, J.C. Neal, C.C. Sampson, S. Kanae, P.D. Bates
Geophysical Research Letters, vol.44, pp.5844-5853, 2017, DOI 10.1029/2019WR024873

Assimilation of transformed water surface elevation to improve river discharge estimation in a continental-scale river
Menaka Revel, Xudong Zhou, Dai Yamazaki, Shinjiro Kanae
Hydrology and Earth System Sciences, 27(3), 647-671, 2023. DOI 10.5194/hess-27-647-2023

WebPage
https://global-hydrodynamics.github.io/