Research Hub for the Big Data Analysis of Global Water Cycle and Precipitation in Changing Climate

In order to contribute to building a society resilient to water-related disasters such as floods and draughts in this changing climate, we develop a research hub for a novel science to deepen the understanding of clouds and precipitation processes through utilizing the big data obtained from satellite earth observations and climate model simulations. Even with the state-of-the-art climate models, it is difficult to predict future changes of precipitation characteristics accurately, which is essential for policy makers. Our research focuses on connecting the earth observations and climate model simulations to the physical understanding of processes by taking advantage of new information and communication techniques. This research is also aimed at improving the climate model capability to represent precipitation characteristics accordingly.

- Masahide Kimoto (AORI, the University of Tokyo)
- Masaki Satoh (AORI, the University of Tokyo)
- Kentaroh Suzuki (AORI, the University of Tokyo)
- Ryoichi Imasu (AORI, the University of Tokyo)
- Masahiro Watanabe (AORI, the University of Tokyo)
- Akira Oka (AORI, the University of Tokyo)
- Hiroyasu Hasumi (AORI, the University of Tokyo)
- Eitaroh Oka (AORI, the University of Tokyo)
- Kei Yoshimura (IIS, the University of Tokyo)
- Kensuke Fukushi (IR3S, the University of Tokyo)
- Fumiko Kasuga (IR3S, the University of Tokyo)
- Riko Oki (JAXA)

- Hamada, A., Y. N. Takayabu, C. Liu, and E. J. Zipser, 2015: Weak linkage between the heaviest rainfall and tallest storms. Nat. Commun., Vol. 6(6213), doi: http://dx.doi.org/10.1038/ncomms7213.