Over 5,000 Years of Ensemble Future Climate Simulations by 60-km Global and 20-km Regional Atmospheric Models

Author:

Mizuta Ryo1,Murata Akihiko1,Ishii Masayoshi1,Shiogama Hideo2,Hibino Kenshi3,Mori Nobuhito4,Arakawa Osamu3,Imada Yukiko1,Yoshida Kohei1,Aoyagi Toshinori1,Kawase Hiroaki1,Mori Masato4,Okada Yasuko4,Shimura Tomoya4,Nagatomo Toshiharu3,Ikeda Mikiko5,Endo Hirokazu1,Nosaka Masaya1,Arai Miki6,Takahashi Chiharu6,Tanaka Kenji4,Takemi Tetsuya4,Tachikawa Yasuto7,Temur Khujanazarov4,Kamae Youichi3,Watanabe Masahiro6,Sasaki Hidetaka1,Kitoh Akio3,Takayabu Izuru1,Nakakita Eiichi4,Kimoto Masahide6

Affiliation:

1. Meteorological Research Institute, Tsukuba, Ibaraki, Japan

2. National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan

3. University of Tsukuba, Tsukuba, Ibaraki, Japan

4. Disaster Prevention Research Institute, Kyoto University, Uji, Kyoto, Japan

5. Japan Agency for Marine-Earth Science and Technology, Yokohama, Kanagawa, Japan

6. Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Chiba, Japan

7. Graduate School of Engineering, Kyoto University, Kyoto, Japan

Abstract

Abstract An unprecedentedly large ensemble of climate simulations with a 60-km atmospheric general circulation model and dynamical downscaling with a 20-km regional climate model has been performed to obtain probabilistic future projections of low-frequency local-scale events. The climate of the latter half of the twentieth century, the climate 4 K warmer than the preindustrial climate, and the climate of the latter half of the twentieth century without historical trends associated with the anthropogenic effect are each simulated for more than 5,000 years. From large ensemble simulations, probabilistic future changes in extreme events are available directly without using any statistical models. The atmospheric models are highly skillful in representing localized extreme events, such as heavy precipitation and tropical cyclones. Moreover, mean climate changes in the models are consistent with those in phase 5 of the Coupled Model Intercomparison Project (CMIP5) ensembles. Therefore, the results enable the assessment of probabilistic change in localized severe events that have large uncertainty from internal variability. The simulation outputs are open to the public as a database called “Database for Policy Decision Making for Future Climate Change” (d4PDF), which is intended to be utilized for impact assessment studies and adaptation planning for global warming.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference42 articles.

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