Theme A:Prediction and diagnosis of imminent global climate change

Representative: Masahide Kimoto
Vice Director/Professor, AORI,
the University of Tokyo

The coming global warming is unavoidable, and all segments of society are seeking ways to adapt to it. In an effort toward providing climate change risk information and contributing to building a society highly adaptive to climate change, this theme develops a climate prediction system that enables verification using observation data on various timescales and provides climate projection information with high reliability. We aim to improve the reliability of projections of future climate changes through analyzing major contributing factors, verifying hindcasts, and assessing the impacts of anthropogenic factors associated with past climate changes involving severe weather and extreme events. In addition, we attempt to reduce the uncertainty in climate projection due to physical processes controlling climate sensitivity through verification using observation data, which is a yardstick of climate system responsiveness to external forcing such as that caused by changes in concentration of carbon dioxide.

 Research subject
Research Subject Sub-Research Subject Institutes & Representatives
Understanding mechanisms of climate variability and change  a Studies on prediction and predictability of climate variability
from interannual to decadal time scales
AORI AORI Associate Professor Masahiro Watanabe Associate Professor
Masahiro Watanabe
b ①Towards reducing uncertainty in model-based estimation of climate sensitivity NIES
NIES Senior Researcher Tomoo Ogura
Senior Researcher
Tomoo Ogura
②Reduction of uncertainty in climate models relevant to climate sensitivity JAMSTEC
JAMSTEC Senior Scientist Masaki Sato
Senior Scientist
Masaki Sato
Development of an integrated prediction system for global climate studies a Development of a seamless prediction system for seasonal-to-decadal time scales MRI MRI Senior Researcher Masayoshi Ishii
Senior Researcher
Masayoshi Ishii
b Development of data assimilation technology for optimizing initial and boundary conditions JAMSTEC
JAMSTEC Unit Leader Hiroaki Tatebe
Research Unit Leader
Hiroaki Tatebe
MEXT