NAKANO NAOTO    Department   Graduate School  , Graduate School of Advanced Mathematical Sciences    Position   Associate Professor (non-tenured)
Research Period	2013/04～2015/03
Research Topic	Construction of mathematical models for long-term forecast of atmospheric variation by climate time-series
Research Type	KAKENHI Research
Consignor	Japan Society for the Promotion of Science
Research Program Type	Grant-in-Aid for Challenging Exploratory Research
KAKENHI Grant No.	25610028
Responsibility	Research Contributor
Representative Person	SAKAJO Takashi
Collaborative Researcher	MIYOSHI Takemasa
Details	With close cooperation between mathematicians and meteorologist, the following　research have been promoted. Firstly, we have developed a theoretical procedure to derive an empirical stochastic differential equation from climate time-series. It is applied to time-series of the tropospheric and the stratospheric winter-time low-frequency variability, which were published in an international journal. This procedure is applicable to the construction of wide range of atmospheric phenomena. Secondly, we constantly hold joint workshops between Kyoto University and RIKEN AICS on the data assimilation. They yield the development of a new non-Gaussian and non-linear data assimilation technique, which is now under close investigation as a seed research topic. Finally, we have carried out a fundamental research on the characterization of the data assimilation as chaos synchronization, which is to be a promising future perspective on the theoretical understanding of the data assimilation.