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Acknowledgments

169

Acknowledgments

I am most grateful to Profs. Yu Kosaka and Masahiro Watanabe for their invaluable advice

and continuous support during this study. I would like to express my sincere gratitude to the

members of this dissertation committee, Profs. Hisashi Nakamura, Yukio Masumoto, Masaki

Sato, Masahiro Watanabe, and Tomoki Tozuka.

My sincere thanks also go to people in JMA, Messrs. Shuhei Maeda and Ichiro Ishikawa,

who provided guidance and encouragement, and Messrs. Yutaro Kubo, Shoji Hirahara, and

Chihiro Matsukawa for their assistance on model experiments. I would also thank Drs. Hirokazu Endo, Tomoaki Ose, Chiaki Kobayashi, and Naoaki Saito for their valuable supports

on a part of this study. The seasonal prediction system used in this study has been developed

at the Climate Prediction Division and the Meteorological Research Institute of JMA. This

work could not be done without great efforts by many staffs of a development team. The

author greatly appreciates all the researchers and staffs who contributed to and supported the

development of the seasonal prediction system. Finally, I would like to thank my family for

their continuous support and encouragement.

The JRA-55 reanalysis and COBE-SST datasets and RSMC Tokyo best track analysis data

were provided by JMA. The CMAP data provided by the NOAA/OAR/ESRL PSD, Boulder,

Colorado, USA, from their website at http://www.esrl.noaa.gov/psd/. The GPCP data

provided by the NOAA/OAR/ESRL PSL, Boulder, Colorado, USA, from their Web site at

https://psl.noaa.gov/data/gridded/data.gpcp.html.

This study was supported by JSPS KAKENHI Grant Numbers JP17K14395 and JP17K01223,

the Integrated Research Program for Advancing Climate Models (TOUGOU) Grant Number

JPMXD0717935561 from the Ministry of Education, Culture, Sports, Science and Tech-

170

Acknowledgments

nology (MEXT), Japan, and the Environment Research and Technology Development Fund

(JPMEERF20192004) of the Environmental Restoration and Conservation Agency of Japan.

...