Research field (2):
Atmospheric and hydrospheric science
, Statistical science
Research keywords (12):
Ocean Prediction
, Coupled Data Assimilation
, Data Assimilation
, Optimization
, Adjoint Method
, Observing System Evaluation
, エルニーニョ
, ENSO
, 海洋データ同化
, El-Nino
, ENSO
, Ocean Data Assimilation
Research theme for competitive and other funds (12):
2022 - 2025 Research on long-term wave characteristics of the Japan coasts by high-resolution reanalysis
2017 - 2022 結合データ同化システム開発の方法と応用
2015 - 2018 熱帯太平洋観測システム効率化への成長擾乱・時空間変動特性の利用に関する研究
2014 - 2017 Overturning circulation that connects the surface and intermediate layers in the North Pacific: A new perspective on its three-dimensional structure and variability
Yosuke Fujii, Ichiro Ishikawa, Shoji Hirahara. Early results of OSEs conducted for the SynObs international multi-system OSE effort using an Japanese operational system. 2024
Yosuke Fujii, Takuma Yoshida, Hiroyuki Sugimoto, Ichiro Ishikawa, Shogo Urakawa. Evaluation of a global ocean reanalysis generated by a global ocean data assimilation system based on a four-dimensional variational (4DVAR) method. Frontiers in Climate. 2023. 4
Y. Fujii, T. Yoshida, Y. Kubo. Ensemble Member Generation Based on the BFGS Formula in a Variational Data Assimilation System. Proceedings of the Institute of Statistical Mathematics. 2022. 70. 2. 209-233
Y. Niwa, Y. Fujii. Estimation of a Posterior Error Covariance Matrix Using Conjugate Vectors and the BFGS Formula. Proceedings of the Institute of Statistical Mathematics. 2022. 70. 2. 195-208
平原翔二, 久保勇太郎, 吉田拓馬, 小森拓也, 高倉寿成, 金濱貴史, 杉本裕之, 足立恭将, 石川一郎, 藤井陽介. 気象庁/気象研究所結合予測システムバージョン3 (JMA/MRI-CPS3). Journal of the Meteorological Society of Japan. 2022
Development of Four-Dimensional Variational Global Ocean Data Assimilation System for Coupled Predictions in Japan Meteorological Agency and Evaluation of the effects of Argo Data Quality Control in the System
(8th Annual meeting of the OceanPredict Science Team 2023)
UN Ocean Decade Project SynObs Activity Report
(8th Annual Meeting of OceanPredict Science Team 2023)
Impacts of Four-Dimensional Variational (4DVAR) Method on Ocean Reanalysis Systems in JMA
(Ocean Reanalyses Workshop of the Copernicus Marine Service 2023)
Introduction of Ocean Reanalyses of Japan Meteorological Agency (JMA)
(Ocean Reanalyses Workshop of the Copernicus Marine Service 2023)
Development of coupled atmosphere-ocean data assimilation: Achievements and a perspective
(ECMWF Annual Seminar 2023 2023)
2016/02 - Meteorological Research Institute Director General Award Contribution to developing global ocean data assimilation system and introducing it to the seasonal forecasting system