研究者
J-GLOBAL ID:201101067705643788   更新日: 2020年09月01日

三好 建正

ミヨシタケ マサ | Miyoshi Takemasa
所属機関・部署:
職名: チームリーダー
その他の所属(所属・部署名・職名) (2件):
ホームページURL (1件): http://data-assimilation.jp/miyoshi/
論文 (110件):
  • Komori Nobumasa, Enomoto Takeshi, Miyoshi Takemasa, Yamazaki Akira, Kuwano-Yoshida Akira, Taguchi Bunmei. Ensemble-Based Atmospheric Reanalysis Using a Global Coupled Atmosphere-Ocean GCM. MONTHLY WEATHER REVIEW. 2018. 146. 10. 3311-3323
  • Sam Hatfield, Peter DÃ, ben, Matthew Chantry, Keiichi Kondo, Takemasa Miyoshi, Tim Palmer. Choosing the Optimal Numerical Precision for Data Assimilation in the Presence of Model Error. Journal of Advances in Modeling Earth Systems. 2018
  • Shunji Kotsuki, Koji Terasaki, Hisashi Yashiro, Hirofumi Tomita, Masaki Satoh, Takemasa Miyoshi. Online Model Parameter Estimation With Ensemble Data Assimilation in the Real Global Atmosphere: A Case With the Nonhydrostatic Icosahedral Atmospheric Model (NICAM) and the Global Satellite Mapping of Precipitation Data. Journal of Geophysical Research: Atmospheres. 2018. 123. 14. 7375-7392
  • Guo-Yuan Lien, Daisuke Hotta, Eugenia Kalnay, Takemasa Miyoshi, Tse-Chun Chen. Accelerating assimilation development for new observing systems using EFSO. Nonlinear Processes in Geophysics. 2018. 25. 1. 129-143
  • Yohei Sawada, Tosiyuki Nakaegawa, Takemasa Miyoshi. Hydrometeorology as an Inversion Problem: Can River Discharge Observations Improve the Atmosphere by Ensemble Data Assimilation?. Journal of Geophysical Research: Atmospheres. 2018. 123. 2. 848-860
もっと見る
MISC (20件):
学位 (1件):
  • Ph.D. (University of Maryland)
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