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J-GLOBAL ID:201101067705643788   Update date: Apr. 06, 2024

Miyoshi Takemasa

ミヨシ タケマサ | Miyoshi Takemasa
Affiliation and department:
Other affiliations (6):
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Homepage URL  (1): http://data-assimilation.riken.jp/~miyoshi/
Research field  (1): Atmospheric and hydrospheric science
Research theme for competitive and other funds  (7):
  • 2019 - 2024 Comprehensive picture of atmospheric circulation of Venus revealed by AKATSUKI data assimilation
  • 2018 - 2021 Development of innovative data assimilation for reconstruction of weather and climate before 20th century
  • 2019 - 2020 A study on the atmospheric circulation of Venus by the use of AKATSUKI data assimilation
  • 2015 - 2018 Process based Crop Yield Prediction Using Satellite Observations
  • 2013 - 2017 Study of covariability processes between the atmosphere and surface ocean using a coupled atmosphere-ocean data assimilation system
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Papers (182):
  • Shun Ohishi, Takemasa Miyoshi, Misako Kachi. Impact of atmospheric forcing on SST biases in the LETKF-based ocean research analysis (LORA). Ocean Modelling. 2024. 189. 102357-102357
  • Kazuo Saito, Takuya Kawabata, Hiromu Seko, Takemasa Miyoshi, Le Duc, Tsutao Oizumi, Masaru Kunii, Guixing Chen, Kosuke Ito, Junshi Ito, et al. Forecast and Numerical Simulation Studies on Meso/Micro-scale High-Impact Weathers Using High-Performance Computing in Japan. Numerical Weather Prediction: East Asian Perspectives. 2023. 461-481
  • Takemasa Miyoshi, Arata Amemiya, Shigenori Otsuka, Yasumitsu Maejima, James Taylor, Takumi Honda, Hirofumi Tomita, Seiya Nishizawa, Kenta Sueki, Tsuyoshi Yamaura, et al. Big Data Assimilation: Real-time 30-second-refresh Heavy Rain Forecast Using Fugaku During Tokyo Olympics and Paralympics. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. 2023
  • Kenta Kurosawa, Shunji Kotsuki, Takemasa Miyoshi. Comparative study of strongly and weakly coupled data assimilation with a global land-atmosphere coupled model. Nonlinear Processes in Geophysics. 2023. 30. 4. 457-479
  • Honda T, Sato, Y, Miyoshi, T. Regression-based ensemble perturbations for the zero-gradient issue posed in lightning-flash data assimilation with an ensemble Kalman filter. Monthly Weather Review. 2023. 151. 10. 2573-2586
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MISC (134):
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Professional career (1):
  • Ph.D. (University of Maryland)
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