Current Projects
RIKEN TRIP (Transformative Research Innovation Platform of RIKEN platforms): Pioneer prediction science with AI × Mathematical Science
FY2024-FY2031, TRIP2 Project Leader: Tetsuo Hatsuda, Theme Leader: Takemasa Miyoshi
CREST[Prediction Mathematical Foundation] Creation of Mathematical Foundation for Prediction and Control: 現象ボトムアップモデルを活用した疾病予防のリアルタイム予測と制御の実現
FY2024-FY2029, PI: Hiroshi Nishiura, Kyoto university, Co-PI: Takemasa Miyoshi
KAKEN Grant-in-Aid for Scientific Research (S): Circulation of Venus atmosphere from the surface to the upper atmosphere driven by waves and convection
FY2024-FY2028, PI: Takeshi Imamura, The university of Tokyo, Co-PI: Takemasa Miyoshi
Collaborative research between RIKEN and Chinese universities / research institutions by MOST: Comprehensive earthquake forecast model based on multi-geophysical data assimilation
FY2023-FY2026, RIKEN PI: Takemasa Miyoshi
RIKEN International Collaboration Program with Strategic Research Partners: RIKEN-University of Melbourne Comprehensive Collaboration in Biotechnology and the Environment
FY2022-FY2026, PI: RIKEN Yohei Hayashi, R-CCS Group Leader: Takemasa Miyoshi
JAXA EORA3: Advances and applications of satellite data assimilation of clouds, precipitation, and the ocean
FY2022-FY2024, PI: Takemasa Miyoshi
SATREPS: The project for numerical weather prediction and warning communication system for densely populated and vulnerable cities
FY2022-FY2026, PI: Takemasa Miyoshi
The Moonshot Program for agriculture, forestry and fisheries: Construction of circulating production platform by environmental control based on Soil Microbe Altas
FY2020-FY2024, PI: Professor Haruko Takeyama, Co-PI: Takemasa Miyoshi
Joint research ALE Co.,Ltd.: 人工衛星搭載マイクロ波放射計を生かした数値天気予報とAI気象サービスに関する研究
FY2021-FY2024, PI: Takemasa Miyoshi
This joint research is a part of Industry-Academia collaboration project AETHER.
RIKEN Pioneering Project: Prediction for Science
FOCUS Establishing Supercomputing Center for Excellence (Hyogo/Kobe): Computational Science for making Resilient Society by Simulating Hazards
FY2021-FY2024, PI: Satoru Oishi (RIKEN), Co-PI: Takemasa Miyoshi
KAKEN Grant-in-Aid for Early-Career Scientists: Revolutionizing Seamless Precipitation Forecast: Machine Learning-Driven Assimilation of Satellite Precipitation Observations in NICAM-LETKF for Powering Global Diurnal and Heavy Rainfall Predictions
FY2024-FY2027, PI: Konduru RakeshTeja
KAKEN Grant-in-Aid for Early-Career Scientists: 高解像度海洋データ同化システムによるアンサンブル予測研究
FY2023-FY2027, PI: shun Ohishi
KAKEN Grant-in-Aid for Early-Career Scientists: Development of a new probabilistic expression for short-period precipitation forecast based on a large ensemble
FY2021-FY2025, PI: Arata Amemiya
Past Project
KAKEN Grant-in-Aid for Scientific Research (S): Comprehensive picture of atmospheric circulation of Venus revealed by AKATSUKI data assimilation
FY2019-FY2023, PI: Yoshi-Yuki Hayashi (Kobe U), Co-PI: Takemasa Miyoshi
KAKEN Grant-in-Aid for Scientific Research (B): Development of lightning model for lightning prediction using numerical weather model
FY2020-FY2024, PI: Yousuke Sato (Hokkaido University), Co-PI: Takumi Honda
KAKEN Grant-in-Aid for Early-Career Scientists: Exploring the predictability limit of sudden rainfall using high-resolution ensemble forecasts
FY2020-FY2023, PI: Takumi Honda
Joint research Taiwan MOST - RIKEN: Advancing the convective-scale ensemble data assimilation to assimilate large-volume radar data and its impact on heavy rainfall prediction
FY2021-FY2022, PI(Japan side): Takemasa Miyoshi
Program for Promoting Researches on the Supercomputer Fugaku: Large Ensemble Atmospheric and Environmental Prediction for Disaster Prevention and Mitigation
CREST [Artificial Intelligence] Development and Integration of Artificial Intelligence Technologies for Innovation Acceleration: Development and Social Implementation of On-Device Learning Technology
KAKEN Grant-in-Aid for Early-Career Scientists: Very dense and frequent lightning data assimilation for improving torrential rainfall forecasts
FY2018-FY2022, PI: Yasumitsu Maejima
Strategic International Collaborative Research Program (SICORP): Advanced ICT for monitoring freshwater ecosystem resilience
FY2018-FY2022, PI: Michio Kumagai (Ritsumeikan U), Co-PI: Takemasa Miyoshi
Moonshot Research & Development Program (MILLENNIA Program): Weather controllability research
FY2020-FY2021, PI: Takemasa Miyoshi
AIP Acceleration Research: Big Data Assimilation and AI Creating New Development in Real-time Weather Prediction
JAXA Collaborative Research:Enhancing Precipitation Prediction Algorithm by Data Assimilation of GPM Observations
FY2019-FY2021, PI: Takemasa Miyoshi
KAKENHI Grant-in-Aid for Early-Career Scientists (B): Understanding and improving convective-scale predictability
FY2016-FY2021, PI: Shigenori Otsuka
FOCUS Establishing Supercomputing Center for Excellence (Hyogo/Kobe): Computational Research on Estimation to Complex Disaster Risk for Better Urban Planning
FY2017-FY2020, PI: Hirofumi Tomita (RIKEN), Co-PI: Takemasa Miyoshi
KAKENHI Grant-in-Aid for Scientific Research (A): Building innovative data assimilation method for climate reconstruction before modern era
FY2018-FY2020, PI: Kei Yoshimura (U of Tokyo), Co-PI: Takemasa Miyoshi
TEPCO Collaborative Research: Research for advancing hydroelectric dam operations
FY2016-FY2019, PI: Takemasa Miyoshi
JAXA contract research: Development of data assimilation method for numerical weather prediction using next-generation satellite-borne precipitation radar data
FY2016-FY2019, PI: Takemasa Miyoshi
FOCUS Establishing Supercomputing Center for Excellence (Hyogo/Kobe): Computational Science Research of Urban Disaster Prevention Targeting Kansai Area- Making Hazard Map for Earthquake, Tsunami and Heavy Rainfall Disasters -
FY2012-FY2016, PI: Hirofumi Tomita (RIKEN), Co-PI: Takemasa Miyoshi
Strategic Basic Research Programs (CREST): Innovating “Big Data Assimilation” technology for revolutionizing very-short-range severe weather prediction
FY2013-FY2018, PI: Takemasa Miyoshi
Innovating "Big Data Assimilation" technology for revolutionizing very-short-range severe weather prediction
JAXA Precipitation Measuring Mission (PMM) Science: 8th Research Announcement: Enhancing Data Assimilation of GPM Observations
Social and scientific priority issues to be tackled by using Post K Computer: Advancement of meteorological and global environmental predictions utilizing observational “Big Data”
FY2014-FY2019, PI: Keiko Takahashi (JAMSTEC), Co-PI (subA): Hiroshi Seko (JAMSTEC), Co-PI (subA-1): Takemasa Miyoshi
Strategic Basic Research Programs (CREST): EBD: Extreme Big Data - Convergence of Big Data and HPC for Yottabyte Processing
FY2013-FY2018, PI: Satoshi Matsuoka (Tokyo Institute of Technology), Co-PI: Takemasa Miyoshi
Extreme Big Data (EBD) Next Generation Big Data Infrastructure Technologies Towards Yottabyte/Year
JAXA Precipitation Measuring Mission (PMM) Science, 7th Research Announcement: Ensemble-based Data Assimilation of TRMM/GPM Precipitation Measurements
FY2013-FY2015, PI: Takemasa Miyoshi
Ensemble-based Data Assimilation of TRMM/GPM Precipitation Measurements