Current Projects
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
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
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: 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 (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