Curriculum Vitae
Updated on 12/10/2017

Takemasa Miyoshi, Ph.D.

Team Leader
Data Assimilation Research Team
RIKEN Advanced Institute for Computational Science

Visiting Professor
University of Maryland, College Park

Visiting Principal Scientist
Application Laboratory, JAMSTEC

Research Counselor
Servicio Meteorológico Nacional (National Meteorological Service), Argentina

Education

  • 2005 Ph.D. in Meteorology, University of Maryland, College Park, Maryland, USA (Dissertation PDF)
  • 2004 M.S. in Meteorology, University of Maryland, College Park, Maryland, USA (Scholarly Paper PDF)
  • 2000 B.S. in Physics, Faculty of Science, Kyoto University, Kyoto, Japan

Professional experience

  • 2012-present Team Leader, Data Assimilation Research Team, RIKEN, Japan
  • 2013-present Visiting Professor, University of Maryland, College Park, Maryland
  • 2015-present Research Counselor, Servicio Meteorológico Nacional (National Meteorological Service), Argentina
  • 2017-present Visiting Principal Scientist, Application Laboratory, JAMSTEC, Japan
  • 2014-2017 Visiting Senior Scientist, Application Laboratory, JAMSTEC, Japan
  • 2013-2014 Visiting Senior Research Scientist, Earth Simulator Center, JAMSTEC, Japan
  • 2011-2012 Assistant Professor, University of Maryland, College Park, Maryland
  • 2009-2011 Research Assistant Professor, University of Maryland, College Park, Maryland
  • 2009-2009 Visiting Assistant Researcher, University of California, Los Angeles, California
  • 2005-2008 Scientific Official, Numerical Prediction Division, Japan Meteorological Agency
  • 2003-2005 Graduate Student, University of Maryland, College Park, Maryland
  • 2002-2003 Scientific Official, Numerical Prediction Division, Japan Meteorological Agency
  • 2000-2002 Technical Official, Planning Division, Japan Meteorological Agency

Honors and Awards

  • 2017 Progress in Earth and Planetary Science (PEPS) The Most Cited Paper Award 2017, Japan Geoscience Union, "The Non-hydrostatic Icosahedral Atmospheric Model: description and development" by Satoh et al.(2017年5月)
  • 2017 Editor's Award, Monthly Weather Review, American Meteorological Society, For prompt and detailed reviews of a large number of manuscripts (January 2017, American Meteorological Society Annual Meeting, Seattle, WA)
  • 2016 Progress in Earth and Planetary Science (PEPS) The Most Accessed Paper Award 2016, Japan Geoscience Union, "The Non-hydrostatic Icosahedral Atmospheric Model: description and development" by Satoh et al.(2016年5月22日)
  • 2016 Meteorological Society of Japan Award (2016年度日本気象学会賞、2016年5月19日「アンサンブルカルマンフィルタによるデータ同化の高度化に関する研究」)
  • 2015 Japan Geoscience Union Nishida Prize 2014 "Studies on advanced data assimilation for improving numerical weather prediction using the local ensemble transform Kalman filter" (2014年度地球惑星科学振興西田賞、2015年5月27日「局所アンサンブル変換カルマンフィルタによる数値データ同化手法の高度化の研究」)
  • 2014 The Young Scientists' Prize, The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology (科学技術分野の文部科学大臣表彰 若手科学者賞、2014年4月15日「地球環境シミュレーションにおけるデータ同化の研究」)
  • 2014 Hydraulic Engineering Paper Award, Committee on Hydroscience and Hydraulic Engineering, Japan Society of Civil Engineers (土木学会水工学委員会 水工学論文賞、2014年3月4日「アンサンブルカルマンフィルタを用いた水同位体比データ同化に向けた理想化実験」)
  • 2008 Yamamoto-Syono Award, Meteorological Society of Japan (日本気象学会 山本・正野論文賞、2008年11月20日「Local Ensemble Transform Kalman Filtering with an AGCM at a T159/L48 resolution. Mon. Wea. Rev., 135 (2007), 3841-3861. (by Miyoshi T. and S. Yamane)」)
  • 2006 Accepted participant of the ESF-JSPS Frontier Science Conference Series for Young Researchers, Nynashamn, Sweden (official URL)(Japanese report)
  • 2003-2005 Japanese Government Long-term Fellowship
  • 1996 First Japanese Delegate of National Youth Science Camp, WV, USA

Editorship of scientific journals

Funded projects as the lead PI

  • 2017-2018 (0.8 yrs) "Data assimilation as an innovation hub to connect mathematical science, experimental and observational science, and computational science", funded by RIKEN
  • 2017-2019 (3 yrs) "Advancing Operations of Hydroelectric Dams", funded by Tokyo Electric Power Company Holdings (Facebook, プレスリリース)
  • 2016-2017 (0.5 yrs) "Data assimilation as an innovation hub to connect mathematical science, experimental and observational science, and computational science", funded by RIKEN
  • 2016-2019 (3 yrs) "Development of data assimilation method for numerical weather prediction using next-generation satellite-borne precipitation radar data", funded by JAXA
  • 2016-2019 (3 yrs) "Enhancing Data Assimilation of GPM Observations", funded by JAXA
  • 2013-2019 (5.5 yrs) "Innovating "Big Data Assimilation" technology for revolutionizing very-short-range severe weather prediction", funded by JST/CREST
  • 2013-2016 (3 yrs) "Ensemble-based Data Assimilation of TRMM/GPM Precipitation Measurements", funded by JAXA
  • 2009-2012 (3 yrs) "Data Assimilation and Predictability Studies for Improving Tropical Cyclone Intensity Forecasts", funded by NOPP

Other funded projects

  • 2017-2025 (8 yrs) Co-PI, "Computational Science Research for City Planning based on Multi-disaster Risks", PI: Dr. Hirofumi Tomita, funded by Hyogo prefecture and Kobe city governments
  • 2015-2019 (3.5 yrs) Co-PI, "Advancement of meteorological and global environmental predictions utilizing observational 'Big Data'" of the social and scientific priority issues (Theme 4) to be tackled by using post K computer of the FLAGSHIP2020 Project, PI: Dr. Keiko Takahashi, funded by Ministry of Education, Culture, Sports, Science and Technology
  • 2013-2019 (5.5 yrs) Co-PI, "EBD: Extreme Big Data - Convergence of Big Data and HPC for Yottabyte Processing", PI: Professor Satoshi Matsuoka, funded by JST/CREST
  • 2012-2017 (5 yrs) Co-PI, "Computational Science Research on City Disaster Prevention for Kansai Region - Creating Hazard Maps for Earthquakes, Tsunami and Severe Local Storms -", PI: Dr. Hirofumi Tomita, funded by Hyogo prefecture and Kobe city governments
  • 2013-2015 (3 yrs) Co-PI, "Improving Monsoon Predictions with a Coupled Ensemble Kalman Filter Data Assimilation System", PI: Professor Eugenia Kalnay, funded by Indian Institute of Tropical Meteorology (IITM)
  • 2013-2015 (3 yrs) Co-PI, "Effective Assimilation of TRMM/GPM Precipitation in the NCEP Global Model with an Ensemble Kalman Filter", PI: Professor Eugenia Kalnay, funded by NASA
  • 2011-2014 (4 yrs) Co-PI, "Mars Data Assimilation and Reanalysis", PI: Professor Eugenia Kalnay, funded by NASA
  • 2009-2012 (3 yrs) Co-PI, "Multimodel Ensemble Reanalysis System (MERS)", PI: Professor Kayo Ide, funded by NOAA

Certifications

  • 2002 Certified Weather Forecaster, Japanese Government Certification
  • 2001 Certified Software Design and Development Engineer, Japanese Government Certification
  • 1999 First-class National Government Employee with specialty in Physics, National Personnel Authority, the Government of Japan

Committees

  • 2017-present Member of Advisory Panel on Numerical Prediction Model Development, Japan Meteorological Agency (JMA)(気象庁数値予報モデル開発懇談会委員)
  • 2017-2018 Councilor of the Meteorological Society of Japan(日本気象学会評議員)
  • 2015-present Member of PMM (Precipitation Measuring Mission) Utilization Committee, JAXA(PMM利用検討委員会委員)
  • 2015-present Member of CLIVAR Sub-committee, IGBP/WCRP/DIVERSITAS Joint Section of the Earth and Planetary Science Committee and the Environment Committee, Science Council of Japan(日本学術会議環境学委員会地球惑星科学委員会合同IGBP・WCRP・DIVERSITAS合同分科会CLIVAR小委員会委員)
  • 2014-present Member of Long-term Reanalysis Promotion Committee, Japan Meteorological Agency (JMA)(気象庁長期再解析推進委員会委員)
  • 2006-present Member of Meeting Planning Committee, Meteorological Society of Japan(日本気象学会講演企画委員会委員)
  • 2013-2016 Member of Annual Meeting Oversight Committee (AMOC), American Meteorological Society
  • 2013-2015 Member of GPM (Global Precipitation Measurement) Utilization Committee, JAXA(GPM利用検討委員会委員)
  • 2014 Member of External Review Committee, Center for Computational Sciences, University of Tsukuba

Academic events hosted as the Chair

  • February 2018 RIKEN International Symposium on Uncertainty Quantification (RISUQ), Kobe, Japan
  • January 2018 RIKEN International School on Data Assimilation (RISDA2018), Kobe, Japan
  • 2017 Data Assimilation Seminar Series, RIKEN AICS (9/26, 8/16, 8/4, 6/26, 5/18, 3/7, 3/6, 2/7, 1/13)
  • December 2017 RIKEN Data Assimilation Camp (basic), Kobe, Japan
  • October 2017 RIKEN/Japan Meteorological Agency Joint Data Assimilation Research Meeting
  • September 2017 The 2nd RIKEN Data Assimilation Workshop, Kobe, Japan
  • February 2017 RIKEN International Symposium on Data Assimilation (RISDA2017), Kobe, Japan
  • 2016 Data Assimilation Seminar Series, RIKEN AICS (12/22, 12/21, 11/24, 6/13, 4/14, 3/16, 3/7, 3/2, 2/17)
  • November 2016 RIKEN Data Assimilation Camp (basic), Kobe, Japan
  • October 2016 RIKEN Data Assimilation Workshop, Kobe, Japan
  • September 2016 The 6th RIKEN/Kyoto University Joint Data Assimilation Research Meeting, Kobe, Japan
  • September 2016 iTHES Data Assimilation School, Kobe, Japan
  • 2015 Data Assimilation Seminar Series, RIKEN AICS (12/25, 12/15, 10/21, 9/16, 9/2, 6/25, 6/5, 4/17, 3/24, 1/20)
  • October 2015 Symposium at the Meteorological Society of Japan Fall Meeting, Kyoto, Japan
  • September 2015 The 1st Ecosystem Data Assimilation Research Meeting, Kobe, Japan
  • July 2015 The 5th RIKEN/Kyoto University Joint Data Assimilation Research Meeting, Kobe, Japan
  • February 2015 The 5th annual Japanese Data Assimilation Workshop (DAWS5), Kobe, Japan
  • February 2015 The fourth International Symposium on Data Assimilation 2015 (ISDA2015), Kobe, Japan
  • January 2015 The Eugenia Kalnay Symposium, 95th AMS Annual Meeting, American Meteorological Society, Phoenix, AZ, USA
  • 2014 Data Assimilation Seminar Series, RIKEN AICS (12/26, 11/26, 10/31, 9/10, 7/23)
  • July 2014 The 3rd RIKEN/Kyoto University Joint Data Assimilation Research Meeting, Kobe, Japan
  • December 2013 The Fourth AICS International Symposium, Kobe, Japan
  • August 2013 The 1st RIKEN/Kyoto University Joint Data Assimilation Research Meeting, Kobe, Japan
  • February 2013 AICS International Workshop on Data Assimilation, Kobe, Japan

Conference Organizing Committee

Thesis/Dissertation committee (completed)

  • December 2014 Yan Zhou, Ph.D., AOSC, University of Maryland
  • July 2014 Daisuke Hotta, Ph.D., AMSC, University of Maryland
  • March 2014 Guo-Yuan Lien, Ph.D., AOCS, University of Maryland
  • March 2014 Stephan Cecelski, Ph.D., AOSC, University of Maryland
  • February 2014 Keiichi Kondo, Ph.D., University of Tsukuba, Japan
  • July 2012 Sabrina Rainwater, Ph.D., AMSC, University of Maryland
  • May 2012 Hua Chen, Ph.D., AOSC, University of Maryland
  • May 2012 Daryl Kleist, Ph.D., AOSC, University of Maryland
  • May 2012 Javier Amezcua, Ph.D., AOSC, University of Maryland
  • May 2011 Steve Greybush, Ph.D., AOSC, University of Maryland
  • April 2011 Steve Penny, Ph.D., AMSC, University of Maryland
  • March 2010 Hiroshi Koyama, Ph.D., Hokkaido University, Japan

Organizational services

RIKEN Advanced Institute for Computational Science

  • January 2017-present Management Committee, Research Division, AICS
  • 2016 Member of AICS budget management review committee
  • April 2015-March 2017 Meetings Coordinator, Research Division, AICS
  • June 2014-March 2015 Chief editor of AICS Technical Report
  • January 2013-March 2015 Outreach and Public Affairs, Research Division, AICS
  • 2013 Chair of Organizing Committee of the AICS International Symposium

Department of Atmospheric and Oceanic Science, University of Maryland

  • Spring 2012-Fall 2012 Chair of the Seminar Committee (a.k.a. Seminar Coordinator)
  • Fall 2011-Spring 2012 Co-Chair of the Computer Committee

Numerical Prediction Division, Japan Meteorological Agency

  • 2005-2007 Seminar organizer of the Numerical Prediction Division (NPD) Colloquium, JMA

Referee of scientific journals

  • Advances in Water Resources
  • Asia-Pacific Journal of Atmopsheric Sciences
  • Atmospheric Measurement Techniques
  • Atmospheric Research
  • Computational and Applied Mathematics
  • Digital Signal Processing
  • Energies
  • Geophysical Research Letters
  • Geoscientific Model Development
  • International Journal of Bifurcation and Chaos
  • International Journal of Remote Sensing
  • Journal of Applied Meteorology and Climatology
  • Journal of Atmospheric and Oceanic Technology
  • Journal of Atmospheric Sciences
  • Journal of Flood Risk Management
  • Journal of Geophysical Research
  • Journal of Pure and Applied Geophysics
  • Journal of the Meteorological Society of Japan
  • Meteorology and Atmospheric Physics
  • Monthly Weather Review
  • Nonlinear Processes in Geophysics
  • Ocean Dynamics
  • Ocean Engineering
  • PLOS ONE
  • Proceedings of the National Academy of Sciences (PNAS)
  • Processes
  • Quarterly Journal of Royal Meteorological Society
  • Radio Science
  • Scientific Online Letters on the Atmosphere (SOLA)
  • Space Weather
  • Tellus
  • Weather and Forecasting

Deliverables

Press Release

  • July 4, 2017 New system promises more rapid and accurate prediction of rainfall (English, 日本語)
  • March 13, 2017 Modeling Sustainability (日本語)
  • August 9, 2016 K computer and high-tech weather radar come together to predict sudden torrential rains (English, 日本語)
  • November 10, 2015 Largest ensemble simulation of global weather using real-world data (English, 日本語)
  • July 23, 2014 K computer runs largest ever ensemble simulation of global weather (English, 日本語)

Outreach activities

Membership of scientific societies