OIZUMI, Tsutao

[Japanese]


Job title	Researcher / The 1st lab./Department of Physical Meteorology Research
E-mail	oizumi[at]mri-jma.go.jp
Personal
Expertise	Meso scale meteorology, Hydrology, Disaster prediction
Degree	Ph.D.
Publications	Saito, K., T. Matsunobu, and T. Oizumi, 2022: Effect of upper-air moistening by northward ageostrophic winds associated with a tropical cyclone on the PRE enhancement. SOLA, 18, 81-87, doi:10.2151/sola.2022-014 Duc, L., T. Kawabata, K. Saito, and T. Oizumi, 2021: Forecasts of the July 2020 Kyushu heavy rain using a 1000-member ensemble Kalman filter. SOLA, 17, 41-47, doi:10.2151/sola.2021-007 Kobayashi, K., L. Duc, T. Oizumi and K. Saito, 2020: Ensemble flood simulation for a small dam catchment in Japan using nonhydrostatic model rainfalls. Part 2: Flood forecasting using 1600 member 4D-EnVAR predicted rainfalls.Natural Hazards and Earth System Sciences, 20,755-700, doi:10.5194/nhess-20-755-2020 Oizumi, T., K. Saito, L. Duc, and J. Ito, 2020: Ultra-high-resolution numerical weather prediction with a large domain using the K computer: Part 2 Case of the Hiroshima heavy rainfall event on August 2014 and size dependency of simulated convection cores on model resolutions. J. Meteor. Soc. Jpn., 98, 1163-1182, doi:10.2151/jmsj.2020-060 Oizumi, T., K. Saito, J. Ito, T. Kuroda, and L. Duc, 2018: Ultra-High-Resolution Numerical Weather Prediction with a Large Domain Using the K Computer: A Case Study of the Izu Oshima Heavy Rainfall Event on October 15-16, 2013.J. Meteor. Soc. Jpn., 96, 25-54, doi:10.2151/jmsj.2018-006 Ito, J., T., Oizumi, and H., Niino, 2017: Near-surface coherent structures explored by large eddy simulation of entire tropical cyclones, Scientific Reports.Scientific Reports, 7, 3798,doi:10.1038/s41598-017-03848-w Saito K., T. Tsuyuki, H. Seko, F. Kimura, T. Tokioka, T. Kuroda, L. Duc, K. Ito, T. Oizumi, G. Chen, J. Ito, and SPIRE Field 3 Mesoscale NWP group, 2013: Super high-resolution mesoscale weather prediction.J. of Physics: Conference Series, vol. 454, 012073, doi:10.1088/1742-6596/454/1/012073
Project	Research on improvement of mesoscale weather prediction and information for disaster prevention