Research Interests 【 display / non-display 】
-
data assimilation
-
Meteorological observations
Graduating School 【 display / non-display 】
-
Meteorological College
University, 1998.03, Graduated, Japan
Graduate School 【 display / non-display 】
-
Tokyo Metropolitan University
Doctor's Course, 2020.09, Accomplished credits for doctoral program, Japan
-
Tokyo Metropolitan University
Master's Course, 2009.03, Completed, Japan
Campus Career 【 display / non-display 】
-
Shiga University Faculty of Data science Department of Data science,Associate Professor, 2024.04 - Now
Research Grants & Projects 【 display / non-display 】
-
,Grant-in-Aid for Scientific Research(B)Grant-in-Aid for Scientific Research(B),Other,Other,2025.04 - 2029.03
-
,Study of advanced data assimilation and cloud resolving ensemble technique,Grant-in-Aid for Scientific Research(A)Grant-in-Aid for Scientific Research(A),2009.04 - 2014.03,Japan Society for the Promotion of Science
To overcome the difficulties to predict local convective rains without strong synoptic or orographic forcing, research and development on mesoscale data assimilation and ensemble forecast were conducted.
A storm scale 4DVAR data assimilation scheme, local ensemble transform Kalman filter for the JMA nonhydrostatic model, an ensemble variational data assimilation scheme were developed and applied to data assimilation experiments for local heavy rainfall events and typhoons. Mesoscale assimilation experiments for mesoscale observation data (e.g., GPS data and Doppler lidar data) were conducted. Initial and lateral boundary perturbation methods for a mesosocale ensemble prediction system were developed and the system was applied to a cloud resolving model. Feasibility of the probabilistic forecast of local heavy rainfall was shown through validation of mesoscale ensemble forecasts.
Charge of on-campus class subject 【 display / non-display 】
-
気象データ入門,Undergraduate (specialized),2024.10 - 2025.03
-
課題研究2,Postgraduate,2024.10 - 2025.03