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Summary Account

Improvement of prediction for mesoscale severe weather phenomena such as torrential rain, heavy snowfall and tornadoes is very important in disaster prevention. In this study, atmospheric numerical models with high accuracy and high resolution are developed along with high-resolution data assimilation methods and ensemble forecasting techniques to support the numerical prediction of mesoscale severe weather events. Through case studies, the meteorological mechanisms and atmospheric conditions of severe phenomena are elucidated. The basic processes for cloud microphysics are also studied through laboratory/numerical experiments and field campaigns toward numerical model improvement.

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last update : 20 April 2016
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