Department of Physical Meteorology Research
Second Laboratory
Summary Account
This research is aimed at improving the parameterization of atmospheric physical processes such as cumulus convection, cloud, and radiation implemented in numerical prediction models used in short-range to one-week forecasts, seasonal forecasts, and global climate projections. Our work contributes to improving the prediction accuracy of these models by adapting them to the convective gray zone and reducing biases in outputs such as radiation budget and temperature.