抄録
The prediction of heavy rain is critical to reduce damage and increase public safety. To improve prediction
accuracy, we developed water vapor lidars that measure the vertical distribution of water vapor in
the lower atmosphere. We conducted long-term observations of vertical water vapor distributions on the
windward side of heavy rain areas to study the influence of moisture on convection initiation and cumulus
development that cause heavy rain. With a data assimilation technique, we also evaluated the impacts
of lidar-observed data on the objective analysis of water vapor field and on the prediction of the
precipitation of a numerical weather prediction model.
