Data Assimilation of Water Vapor for a Numerical Weather Prediction Model Using the Raman Lidar System

Abstract

We performed Raman lidar observation to obtain water vapor measurements in order to improve the performance of numerical weather prediction models. The obtained water vapor mixing ratio profiles were assimilated into the Weather Research and Forecasting (WRF) model. The results from the simulation showed that the lidar-based water vapor mixing ratio was able to improve the performance of numerical weather prediction models.