Numerical Simulation of Mesoscale Wind and Clouds over the Kanto Region Using Four-Dimensional Data Assimilation

Abstract

Numerical simulations of Mesoscale wind fields and cumulus clouds in summer over Kanto region have been performed using RAMS (Regional Atmospheric Modeling System). This non-hydrostatic model include the advanced technique of weather prediction;(1) the microphisics parameterizations;(2) multi-grid nesting;(3) FDDA (Four Dimensional Data Assimilation). A total of three numerical experiments lead the following results.(1) The results of wind fields agree well with AMeDAS data.(2) Local wind fronts and clouds are simulated by nesting grid system.(3) The cloud over central Japanese mountains area agree qualitatively with the image from NOAA.