A STUDY ON THE USAGE OF FOUR DIMENSIONAL DATA ASSIMILATION IN WRF SIMULATION

Abstract

 For the purpose of considering an optimal use of Four Dimensional Data Assimilation (FDDA) in the Weather Research and Forecasting model (WRF) simulations, this study investigates the impacts on the accuracy of estimated offshore wind speeds by testing six different FDDA settings for two domains. The most optimal settings, found in this study, are that 1) all the layers in the first domain should be assimilated and 2) the atmospheric boundary layer should be excluded from FDDA in the second domain.