Parallel and optimization works for sand-dust numerical forecasting model

The parallel scheme and optimization works for a sand-dust numerical model coupled with PSU/NCAR Mesoscale Model (MM5)-CUACE-Dust (China unified atmosphere chemistry system-dust) is introduced. These works reduce the run-time and increase the efficiency which is most important for real-time and high resolution forecasting. Based on CUACE-Dust, a numerical model forecasting system is established in northeast Asian, and is applied to China meteorological administration (CMA) for operational prediction of sand and dust storm. Meanwhile, shell scripts are designed for auto stream running of several programs to promote the user's convenience. Some testing results are given out at last to indicate the significance of our work.