In addition to seasonal transboundary pollution included sandstorm and haze from China, the local pollution also play an important role in Taiwan. To improve the ability of air quality forecast and provide objective forecast guideline. The following works have been done in previous plans. Numerical dynamic air quality forecast model CMAQ-OP1.0 and its automatic forecasting procedures have been established on high performance computer facility in Central Weather Bureau (CWB-HPC), and providing forecast results every day. The assessment of next version numerical dynamic air quality model CMAQ-OP2.0 have been completed. And the automatic forecasting procedures of 12UTC also have been established on CWB-HPC. The statistical correction method DCA and DMOS were used to build up the correction forecast. To develop the objective composite forecast which integrate multi-forecast, the Bayesian model averaging method is also introduced. Following the results of pervious plan, this work continues maintaining and expanding existing automatic forecasting procedures. Which establishes 00UTC forecast of CMAQ-OP2.0 and assesses the feasibility of 4 forecasts in one day and expanding of forecast time from 84 to 120 hours. Considering the safety and convenience for maintaining of forecast display platform, new platform is built, comparison of precipitation spatial distribution and time series of forecast and observation in site position are also provided for forecaster. Besides, we also analyze statistic correction forecast, and propose the improvement plan to elevate the correction forecast results.

Community Multi-Scale Air Quality (CMAQ) modeling system, Objective forecast, Bayesian model averaging (BMA)