Application Research On WRF-3DVAR Data Assimilation In Aeronautical Meteorology

The research work of aviation meteorology is an important guarantee for steady and rapid development of civil aviation industry. Numerical model and data assimilation technique is an effective way to solve the shortage of meteorological equipment, low accuracy of prediction. In recent years, a new generation of mesoscale numerical model WRF(The Weather Research And Forecasting Model) fast development, become an indispensable tool for meteorological simulation and prediction. An independent data assimilation system in the model, namely WRF three-dimensional variational assimilation system(WRF-3DVAR),provides perfect function of data processing and assimilation. Use assimilation system greatly improves the accuracy of numerical prediction models. The use of assimilation system greatly improves the accuracy of numerical model simulation or forecast.It mainly studies the effect and significance of a variety of observational data assimilation for aeronautical meteorology. METAR messages are regular, but low space-time resolution; MICAPS are widely distributed, but sparse on upper atmosphere. Weather radar datas are high space-time resolution. But effective meteorological datas are few under clear-sky conditions. It is necessary to reasonably comprehensive use a variety of observational data to assimilation.Quality control of observational data is an important factor affecting the assimilation effect. It introduces the commonly quality control based on the ground observation stations data, for example extreme check, time and space consistency check and so on. According to the characteristics of AMDAR data packets, the quality control idea of removing measurement errors and reducing errors is proposed. It was demonstrated that the assimilation system using the observations datas processed by this idea make the model output closer to the actual weather. There is a variety of complex weather impacting flying. Rain is an example to illustration that 3DVAR assimilation technique can improve accuracy of WRF model simulation or forecasts results, and is important for aviation efficient and safe operation.