Western Pacific Tropical Cyclone Reanalysis with the NRL Atmospheric Variational Data Assimilation System (NAVDAS)

摘要

The long-term goal of this project is to improve the prediction of tropical cyclone (TC) genesis, structure and intensity changes through improved initial condition and data assimilation technique. Accurate prediction of TC genesis, structure and intensity changes is critical to Navy missions and civilian activities in coastal areas. Due to sparse observational coverage over the open ocean, a key element of typhoon data assimilation is how to assimilate the latest satellite products such as Advanced Microwave Sounding Unit (AMSU), AIRS, and SSMIS in to the model initial condition. These new satellite products provide high-resolution 3-dimensional temperature and moisture fields and rain rate profiles. By assimilating the satellite radiance data, we enhance the NAVDAS capability and thus improve NOGAPS and COAMPS TC and weather forecast. The objective of this project is are to develop a suitable strategy for TC initialization using NAVDAS in the Navy Coupled Ocean-Atmosphere Mesoscale Prediction System (COAMPS) with application of latest satellite products and a variational data assimilation scheme and to construct a comprehensive, high- resolution reanalysis dataset for TCs in the western Pacific and provide the dataset to TC community.