期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2013
卷号：10
期号：2
出版社：IJCSI Press
摘要：In this study, a methodology of constructing and incorporating potential-vorticity (PV) data into initial conditions of a limited-area model is proposed. This methodology is based on the linear correlation between vertical (100hPa-500hPa) mean PV (MPV) and MetOp/GOME2 total ozone (O3) data. On one hand, a linear regression model is implemented to generate MPV from O3 data. On the other hand, a 3D-variational method is designed to assimilate MPV pseudo-observations as a first step toward investigating their dynamical impact.
关键词：Remote Sensing; Ozone; Meteorology; Data assimilation; Numerical Weather Prediction.
