大气科学2012，Vol.36Issue(5)：889-900,12.DOI:10.3878/j.issn.1006-9895.2012.11185
迭代EnSRF方案设计及在Lorenz96模式下的检验
The Implementation and Test of Iterative EnSRF with Lorenz96 Model
摘要
Abstract
A variant of Ensemble Square Root Filter (EnSRF) referred as iterative EnSRF is designed according to asynchronous algorithm. The performance of iterative EnSRF is examined using Lorenz96 model. Unlike traditional EnSRF, the iterative EnSRF can synchronously update two model states at different time and improve the analysis by iterative procedure. The performance of iterative EnSRF is examined not only by using different kinds of observations but also by using perfect and imperfect models. Meanwhile, the rationality of iterative EnSRF analysis is also discussed. With a perfect model, iterative EnSRF is able to increase the convergence speed of regular data assimilation and analyze the indirect observation more effectively. With an imperfect model, iterative EnSRF cannot effectively improve the analysis for all tested observations. If the incorrect parameter is perturbed, iterative EnSRF is able to utilize the improvement of ensemble forecast system to optimize the analysis for parts of observations. Further investigation of experiment results indicates that the improvement of iterative EnSRF analysis is contributed to the optimization of spatial structure of background error covariance and the linear assumption of EnSRF being more reasonable in iterative EnSRF procedure.关键词
迭代EnSRF/Lorenz96/背景误差协方差/模式误差Key words
iterative EnSRF, Lorenz96, background error covariance, model error分类
天文与地球科学引用本文复制引用
闵锦忠,王世璋,陈杰,杨春..迭代EnSRF方案设计及在Lorenz96模式下的检验[J].大气科学,2012,36(5):889-900,12.基金项目
公益性行业专项GYHY200806029,科技创新工程重大项目培育基金708051,国家自然科学基金资助项目40975068,江苏高校优势学科建设工程资助项目(PAPD) （PAPD）
