气象学报Issue(1)：62-78,17.DOI:10.11676/qxxb2014.008
GRAPES全球变分同化背景误差协方差的改进及对分析预报的影响：背景误差协方差三维结构的估计
摘要
Abstract
The background error variance,horizontal correlation length and vertical correlation structure of the latest GRAPES version global model are estimated using the NMC method.The results show that the background error variance of the latest version GRAPES is much smaller than the previous version.The horizontal correlation length of the background error varies dramatically with the latitude and pressure levels.The statistical vertical correlation structures are more appropriate,especially for the stream function and the velocity potential.A single-point experiment for the statistical vertical correlation structure is performed and its result illustrates that the analysis increment distribution is more reasonable than using the vertical correlation structure produced by experienced formula.关键词
背景误差协方差/美国国家气象中心(NMC)方法/GRAPES全球模式/变分同化Key words
Background error covariance/NMC method/Global GRAPES model/Variational data assimilation分类
天文与地球科学引用本文复制引用
王金成,庄照荣,韩威,陆慧娟..GRAPES全球变分同化背景误差协方差的改进及对分析预报的影响：背景误差协方差三维结构的估计[J].气象学报,2014,(1):62-78,17.基金项目
2012年度中国气象局公益性行业专项（GYHY201206007）、2011年度中国气象局公益性行业专项（GYHY201106008）、自然科学青年基金项目（41005055）。 （）
