物理学报2012，Vol.61Issue(24)：565-577,13.
以全球谱模式为约束的四维变分资料同化系统YH4DVAR的设计和实现
Design and implementation of four-dimensional variational data assimilation system constrained by the global spectral model
摘要
Abstract
The mainstream data assimilation system in operation will still employ four-dimensional variational data assimilation(4DVAR) method in a long time of future. We develop a new 4DVAR system, i.e., YH4DVAR, using global spectral model as a constraint to impose a dynamic balance on the assimilation. The cost function of YH4DVAR consists of four terms: background, observations, digital filter, and bias correction, respectively. YH4DVAR employs the wavelet background error convarianee, the multi-resolution incremental formulation, the tangent linear and adjoint models for dynamics core and physical processes, and ATOVS radiance data assimilation. Simultaneous spatial and spectral variations of horizontal and vertical covariance are achieved by dividing the control vector into several parts, each of which corresponds to a band of total spherical wavenumbers. Using NWP consisting of YH4DVAR and global spectral model, the anomaly correlation with the verifying analysis for geopotential height 8-day forecast on the 500 hPa isobaric surface at 12-month mean is above 60%. The formulation and implementation of YH4VAR are described in detail in this paper.关键词
数值天气预报/气象资料同化/四维变分资料同化/小波背景误差协方差模型Key words
numerical weather prediction/atmospherical data assimilation/four-dimensional variational data as-similation/wavelet background error covariance model分类
天文与地球科学引用本文复制引用
张卫民,曹小群,宋君强..以全球谱模式为约束的四维变分资料同化系统YH4DVAR的设计和实现[J].物理学报,2012,61(24):565-577,13.基金项目
国家自然科学基金（批准号：41105063,40775064）资助的课题. （）
