Implementing a variational data assimilation system in an operational 1/4 degree global ocean model
Implementing a variational data assimilation system in an operational 1/4 degree global ocean model
复制标题
在可操作的 1/4 度全球海洋模型中实施变分数据同化系统
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
J. While
中科院分区：
文献类型：
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作者：
J. Waters;D. Lea;Matthew J. Martin;I. Mirouze;A. Weaver;J. While
本文介绍了在适当的时间三维变分（3DVAR）数据同化方案，NEMOVAR，在气象局的业务1/4度全球海洋模式的增量第一猜测的实施。NEMOVAR同化了海面温度（SST）、海面高度（SSH）、现场温度和盐度剖面以及海冰浓度的观测结果。英国气象局是第一个在1/4度实施NEMOVAR的中心，并讨论了所需的发展，特别关注背景误差协方差的规范。
This article describes the implementation of an incremental first guess at an appropriate time three‐dimensional variational (3DVAR) data assimilation scheme, NEMOVAR, in the Met Office's operational 1/4 degree global ocean model. NEMOVAR assimilates observations of sea‐surface temperature (SST), sea‐surface height (SSH), in situ temperature and salinity profiles and sea ice concentration. The Met Office is the first centre to implement NEMOVAR at 1/4 degree and the required developments are discussed, with particular focus on the specification of the background‐error covariances.