The impact of the temporal spacing of observations on analysis errors in an idealised data assimilation system
The impact of the temporal spacing of observations on analysis errors in an idealised data assimilation system
复制标题
理想化数据同化系统中观测时间间隔对分析误差的影响
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
P. Weston
中科院分区：
文献类型：
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作者：
J. Eyre;P. Weston
本文提出了一个理论研究的时间间隔的观测平均分析误差的影响，在一个简单的系统类似于数值天气预报资料同化系统。这些结果与极轨道卫星的最佳分布问题有关，特别是与如何在世界气象组织在其“2025年全球观测系统愿景”中建议的三个轨道平面上部署可用卫星资产的问题有关。
This article presents a theoretical study of the impact of the temporal spacing of observations on average analysis errors in a simple system analogous to a numerical weather prediction data assimilation system. The results are relevant to questions concerning the optimal distribution of polar‐orbiting satellites, and particularly to the question of how available satellite assets might be deployed in the three orbital planes recommended by the World Meteorological Organisation in its ‘Vision for the Global Observing System in 2025’.