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1·The objective analysis is one of the main contents of data assimilation.

客观分析是资料同化的一个主要内容。

2·Land data assimilation is a new means for multi-source geospatial data integration.

陆面数据同化是一种集成多源地理空间数据的新思路。

3·The temperature field after data assimilation is better than that without data assimilation.

数据同化后的温度场优于未经同化的温度场。

4·So the actual background error covariance is the key to success of data assimilation technique.

本文主要目的是建立具有实际运行能力的集合卡尔曼滤波资料同化系统。

5·Data assimilation has been successfully applied in atmospheric, oceanic, and land surface models.

数据同化方法在大气、海洋和陆面模式中得到了成功的应用。

6·In this paper, the variational data assimilation of two kinds of physical model including on-off...

本文研究了两类含有“开关”的物理过程的变分资料同化问题。

7·The satellite data assimilation technique has become an efficient measure for Marine dynamic research.

卫星观测数据的同化技术已成为海洋动力学研究的一个有效手段。

8·Ideal experiments are also conducted to verify the effect of the regularization method on variational data assimilation.

并通过数值试验进一步肯定正则化理论在资料同化中的作用。

9·The purpose of this paper is to explore the performances of different model error scheme in soil moisture data assimilation.

本文主要目的是探讨不同模式误差方案在土壤湿度同化中的性能。

10·Data assimilation can give a better initial field, therefore the short-range storm surge forecast has an obvious amelioration.

资料同化能够提供更为合理的预报初始场，对风暴潮的短期预报有较明显的改进。