How well does the ECMWF Ensemble Prediction System predict blocking?
ECMWF集合预报系统预报阻塞的状况如何？
Initial perturbations scheme is one of the important problems in the ensemble prediction.
初始扰动方案是集合预报研究的核心问题之一。
The verification of the ensemble forecast results of a tropical Pacific air-sea coupled ensemble prediction system is discussed.
讨论了一个热带太平洋海气耦合集合预报系统集合预报的检验问题。
As applied in weather prediction like probability forecast, ensemble prediction has been used for "targeted observation" and data assimilation.
集合预报的应用，在天气预报上主要是概率预报，另外在“目标观测”、资料同化等方面也有广泛应用。
Then, we discuss the theory and methods of ensemble prediction and illustrate how to identify the persisting anomaly region by the ensemble integration method through a practical example.
进而讨论了集合预测的理论和方法，并通过一个实例来说明如何使用集合积分技术来识别持续异常区。
The Ensemble Prediction System (EPS) in principle can be called the Probabilistic Prediction System (PPS) of which its ultimate goal is to provide the full probabilistic forecast for all variables.
集合预报系统从原理上讲也可称之为概率预报系统，其最终目的是要提供所有大气变量的完全概率预报。
The results of experiments indicate: the ensemble neural network can improve greatly the accuracy of software reliability prediction.
实验结果表明，这种组合神经网络能够显著提高软件可靠性的预测精度。
This paper mainly focuses on the prediction problem by the application of hybrid and ensemble thinking into the modeling base on SVM.
本文基于混合学习和集成学习的思想，将这两种方法应用于支持向量机建模技术中，主要解决预测分析问题。
To improve the prediction results of protein secondary structure, we developed a neural network ensemble model based on dual-layer feed forward BP network.
为了提高蛋白质二级结构预测精度，本文尝试采用一种基于串联BP网络集成的二级结构预测模型。
The results show the results of ensemble forecast are better than that of each member's, the simple average of ensemble members' prediction results can improve forecast accuracy;
结果显示集合预报在总体预报效果上比各个集合成员的预报效果好，简单的集合平均就可以提高模式形势场和降水要素场的预报准确率。
The results show the results of ensemble forecast are better than that of each member's, the simple average of ensemble members' prediction results can improve forecast accuracy;
结果显示集合预报在总体预报效果上比各个集合成员的预报效果好，简单的集合平均就可以提高模式形势场和降水要素场的预报准确率。
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