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Ensemble Prediction To Evaluate Flow Dependent Variations In Predictability

机译:集合预测以评估可预测性中与流量相关的变化

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In past decade, the methodologies followed at European Centre for Medium-Range Weather Forecasts (ECMWF), the Canadian Meteorological Center (CMC) and the National Centers for Environmental Predictions (NCEP) have been developed to simulate the effect of initial and model uncertainties onto the forecast error. In the recent study, the characteristics of these three global ensemble prediction systems (EPS) have been discussed, the objective evaluations have been taken by using the three ensemble forecasts for a 3-month period, September-November 2003. The synoptic example of probabilistic quantitative precipitation forecast (PQPF) has been presented. The importance of this study is not to rank the performance of the systems, but to identify possible reasons of superior/inferior performance, and thus to draw a guideline for future ensemble development.
机译:在过去的十年中,欧洲中距离天气预报中心(ECMWF),加拿大气象中心(CMC)和国家环境预测中心(NCEP)所采用的方法已经被开发出来,以模拟初始不确定性和模型不确定性对环境的影响。预测误差。在最近的研究中,已经讨论了这三个全球整体预报系统(EPS)的特征,并通过使用三个整体预报对2003年9月至11月的三个月期进行了客观评估。已经提出了定量降水预报(PQPF)。这项研究的重要性不是要对系统的性能进行排名,而是要确定性能优越/劣​​势的可能原因,从而为将来的整体开发制定指南。

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