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On the Evaluation of the Extremality Index EFI

机译:论极值指数EFI的评价

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摘要

The Extreme Forecast Index (EFI) calculations are performed using the ECMWF 2-m air temperature forecasts produced in the framework of the Subseasonal to Seasonal (S2S) Prediction Project. Four computation schemes are implemented using empirical and theoretical distributions of heat wave characteristics as well as the one-dimensional test statistics of histograms and linear interpolation formulas. Case studies (for different initial dates and regions) characterized by the significant air temperature anomalies in Northern Eurasia are performed using traditional forecast skill scores and the spatial verification methods to evaluate the efficiency of the proposed schemes for different threshold values of EFI. It is shown that the forecast quality can be considered satisfactory in most cases. The dependence of forecast skill on the intensity, spatial scales, and duration of temperature anomalies is revealed. Further studies should be carried out using larger samples based on several hydrodynamic models and the multimodel approach.
机译:使用在季节性到季节性(S2S)预测项目的框架内产生的ECMWF 2-M空气温度预测来执行极端预测指数(EFI)计算。使用热波特性的经验和理论分布实现四种计算方案以及直方图和线性插值公式的一维测试统计。案例研究(对于不同的初始日期和地区),其特征在于欧亚北部北部的大量气温异常,使用传统的预测技能评分和空间验证方法进行评估EFI的不同阈值的提议方案的效率。结果表明,在大多数情况下,预测质量可以被认为是令人满意的。揭示了预测技能对强度,空间尺度和温度异常持续时间的依赖性。基于几种流体动力学模型和多模型方法,应使用较大的样品进行进一步的研究。

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