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首页> 外文期刊>Journal of hydrometeorology >Why Should Ensemble Spread Match the RMSE of the Ensemble Mean?
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Why Should Ensemble Spread Match the RMSE of the Ensemble Mean?

机译:为什么集成传播要与集成均值的均方根误差相匹配?

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摘要

When evaluating the reliability of an ensemble prediction system, it is common to compare the root-meansquare error of the ensemble mean to the average ensemble spread. While this is indeed good practice, two different and inconsistent methodologies have been used over the last few years in the meteorology and hydrology literature to compute the average ensemble spread. In some cases, the square root of average ensemble variance is used, and in other cases, the average of ensemble standard deviation is computed instead. The second option is incorrect. To avoid the perpetuation of practices that are not supported by probability theory, the correct equation for computing the average ensemble spread is obtained and the impact of using the wrong equation is illustrated.
机译:在评估整体预测系统的可靠性时,通常会将整体均值的均方根误差与平均整体展度进行比较。尽管这确实是一种很好的做法,但是在过去的几年中,气象和水文学中使用了两种不同且不一致的方法来计算平均总体传播。在某些情况下,将使用平均总体方差的平方根,而在其他情况下,将改为计算整体标准差的平均值。第二个选项不正确。为了避免出现概率论不支持的实践的永久化,获得了用于计算平均总体扩展的正确方程式,并说明了使用错误方程式的影响。

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