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Short- to medium-range superensemble precipitation forecasts using satellite products: 2. Probabilistic forecasting - art. no. 8384

机译:使用卫星产品的中短期超级集合降水预报:2.概率预报-艺术。没有。 8384

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1] Short- to medium-range probabilistic precipitation forecasts over the global tropics are explored using satellite products, from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) and Special Sensor Microwave/Imager (SSM/I) instruments. In addition to the conventional probability of precipitation ( POP) forecast, superensemble (SE) POP forecasts are introduced and applied to the multianalysis, multicumulus-scheme, and multimodel ensemble configurations in two different horizontal resolution forecasts. It is shown that an ensemble system using a single model has a more consistent bias, which can at least partially be removed by a simple bias correction. With the aid of properly prepared ensemble members, meaningful POP forecasts have much longer forecast lead times. Results also show that a family of higher-resolution forecasts has a greater ability in removing model biases. The advantage of the SE approach is found to be evident in making POP forecasts, compared to the conventional method. The skills of SE POP are 10 to 20 percent better than those of the bias-corrected. [References: 21
机译:1]利用热带雨量测量任务(TRMM)微波成像仪(TMI)和特殊传感器微波/成像仪(SSM / I)仪器中的卫星产品,探索了全球热带地区的中短期概率降水预报。除了常规的降水概率(POP)预测之外,还引入了超集合(SE)POP预测,并将其应用于两个不同的水平分辨率预测中的多分析,多累积方案和多模型集合配置。结果表明,使用单个模型的集成系统具有更一致的偏差,可以通过简单的偏差校正将其至少部分除去。在适当准备的合奏成员的帮助下,有意义的POP预测可以大大延长预测的交货时间。结果还显示,更高分辨率的预测族在消除模型偏差方面具有更大的能力。与常规方法相比,发现SE方法的优势在进行POP预测中很明显。 SE POP的技能比偏差校正的技能高10%到20%。 [参考:21

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