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Improved Skill for the Anomaly Correlation of Geopotential Heights at 500 hPa

机译:500 hPa时地势高度异常相关的改进技巧

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This paper addresses the anomaly correlation of the 500-hPa geopotential heights from a suite of global multimodels and from a model-weighted ensemble mean called the superensemble. This procedure follows a number of current studies on weather and seasonal climate forecasting that are being pursued. This study includes a slightly different procedure from that used in other current experimental forecasts for other variables. Here a superensemble for the ▽~2 of the geopotential based on the daily forecasts of the geopotential fields at the 500-hPa level is constructed. The geopotential of the superensemble is recovered from the solution of the Poisson equation. This procedure appears to improve the skill for those scales where the variance of the geopotential is large and contributes to a marked improvement in the skill of the anomaly correlation. Especially large improvements over the Southern Hemisphere are noted. Consistent day-6 forecast skill above 0.80 is achieved on a day to day basis. The superensemble skills are higher than those of the best model and the ensemble mean. For days 1-6 the percent improvement in anomaly correlations of the superensemble over the best model are 0.3, 0.8, 2.25, 4.75, 8.6, and 14.6, respectively, for the Northern Hemisphere. The corresponding numbers for the Southern Hemisphere are 1.12, 1.66, 2.69, 4.48, 7.11, and 12.17. Major improvement of anomaly correlation skills is realized by the superensemble at days 5 and 6 of forecasts. The collective regional strengths of the member models, which is reflected in the proposed superensemble, provide a useful consensus product that may be useful for future operational guidance.
机译:本文从一组全球多模型和一个模型加权的集合平均数(称为超级集合)中解决了500-hPa地势高度的异常相关性。该程序遵循了许多有关天气和季节性气候预报的最新研究。这项研究包含的程序与当前针对其他变量的其他实验预测中使用的程序略有不同。在此,根据500-hPa水平的地势场的每日预报,构造出▽〜2的地势超积分。超级集合体的地势从泊松方程的解中得到。该程序似乎可以提高那些具有较大地势方差的尺度的技能,并有助于显着提高异常相关性的技能。注意到在南半球的特别大的改进。每天都可以实现高于0.80的一致的第六天预测技能。超级合奏的技巧高于最佳模型和合奏的平均值。在第1-6天,北半球上最佳模型的超级集合异常相关性改善的百分比分别为0.3、0.8、2.25、4.75、8.6和14.6。南半球的相应数字是1.12、1.66、2.69、4.48、7.11和12.17。预报的第5天和第6天,超级合奏极大地提高了异常相关能力。成员模型的集体区域优势反映在提议的超级合奏中,提供了有用的共识产品,可能对将来的操作指南有用。

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