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A New Founded Error Contamination Mechanism in Numerical Weather Forecasting Models

机译:数值天气预报模型中一种新型的误差污染机制

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摘要

Traditionally speaking, the error growth rate is considered unpredictable because of the uncertainty of unavoidable errors in data collection. A new kind of errors can be detected in the forecast with a non-uniform continuity index. The results based on a simulation of the T213 ECMWF model support our new founded facts that the errors caused by non-uniform continuity between the forecast fields and analysis fields is a new founded error contamination mechanism in numerical weather models.
机译:传统上,由于数据收集中不可避免的错误的不确定性,错误增长率被认为是不可预测的。可以使用不均匀的连续性指标在预测中检测到一种新的错误。基于T213 ECMWF模型的仿真结果支持了我们新成立的事实,即预报字段和分析字段之间不连续的连续性导致的误差是数值天气模型中新建立的误差污染机制。

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