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A science-based use of ensembles of opportunities for assessment and scenario studies

机译:对各种机会进行评估和情景研究的科学方法

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The multimodel ensemble exercise performed within the HTAP project context(Fiore et al., 2009) is used here as an example of how a pre-inspection, diagnosis andselection of an ensemble, can produce more reliable results. The procedureis contrasted with the often-used practice of simply averaging modelsimulations, assuming different models produce independent results, andusing the diversity of simulation as an illusory estimate of modeluncertainty. It is further and more importantly demonstrated how conclusionscan drastically change when future emission scenarios are analysed using anun-inspected ensemble. The HTAP multimodel ensemble analysis is only takenas an example of a widespread and common practice in air quality modelling.
机译:在HTAP项目环境中执行的多模型合奏练习(Fiore等,2009)在此用作预检查,诊断和选择合奏如何产生更可靠结果的示例。该过程与简单地对模型仿真求平均的常规做法形成对比,假设不同的模型产生独立的结果,并使用仿真的多样性作为对模型不确定性的虚假估计。进一步,更重要的是,当使用未检查的集合分析未来的排放情景时,结论将如何急剧变化。 HTAP多模型集成分析仅作为空气质量建模中广泛而通用的示例。

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