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首页> 外文期刊>Geoscientific Model Development Discussions >An improved multivariable integrated evaluation method and tool (MVIETool) v1.0 for multimodel intercomparison
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An improved multivariable integrated evaluation method and tool (MVIETool) v1.0 for multimodel intercomparison

机译：一种改进的多变量综合评价方法和工具（MVIETOOL）V1.0，用于多模型互通

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An evaluation of a model's overall performance in simulating multiple fields is fundamental to model intercomparison and development. A multivariable integrated evaluation (MVIE) method was proposed previously based on a vector field evaluation (VFE) diagram, which can provide quantitative and comprehensive evaluation on multiple fields. In this study, we make further improvements to this method from the following aspects. (1)?We take area weighting into account in the definition of statistics in the VFE diagram and MVIE method, which is particularly important for a global evaluation. (2)?We consider the combination of multiple scalar fields and vector fields against multiple scalar fields alone in the previous MVIE method. (3)?A multivariable integrated skill score (MISS) is proposed as a flexible index to measure a model's ability to simulate multiple fields. Compared with the multivariable integrated evaluation index (MIEI) proposed in the previous study, MISS is a normalized index that can adjust the relative importance of different aspects of model performance. (4)?A simple-to-use and straightforward tool, the Multivariable Integrated Evaluation Tool (MVIETool version 1.0), is developed to facilitate an intercomparison of the performance of various models. Users can use the tool coded either with the open-source NCAR Command Language (NCL) or Python3 to calculate the MVIE statistics and plotting. With the support of this tool, one can easily evaluate model performance in terms of each individual variable and/or multiple variables.
机译：模型在模拟多个字段中的整体性能的评估是模型互通和开发的基础。基于矢量场评估（VFE）图，提出了一种多变量的综合评估（MVIE）方法，其可以在多个字段中提供定量和综合评估。在这项研究中，我们从以下方面进一步改进了这种方法。 （1）？我们将区域加权考虑在VFE图和MVIE方法的定义中，对全局评估尤为重要。 （2）？我们在以前的MVIE方法中考虑多个标量字段和传染媒介字段对多个标量字段的组合。 （3）？提出了一种多变量的集成技能评分（未命中）作为一种灵活的索引来测量模型模拟多个字段的能力。与先前研究中提出的多变量综合评估指数（MIEI）相比，MISS是一个标准化指数，可以调整模型性能不同方面的相对重要性。 （4）？开发了一种简单的使用和简单的工具，多变量综合评估工具（MVieTOOL版本1.0），以便于各种型号性能的相互熟练。用户可以使用使用open-source ncar命令语言（ncl）或python3编码的工具来计算MVIE统计和绘图。通过对该工具的支持，可以在每个单独的变量和/或多个变量方面轻松评估模型性能。

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