H. Radtke, F. Börgel, Sandra-Esther Brunnabend, A. Eggert, M. Kniebusch, H. Meier, D. Neumann, T. Neumann, Manja Placke
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This makes it different from validation approaches which generate a pre-defined set of plots after the calculations have finished and make it particularly useful for model tuning purposes. Observation data can be read in from text files or can be extracted from a database. Once set up, the validation tool requires no technical skills to use. It can be used for single- or multi-model validation and allows saving the generated plots as high-resolution images suitable for use in scientific publications. A Linux operating system is required for the Validator app, but via a virtual machine, the software can run on Windows or MacOS hosts as well. A Dockerfile is supplied which allows to test the software with example data without installation. 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引用次数: 2
摘要
数值海洋模型和其他地球科学模型一样,是对真实海洋的高度简化的表示。它们被用作回答关于现实世界系统的研究问题的工具。因此,为了保证模型实验得出的结论在现实中是有效的,必须对它们进行彻底的验证。我们演示了一个软件,它允许通过基于R Shiny框架的web界面进行交互式模型验证。在预先定义的站点,根据用户的选择,可以在几秒钟内渲染不同类型的绘图,即使在仍在运行的模型模拟中,也可以对不同的模型参数进行实时验证。这使得它与验证方法不同,验证方法在计算完成后生成一组预定义的图,并使其对模型调优特别有用。观测数据可以从文本文件中读取,也可以从数据库中提取。一旦设置好,验证工具就不需要任何技术技能来使用。它可以用于单一或多模型验证,并允许将生成的图保存为适合在科学出版物中使用的高分辨率图像。Validator应用程序需要Linux操作系统,但通过虚拟机,该软件也可以在Windows或MacOS主机上运行。提供了一个Dockerfile,允许使用示例数据测试软件而无需安装。资助声明:该软件是由Leibniz Institute for Baltic Sea Research Warnemunde (IOW)在机构资助下开发的。
Validator – a Web-Based Interactive Tool for Validation of Ocean Models at Oceanographic Stations
Numerical ocean models, like other geoscientific models, are a strongly simplified representation of real oceans. They are used as tools to answer research questions about the real-world systems. Therefore, their thorough validation is essential to ensure that the conclusions drawn from the model experiment are valid in reality. We demonstrate a software which allows an interactive model validation through a web interface based on the R Shiny framework. At pre-defined stations, different kinds of plots can be rendered within a few seconds, according to the user’s choice, allowing a live validation of different model parameters even in model simulations which are still running. This makes it different from validation approaches which generate a pre-defined set of plots after the calculations have finished and make it particularly useful for model tuning purposes. Observation data can be read in from text files or can be extracted from a database. Once set up, the validation tool requires no technical skills to use. It can be used for single- or multi-model validation and allows saving the generated plots as high-resolution images suitable for use in scientific publications. A Linux operating system is required for the Validator app, but via a virtual machine, the software can run on Windows or MacOS hosts as well. A Dockerfile is supplied which allows to test the software with example data without installation. Funding statement: This software was developed at the Leibniz Institute for Baltic Sea Research Warnemunde (IOW) on institutional funding.