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Technical note: Harmonising metocean model data via standard web services within small research groups

机译:技术说明:通过小型研究小组中的标准Web服务协调气象模式数据

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Work over the last decade has resulted in standardised web services and tools that can significantly improve the efficiency and effectiveness of working with meteorological and ocean model data. While many operational modelling centres have enabled query and access to data via common web services, most small research groups have not. The penetration of this approach into the research community, where IT resources are limited, can be dramatically improved by (1) making it simple for providers to enable web service access to existing output files; (2) using free technologies that are easy to deploy and configure; and (3) providing standardised, service-based tools that work in existing research environments. We present a simple, local brokering approach that lets modellers continue to use their existing files and tools, while serving virtual data sets that can be used with standardised tools. The goal of this paper is to convince modellers that a standardised framework is not only useful but can be implemented with modest effort using free software components. We use NetCDF Markup language for data aggregation and standardisation, the THREDDS Data Server for data delivery, pycsw for data search, NCTOOLBOX (MATLAB (R)) and Iris (Python) for data access, and Open Geospatial Consortium Web Map Service for data preview. We illustrate the effectiveness of this approach with two use cases involving small research modelling groups at NATO and USGS.
机译:过去十年的工作产生了标准化的Web服务和工具,可以显着提高使用气象和海洋模型数据的效率和效力。尽管许多运营建模中心已经启用了通过通用Web服务进行查询和访问数据的功能,但大多数小型研究小组却没有。这种方法在IT资源有限的研究社区中的渗透可以通过以下方式得到显着改善:(1)使提供者可以轻松地通过Web服务访问现有输出文件; (2)使用易于部署和配置的免费技术; (3)提供可在现有研究环境中工作的标准化,基于服务的工具。我们提供了一种简单的本地代理方法,该方法可让建模者继续使用其现有文件和工具,同时提供可与标准化工具一起使用的虚拟数据集。本文的目的是说服建模人员,标准化的框架不仅有用,而且可以使用自由软件组件以少量的努力实现。我们使用NetCDF标记语言进行数据聚合和标准化,使用THREDDS数据服务器进行数据传递,使用pycsw进行数据搜索,使用NCTOOLBOX(MATLAB(R))和Iris(Python)进行数据访问,并使用Open Geospatial Consortium Web Map Service进行数据预览。 。我们通过两个涉及北约和USGS小型研究建模小组的用例来说明这种方法的有效性。

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