遇见数据集

SuperDARN data in netCDF format (2008-Jul)

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Zenodo2026-01-31 更新2026-05-25 收录
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2008-Jul SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication. The RST is available here: https://github.com/SuperDARN/rst The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below. Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview) Recommended form of acknowledgement for the use of SuperDARN data: 'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'

本数据集为2008年7月采集的SuperDARN雷达netCDF格式数据,采用公开FitACF算法3.0版本及AACGM v2坐标系生成。若在学术出版物中使用本数据集,请按规范引用该数据集。 相关RST工具可通过以下链接获取:https://github.com/SuperDARN/rst 依托SuperDARN开展的研究,得益于多国科学家与工程师团队的协同努力——他们负责雷达的搭建与运维、数据处理与共享、数据产品的研发迭代,并协助用户开展数据解译工作。 使用SuperDARN数据及数据产品的用户,需在学术报告与正式出版物中对上述支持予以致谢。 下文提供SuperDARN数据使用致谢的简要规范。 用户在提交拟发表的研究成果前,需咨询SuperDARN项目首席研究员(Principal Investigator,简称PI)。 包含雷达与首席研究员联系方式的清单可通过以下链接查阅:(SuperDARN雷达概况) SuperDARN数据使用标准致谢格式如下: ‘本研究团队感谢使用SuperDARN数据。SuperDARN是由澳大利亚、加拿大、中国、法国、意大利、日本、挪威、南非、英国及美利坚合众国的国家科学基金机构共同资助的雷达组网系统。’

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2022-05-25
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