遇见数据集

SuperDARN data in netCDF format (2015-Aug)

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Zenodo2026-02-06 更新2026-05-26 收录
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2015-Aug 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.'

2015年8月的SuperDARN雷达数据采用netCDF格式存储。本数据集的文件基于公开FitACF算法3.0版本生成,并使用了AACGM v2坐标系。若在学术出版物中使用本数据,请引用该数据集。 相关RST代码可于此处获取:https://github.com/SuperDARN/rst 依托SuperDARN开展的研究,离不开全球多国科研团队与工程人员的共同付出:他们负责雷达的搭建与运维、数据的处理与共享、数据产品的开发与优化,以及协助用户开展数据解译工作。 SuperDARN数据及数据产品的使用者,请在汇报与学术出版物中对上述支持予以致谢。致谢的简要规范说明如下。 若拟将研究成果投稿发表,请先与SuperDARN首席研究员(Principal Investigator,PI)取得沟通。 包含雷达及首席研究员(Principal Investigator,PI)联系方式的清单可在此处查阅:(SuperDARN雷达概览) 使用SuperDARN数据的标准致谢格式如下: "作者感谢对SuperDARN数据的使用。SuperDARN是由澳大利亚、加拿大、中国、法国、意大利、日本、挪威、南非、英国及美国的国家科学资助机构支持建设的雷达探测阵列。"

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2026-02-06
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