遇见数据集

SuperDARN data in netCDF format (1999-May)

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Zenodo2026-01-17 更新2026-05-25 收录
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1999-May 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.'

1999年5月的SuperDARN雷达数据采用netCDF格式存储。本批文件通过公开的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集,请务必引用该数据集。 相关RST工具可在此获取:https://github.com/SuperDARN/rst 依托SuperDARN开展的研究成果,离不开多国科学家与工程师团队的共同付出——他们参与雷达的搭建与运维、数据处理与共享、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,需在学术报告与出版物中对上述支持工作致谢。 下文提供了致谢SuperDARN数据使用的简短规范示例。 使用者在投稿出版前,还需咨询SuperDARN的首席研究员(Principal Investigator,PI)。 包含雷达及首席研究员联系方式的清单可在此查阅:(SuperDARN雷达概览) SuperDARN数据使用的标准致谢格式如下: "作者感谢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、英国及美利坚合众国的国家科学基金机构共同资助组建的雷达观测网络。"

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Zenodo
创建时间:
2022-07-07
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