遇见数据集

SuperDARN Grid data in netCDF format (1996-Mar)

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Zenodo2023-02-20 更新2026-05-26 收录
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1996-Mar SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, 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/rstThe 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)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'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.'

1996年3月的SuperDARN雷达净CDF(netCDF)格式数据集。本批文件采用公开版FitACF与make_grid算法的3.0版本,结合AACGM v2坐标系生成。若在学术出版物中使用本数据集,请务必进行引用。 相关代码仓库(RST)可在此处获取:https://github.com/SuperDARN/rst。 SuperDARN相关研究的顺利开展,有赖于多国科学家与工程师团队在雷达建设运维、数据处理与共享、数据产品开发优化以及协助用户开展数据解译等多方面的长期投入。使用SuperDARN数据及数据产品的用户,需在学术报告与发表的论文中对该项支持致谢,以下提供SuperDARN数据使用的标准致谢示例。 此外,若拟将相关研究成果投稿发表,建议先与SuperDARN首席研究员(Principal Investigator,PI)取得沟通。雷达站点及首席研究员名录与联系方式可参见:<strong>SuperDARN雷达概览</strong>。 <strong>SuperDARN数据使用推荐致谢表述:</strong>‘本研究致谢使用了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探测阵列。’

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2023-02-20
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