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SuperDARN data in netCDF format (2019-Aug)

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Zenodo2026-02-10 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.6653971
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2019-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.'

2019年8月的SuperDARN雷达数据,格式为netCDF。本数据集采用公开FitACF算法3.0版本生成,所用坐标系为自动辅助地磁坐标(AACGM)v2。若在学术出版物中使用本数据集,请予以引用。 相关RST工具可从以下链接获取:https://github.com/SuperDARN/rst SuperDARN相关研究的顺利开展,离不开多国科学家与工程师团队的共同付出:他们负责雷达的搭建与运维、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相关研究的顺利开展,得益于多国科学家与工程师团队的共同付出:他们负责雷达的搭建与运维、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。 使用SuperDARN数据及数据产品的用户,请在学术报告与出版物中对上述支持予以致谢。以下提供SuperDARN数据使用致谢的简短示例。 用户在提交拟发表的研究成果前,还请先咨询SuperDARN的首席研究员(PI)。包含雷达及首席研究员(PI)联系方式的列表可通过以下链接查阅:(SuperDARN雷达概况) SuperDARN数据使用的标准致谢声明如下: '作者对使用SuperDARN数据致谢。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资助的雷达组网系统。'
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Zenodo
创建时间:
2022-06-17
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