遇见数据集

SuperDARN data in netCDF format (2007-Sep)

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Zenodo2026-02-02 更新2026-05-25 收录
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2007-Sep 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2007年9月的SuperDARN雷达数据,采用网络通用数据格式(netCDF)。所有文件均基于公开FitACF算法3.0版本生成,坐标系采用修正地磁坐标系第2版(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 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辛勤付出: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,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,需在学术报告与发表论文中对上述支持予以致谢。 下文提供了致谢SuperDARN数据使用的简要说明。 用户在提交拟发表的研究成果前,还需事先咨询SuperDARN的首席研究员(Principal Investigator,PI)。 包含雷达名录及PI联系方式的清单可在此处查阅:(SuperDARN雷达概览) 使用SuperDARN数据的标准致谢措辞如下: '作者谨此致谢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、英国及美国的国家科学资助机构共同资助的雷达观测阵列。'

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创建时间:
2022-05-30
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