遇见数据集

SuperDARN data in netCDF format (1997-Apr)

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Zenodo2022-07-09 更新2026-05-26 收录
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1997-Apr SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 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/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.'

1997年4月的netCDF格式SuperDARN雷达数据。本批数据文件采用公开的FitACF算法2.5与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,请予以引用。 相关RST代码仓库可通过以下链接获取:https://github.com/SuperDARN/rst 依托SuperDARN开展的研究,离不开多国科学家与工程师团队的共同努力——他们负责搭建并运维雷达网络、处理并开放数据、研发并优化数据产品,同时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,需在学术汇报与发表论文中对上述支持致以谢意。下文提供了SuperDARN数据使用致谢的简短声明模板。 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(Principal Investigator,PI)。包含雷达及首席研究员联系方式的列表可在此处查阅:《SuperDARN雷达概览》(SuperDARN Radar Overview) <strong>推荐的SuperDARN数据使用致谢声明格式:</strong> “本研究团队致谢使用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组网系统。”

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Zenodo
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2022-07-08
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