遇见数据集

SuperDARN data in netCDF format (2007-Jan)

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Zenodo2022-06-07 更新2026-05-25 收录
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2007-Jan 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.'

2007年1月的SuperDARN雷达数据,格式为netCDF。这些数据文件采用公开的FitACF算法的2.5和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,请引用该数据集。RST工具包可从以下链接获取:https://github.com/SuperDARN/rst。SuperDARN支持的各项研究,得益于多国科学家与工程师团队的共同努力——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,需在学术报告与出版物中对上述支持予以致谢。下文提供了致谢使用SuperDARN数据的规范表述。用户在提交拟发表的研究成果前,还需与SuperDARN的首席研究员(Principal Investigator,PI)进行沟通。包含雷达与首席研究员(PI)联系方式的列表,可通过以下链接查看:《SuperDARN雷达概况》。**使用SuperDARN数据的标准致谢表述:**‘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、英国以及美国的国家科学资助机构支持建设的雷达组网系统。’

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Zenodo
创建时间:
2022-05-31
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