遇见数据集

SuperDARN Grid data in netCDF format (2002-Dec)

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Zenodo2023-03-02 更新2026-05-26 收录
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2002-Dec 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.'

2002年12月的超级双极光雷达网(SuperDARN)netCDF格式雷达数据。本数据集采用公开的FitACF与make_grid算法3.0版本生成,坐标系采用AACGM v2。若在学术出版物中使用本数据集,请予以引用。相关RST工具包可从以下链接获取:https://github.com/SuperDARN/rst。SuperDARN所支撑的各项研究,离不开全球多国科研团队与工程团队的共同付出:他们负责雷达的搭建与运维、数据处理与共享、数据产品的开发与迭代,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。下文提供了使用SuperDARN数据的标准致谢表述示例。用户在投稿发表研究成果前,还需与SuperDARN首席研究员(Principal Investigator,PI)进行沟通。包含雷达及PI联系方式的清单可通过以下链接查阅:《SuperDARN雷达概览》。<strong>使用SuperDARN数据的标准致谢表述:</strong>"作者谨此致谢使用了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、英国及美国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:
2023-03-01
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