遇见数据集

SuperDARN data in netCDF format (1997-Oct)

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Zenodo2026-01-17 更新2026-05-25 收录
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1997-Oct 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.'

1997年10月的netCDF格式超级双极光雷达网(SuperDARN)雷达数据。本数据集采用公开的FitACF算法3.0版本,结合修正地磁坐标(AACGM)v2坐标系生成。若在学术出版物中使用本数据,请引用该数据集。 雷达软件工具包(RST)可通过以下链接获取: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该支持予以致谢。 下文提供了致谢使用SuperDARN数据的简要规范。 投稿待发表成果前,用户还需咨询SuperDARN的首席研究员(PI)。 包含雷达与首席研究员联系方式的列表可通过以下链接查阅:(SuperDARN雷达概览) 使用SuperDARN数据的标准致谢格式如下: “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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2022-07-08
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