遇见数据集

SuperDARN data in netCDF format (2012-Apr)

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Zenodo2026-02-04 更新2026-05-25 收录
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2012-Apr 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.'

2012年4月发布的netCDF格式SuperDARN雷达数据集。本数据集采用公开FitACF算法3.0版本进行处理,坐标系采用AACGM v2。若在学术出版物中使用本数据集,请务必引用该数据集。 相关RST工具可通过以下链接获取:https://github.com/SuperDARN/rst 依托SuperDARN开展的相关研究,离不开全球多国科研团队与工程师团队的共同付出: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,需在学术报告与发表成果中对上述支持致以谢意。下文提供了SuperDARN数据使用的标准致谢规范。 用户在提交拟发表的研究成果前,需先与SuperDARN的首席研究员(Principal Investigator,简称PI)取得联系咨询。包含雷达列表及首席研究员联系方式的详细信息,可通过以下链接查阅:(SuperDARN雷达概况) 使用SuperDARN数据的标准致谢表述如下: 「本研究团队感谢对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支持建设的雷达探测阵列。」

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2022-05-05
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