遇见数据集

SuperDARN data in netCDF format (2001-Feb)

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Zenodo2026-01-19 更新2026-05-26 收录
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2001-Feb 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.'

2001年2月的超级双极光雷达网(SuperDARN)雷达数据,采用网络通用数据格式(netCDF)存储。本批次文件通过公开的FitACF算法3.0版本生成,坐标系采用自适应地磁坐标系统v2(AACGM v2)。若在学术出版物中使用本数据集,请务必予以引用。 本研究软件工具包(Research Software Toolkit,RST)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人员的共同付出:他们负责雷达的搭建与运维、数据处理与共享、数据产品的开发与优化,同时为用户提供数据解译方面的协助。 使用SuperDARN数据及数据产品的用户,请在学术报告与出版物中对本项目的支持致以谢意。 下文提供了致谢SuperDARN数据使用的简要规范。 用户在提交拟发表的研究成果前,还请先联系SuperDARN的首席研究员(Principal Investigator,PI)进行咨询。包含雷达清单及PI联系方式的列表可通过以下链接查阅:(SuperDARN雷达概览) 推荐的SuperDARN数据使用致谢格式如下: "作者感谢SuperDARN数据的使用支持。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基金机构共同资助的雷达探测阵列。"

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2026-01-19
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