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SuperDARN data in netCDF format (2007-Feb)

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https://zenodo.org/record/6592080
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2007-Feb 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/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.'

2007年2月的SuperDARN雷达数据,格式为netCDF(netCDF)。本批文件采用公开的FitACF算法(FitACF)2.5与3.0版本生成,坐标系采用AACGM v2(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(RST)可通过以下链接获取:https://github.com/SuperDARN/rst SuperDARN相关研究的顺利开展,有赖于多国科学家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、数据产品的开发与优化,并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该支持致以谢意。下文提供了致谢SuperDARN数据使用的简短说明。 此外,若拟将研究成果投稿发表,建议用户先咨询SuperDARN的首席研究员(Principal Investigator,PI)。包含雷达站点与首席研究员联系方式的列表可参阅《SuperDARN雷达概览》。 使用SuperDARN数据的标准致谢表述为: "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、英国及美利坚合众国的国家科学资助机构资助的雷达网络。"
创建时间:
2022-05-31
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