遇见数据集

SuperDARN data in netCDF format (2011-May)

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Zenodo2022-05-16 更新2026-05-25 收录
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2011-May 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/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.'

2011年5月的网络通用数据格式(netCDF)SuperDARN雷达数据。本数据集采用公开FitACF算法(FitACF algorithm)的2.5与3.0版本生成,坐标系采用AACGM v2坐标系(AACGM v2 coordinate system)。若在学术出版物中使用本数据集,请予以引用。相关RST工具可在此处获取: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、数据处理与开放共享、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,需在学术汇报与出版物中对上述支持予以致谢。下文提供了SuperDARN数据使用致谢的简要说明。 用户在提交拟发表的研究成果前,还请先与SuperDARN项目首席研究员(Principal Investigator,简称PI)取得联系。含联系方式的雷达站点与PI名录可在此处查阅:(SuperDARN雷达概览) <strong>SuperDARN数据使用推荐致谢格式:</strong>‘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、英国以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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Zenodo
创建时间:
2022-05-10
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