遇见数据集

SuperDARN Grid data in netCDF format (2000-Aug)

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Zenodo2023-02-23 更新2026-05-26 收录
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2000-Aug SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, 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.'

本数据集为2000年8月的netCDF格式SuperDARN(超双极光雷达网络)雷达数据。本数据集采用公开的FitACF与make_grid算法3.0版本生成,坐标系采用AACGM v2。 若在学术出版物中使用本数据集,请予以引用。 相关RST工具包可在此处获取:https://github.com/SuperDARN/rst SuperDARN支撑的各项研究成果,离不开多国科学家与工程师团队的辛勤付出——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,以及协助用户进行数据解读。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本项目的支持予以致谢。下文提供了致谢的规范表述示例。 若拟将研究成果投稿至学术期刊发表,用户需提前与SuperDARN的PI(Principal Investigator,项目负责人)取得联系。雷达站点与PI的联系方式清单可在此处查阅:(SuperDARN雷达概览) <strong>使用SuperDARN数据的致谢规范表述:</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基金机构资助的雷达探测网络。'

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Zenodo
创建时间:
2023-02-20
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