SuperDARN Grid data in netCDF format (2000-Mar)
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https://zenodo.org/record/7652569
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资源简介:
2000-Mar 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/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.'
2000年3月的SuperDARN雷达数据采用netCDF格式存储。这批文件基于公开的FitACF与make_grid算法的3.0版本生成,采用AACGM v2坐标系。若您在学术出版物中使用本数据集,请务必引用本数据集。
RST工具可从以下网址获取:https://github.com/SuperDARN/rst
依托SuperDARN开展的研究成果,离不开全球多国科学家与工程师团队的辛勤付出——他们参与雷达的搭建与运维、数据处理与开放共享、数据产品的开发与迭代优化,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,请在学术报告与发表论文中对上述支持致以谢意。下文提供了致谢SuperDARN数据使用的简要说明。
用户在提交拟发表的研究成果前,还请先咨询SuperDARN的项目首席研究员(Principal Investigator,PI)。包含雷达站点与PI联系方式的列表可参见:(SuperDARN雷达概览)
使用SuperDARN数据的标准致谢格式如下:
"作者感谢对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、英国以及美利坚合众国的国家科学资助机构资助的雷达探测网络。"
创建时间:
2023-02-23



