SuperDARN Grid data in netCDF format (2001-Jun)
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https://zenodo.org/record/7652419
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资源简介:
2001-Jun 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.'
2001年6月的SuperDARN雷达网络通用数据格式(netCDF)数据。本批次文件基于公开FitACF与make_grid算法的3.0版本,并结合AACGM v2坐标系生成。若在学术出版物中使用本数据集,请予以引用。
相关RST工具可从以下地址获取:https://github.com/SuperDARN/rst
SuperDARN相关研究成果的达成,离不开多国科学家与工程师团队的共同付出——包括雷达的搭建与运维、数据处理与共享、数据产品的开发优化,以及为用户提供数据解译协助。使用SuperDARN数据及数据产品的用户,需在学术报告与出版物中对上述支持致谢。下文提供了SuperDARN数据使用的标准致谢示例。
此外,若拟将研究成果投稿发表,建议先咨询SuperDARN项目首席研究员(Principal Investigator,PI)。雷达与首席研究员名单及联系方式可参见《SuperDARN雷达概况》。
SuperDARN数据使用推荐致谢声明:
"本研究作者感谢使用SuperDARN数据。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支持建设的雷达探测阵列。"
创建时间:
2023-02-25



