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SuperDARN Grid data in netCDF format (1998-Jan)

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https://zenodo.org/record/8270944
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1998-Jan 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.'

1998年1月的SuperDARN雷达数据集,采用netCDF格式存储。本数据集文件基于公开的FitACF与make_grid算法3.0版本生成,坐标系采用AACGM v2标准。若在学术发表中使用本数据集,请予以引用。 相关RST工具包可从以下链接获取: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协同付出:他们参与雷达的架设与运维、数据处理与共享、数据产品的开发与迭代,以及为用户提供数据解读协助。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。下文将简要说明SuperDARN数据使用的致谢规范。 投稿至学术期刊前,用户还需先咨询SuperDARN项目的首席研究员(Principal Investigator,简称PI)。各雷达站点及首席研究员的联络信息清单可在此查阅:(SuperDARN雷达概览) SuperDARN数据使用的标准致谢格式如下: 「作者谨此致谢使用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基金机构资助的雷达观测网络。」
创建时间:
2023-08-22
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