Wallops SuperDARN data in netCDF format (2021-Feb)
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https://zenodo.org/record/5951151
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资源简介:
2021-Feb Wallops 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/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.'
2021年2月沃勒普斯(Wallops)超达恩(SuperDARN)雷达数据集,格式为netCDF。本批数据文件采用公开FitACF算法的2.5与3.0版本生成,并使用AACGM v2坐标系。若在学术出版物中使用本数据集,请予以引用。
本项目相关RST软件包可从以下地址获取:https://github.com/SuperDARN/rst
依托超达恩(SuperDARN)开展的研究,离不开多国科学家与工程师团队的协同付出——他们参与雷达的建设与运维、数据处理与开放共享、数据产品的开发优化,以及协助用户开展数据解译。超达恩数据及数据产品的使用者,请在学术报告与出版物中对该项支持致谢。下文提供了超达恩数据使用的致谢规范范本。
拟投稿发表的研究成果,需在投稿前咨询超达恩项目首席研究员(Principal Investigator,PI)。包含雷达站点及首席研究员联系方式的清单,可参见《超达恩雷达概览》(SuperDARN Radar Overview)。
超达恩数据使用的标准致谢措辞如下:
“作者谨此致谢超达恩数据的使用。超达恩是由澳大利亚、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国家科学基金机构共同资助的雷达组网系统。”
创建时间:
2022-02-12



